Companies are swiftly adopting digital technology, with the whole industry moving towards the Fourth Industrial Revolution (FIR) or Industry 4.0. The ultimate end goal of almost all industries is to be self-sustainable, with automation at its core eventually like the Skyscraper Window Washing Robots. Subsequently, the industry has to adapt and integrate robotic technology in its operational process to reach this goal.
Robotics technology is rapidly evolving in both accessibility and usability. With this evolution, the technology is getting better and more usable, but the robotics market is also more valuable. Consequently, the robotics industry is currently one of the biggest markets of the technology paradigm.
In hindsight, the market also reflects this favorable shift of the industry towards robotics technology. As a result, researchers forecast that the global robotic industry market was more than 27 Billion US Dollars in 2020, with the other estimation that it will cross 74 Billion US Dollars by 2026. This increase in the market value represents an annual increase of more than 17%.
Furthermore, these figures will only increase in rate and estimation in the future post-COVID-19 pandemic era where work-from-home and remote technology is experiencing an enormous boost in development, accessibility, and adoption.
Robotics especially shines in industries where the work is either reparative or dangerous. Industries see this in retrospect in which various industries and production use robotic technology to achieve automation in repetitive and potentially dangerous tasks. For example, in the cleaning industry, skyscraper window cleaning is a hazardous task. With skyscrapers towering very high, the workers usually have to climb onto a platform that is hanging potentially even a hundred floors above with the support of a couple of wires.
Cleaning windows properly is just one of the problems when you are dangling hundreds of floors above the ground. With such high risk, the window cleaning industry rides on workers with steel nerves and a good cleaning capability. Although this business is lucrative, the lack of such workers and even companies that perform such risky jobs. The industry is also declining due to the same reason. With over 40 Billion US Dollars worth of market revenue every year, the window cleaning industry faces a lack of young talents to replace the old and trusty workers. The fact that above 74% of workers with training for such jobs are over 40 years old reflects this problem. Consequently, although a lucrative business, it's a dangerous job facing a severe lack of replacement workers.
One of the primary solutions to this problem is to remove workers from the task altogether. Therefore, replacing the window cleaning workers with robots is one of the possible solutions to eliminate human risk and increase efficiency and potential. Hence, window cleaning robots are growing in popularity in this business.
But to know how this all works, we first have to know about robots.
What is a Robot?
A robot is a programmable machine that can automatically perform specific tasks or take particular actions without requiring human assistance.
People usually imagine robots as machines with humanoid shapes with high intelligence, at least that is the depiction of robots in media and science fiction. But unlike robots in popular media and science fiction cultures, robots come in different forms, sizes, and uses. Furthermore, a robot is any machine with some level of processing power and can perform specific tasks without needing human intervention.
Read more: How DeepMind Is Reinventing Robotics!
For instance, the disk-shaped machine/device that cleans the floor automatically while moving on its own and avoiding obstacles is a robot. Similarly, various toy robots and robotic kits are already available in the consumer market. Drones are also a type of robot that can fly autonomously, balance themselves and follow directions from human operators. Apart from the consumer market, robots are also widely in use in industrial settings. The most widespread use of robotic technology and robots is seen in industries and production sites.
A robot is not a singular device or a machine; instead, it combines various components, systems, and incoherence to perform multiple tasks. These components include sensors, processors, storage systems, power supplies, mechanical parts like wheels, arms, chains, cameras, actuators, rotors, motors, etc. These components, devices, and systems work together efficiently to behave like a singular unit and perform various tasks with collaboration and communication.
With the advancement of technology, various systems, including sensors, processing power, battery power, storage systems, motors, actuator systems, and digital systems, are getting more modern and efficient. With the constant evolution of these components, they are increasingly getting complex. However, increasing complexity also increases the ease of use, efficiency, and capability of these components. The whole robotic engineering paradigm reflects this increase with robots getting smarter, more capable, and more efficient in performing various tasks and jobs with increasing levels of autonomy.
The Case of Skyscraper Window Washing Robots
Skyscrapers are, as their name reflects, very tall and usually stand over 150 meters high. On the other hand, mega-skyscrapers are well over 600 meters in height with more than hundreds of floors. These skyscrapers also require a vast amount of maintenance, including cleaning their windows. But these skyscrapers are so tall that regular cleaners cannot clean them. So they need professional window cleaners.
Professional window cleaners usually stand atop a platform hanging beside skyscrapers and are controllable by a crane. This crane can take them downwards or upwards and sideways across the building. Although the media onto which the workers stand to have railings for safety, it still hangs above hundreds of floors above where one small mistake or mishap can end horribly. Besides these factors, the weather is also a significant factor that can increase the risk of window washing, especially if it is a windy season. So it is a pretty risky job from every corner possible.
Moreover, besides the danger of hanging beside such tall buildings, window cleaning is also a challenging job, with few workers even willing to climb onto the platform that's dangling hundreds of meters above the ground. This same case is why this business is so lucrative in the first place. Unfortunately, this is also becoming why new recruitments are getting complicated. With over 74% of the trained professional window washers being over 40 decades old, the replacement rate with young blood is thin.
Even if one does not fear heights, the job has a significant risk of losing their life, making it unattractive to many. The risk factor is very unfavorable with humans on the scale.
How Robots Make Skyscraper Window Washing More Safe?
Right off the bat, when robots are the ones cleaning the skyscraper windows, we can eliminate the risks of having humans on platforms besides the skyscrapers. When robots are replacing almost every human labor, it is essential to look into this factor where the risk of losing life is more than human labor. It will significantly reduce the risks along with having massive leverage if something does go wrong. Thus, we can remove the heavyweight of having potential dangers for humans.
With robots, maintenance along with cleaning is straightforward to perform. With the advancement in remote technology or even autonomous technology, window cleaning robots can leverage this by being controllable by humans or even independent at their tasks. With robots, workers can permanently bolt or fix the robots onto the lift mechanisms, significantly reducing the time consumption that would otherwise be used in checking harnesses or straps for human workers. It will reduce the turnaround times between jobs and save time significantly.
Not only will window cleaning become safer, but it will also become more efficient and fast while consuming fewer resources. Another significant advantage of using window cleaning robots is the economic benefit. These robots can work at almost any condition without stopping and even multiple robots for faster turnaround times between different jobs. As a result, it will undoubtedly bring more returns from the investment.
It will increase the work capacity of window cleaning companies and make the whole gig more economical for consumers. It will also be fascinating for the skyscraper owner to see the robot cleaning the window rather than being guilty of risking human life. Meaning it will attract more consumers and even less time between the cleaning cycles. It will increase the market value and revenue of the whole industry altogether.
FS Studio, therefore, provides robotic services like Offline Robotic Programming or even robot training and software development that can cater to the window cleaning business. FS Studio’s collective experience and knowledge from decades of research and development with solutions like Robotic Simulation Services alongside emerging technologies like AR and VR.
With expertise in Artificial Intelligence and technologies like Machine Learning (ML) and Big Data, FS Studio provides intuitive solutions for product development and innovative R&D technologies. FS Studio offers cutting-edge solutions for present problems and issues. It also empowers its clients with solid solutions that will also help them solve and tackle future challenges.
Skyscraper window washing robots are a massive step for window washing companies. They are safer, efficient, and cost-effective on top of enabling new opportunities and possibilities not only in end jobs but also on business fronts. With the Industry 4.0 approach, industries are transforming themselves towards digital technology to strive for automation. This goal relies heavily on robotic technology that enables intuitive solutions like skyscraper window washing robots.
With the evolution of simulations and 3D tech, innovative technologies are starting to emerge. Digital Twin is an emergent technology gaining massive momentum in the industry. As the Fourth Industrial Revolution comes closer, digital twins’ technologies are maturing and evolving rapidly, increasing the utilization of practical applications of digital twins.
Moreover, with the incorporation of technologies like Artificial Intelligence (AI), Machine Learning (ML), or Big Data, companies are converging digital twin technology with emerging technologies like Augmented Reality (AR) and Virtual Reality (VR). As a result, it enables rapid design and development and allows smart solutions in production, sales, logistics, and the global supply chain.
Digital twins are a massive boon for rapid prototyping during the design and development of a product. Furthermore, due to the ability to enhance current manufacturing & product development, industries worldwide are incorporating digital twin technology in their business, product development, and even consumer experience. The current global digital twin market sits at 5.4 Billion US Dollars, but this slump is due to the COVID-19 pandemic shutting down many industries and production along with it. As a result, the world was simply not ready to adopt it rapidly.
However, with adaptation, digital twin technology is rapidly rising in applicability and usability and increasing accessibility even at the end-user side. With this in hindsight, researchers predict that the global digital twin market will cross 63 Billion US dollars by 2027. This estimation shows a high annual growth rate of 42.7%. Furthermore, it shows that the market, industries, and even consumers are moving towards the much-awaited digital transformation of Industry 4.0.
Read more: Reduce Costs with IoT and Digital Twins
To understand the practical applications of digital twins, we first have to understand the technology itself.
Know Your Technology: Digital Twins
Digital twins technology is evolving in both its technological reach/sophistication and its meaning. While the idea of digital twins is not new, it is undoubtedly going through a massive revelation in the industry currently. Furthermore, with technologies like 3D models, simulations are rising. As a result, digital twins are also gaining momentum in the industry.
The digital twin accurately represents a real-world physical object or an environment in a digital form. Do not confuse digital twins with 3D models or simulations. It is much more than that. Digital twins represent a subject (any object in the real world) not just in a static manner but in a dynamic way. It means that the digital twin will always represent the product/object throughout its lifecycle. The twin always reflects any change or modification on the real-world object or vice versa, in which the real-world object demonstrates a shift in the digital twin.
While 3D models just simulate some properties and structure of an object, the digital twin represents and accurately reflects all properties and characteristics of the real world. From design, materials, behaviors, and properties, the digital twin represents them all. So it becomes easier to reflect changes of both the digital twin and the real object. Furthermore, it remains accurate throughout the whole design phase, developmental phase, prototyping, or even after production for maintenance or repair, effectively reflecting all stages of a product.
Furthermore, unlike a 3D model, which is just an informational model, digital twins react and behave in a certain way similar to the real object in different environments and conditions. Due to this, the digital model is more dynamic and adaptive. Moreover, with AI at its core, digital twin technology enables communication, updating, and even learnability similarly to its real-world counterpart through the exchange of data among each other.
With technologies like AI with ML or data analysis, digital twins are becoming more accurate and smart. It also enables more flexible product phases for the design and development of a product. They help product developers explore different solutions freely without concerns relating to physical material costs or loss. Companies worldwide are rapidly adopting digital twin technology, enabling various applications and use cases to arm themselves with this type of revolutionary technology.
Here, we list some of these potential uses and practical applications of digital twins technology as shared by 13 different tech experts of the Forbes Technology Council.
1. To calculate product performance statistics and measures
Michael Campbell from PTC shares that with innovations enabling digital twins to be a comprehensive digital equivalent of a product or process in the real world, product developers or manufacturers can understand how the product is in use or performing. They can even track if the product or supply line may break down or is low in supplies. Campbell remarks that all this can lead to a better experience for the end consumer.
2. Simulating complex manufacturing scenarios
Eugene Khazin from Prime TSR remarks that digital twins have great use in the form of a precise virtual representation of a production supply chain. It will use advanced analytics and machine learning systems to predict and simulate different complex “what-if” scenarios without running these in actual production. As a result, manufacturers and production sites will utilize resources more efficiently and accurately to increase product quality.
3. Removing risks from different experimentations and analysis
Kathleen Brunner from Acumen Analytics Inc states that digital twin technology is a game-changer saying that it can eliminate the need to perform various experiments and studies with actual equipment or processes. Digital twins offline can enable multiple investigations of various complex and what-if analyses of different scenarios. Practical applications of digital twins allow optimization of other parameters and outputs with a digital representation or replica interface that responds to human and environmental inputs. These digital experiments significantly de-risks these physical experimentations by deeming them unnecessary.
4. Improving software products
Vince Padua from Axway explains that one way for the practical application of digital twins is to leverage actual customer usage data. This data can improve enterprise software products through its analysis. The data collection can include whether users are using a particular feature and how they receive notifications or collaborate with other users. Developers can create a digital twin of the customer experience using this data, while Artificial Intelligence can determine and predict the fastest and most efficient ways to solve various issues.
5. Real-Time information sharing and analysis
Gerald Rousselle from One Concern shares that digital twins can produce new functionalities since they represent the physical world in a form that computers can understand. He says that a GPS in mobile can be a digital twin of the natural world to provide accurate and real-time direction and navigations to your destinations.
6. Creating valuable digital assets
Ghufran Shah from Metsi Technologies Ltd explains that there is a lot of hype around cryptocurrency and non-fungible assets/tokens or NFTs. He clarifies that NFTs are a way to represent a physical asset such as a picture, video, or even a music clip in a digital format. Once a physical object is mapped into an NFT, a unique identity of this asset can now live forever within the blockchain. These assets can even gain monetary value and become valuable collectible.
7. Facilitating hybrid teaching methods
Zeng Fan from the University of Miami Herbert Business School says that the schools and universities are equipping classrooms to accommodate virtual conferencing tech for virtual teaching due to the pandemic. This technology is similar to one of the practical applications of digital twins, face-to-face and digital/virtual class deliveries. This technology can also be in use for recording asynchronous digital course content.
8. Improving vehicle safety
Stefan Kalb from Self Engine explains that it's costly to use real cars and crash test dummies to get actual life data about car crashes, potentially saving lives. If digital twins technology is used, it can collect sensor data from inside a car as in the real world. This data, over time, can go through analysis and study and perform numerous cost-effective and efficient car crash simulations. These simulations can provide data that can improve the safety of real-live cars.
9. Supporting sustainable clothing practices
Julia Dietmar from Vue.ai explains that an excellent example of digital twin technology can be a “digital passport” for different pieces of clothes that are manufactured. Such “passports” can contain various information such as product attributes, raw materials, factory information, and even previous owner information. It can prove to be very useful for sustainable clothing practices.
10. Collecting and providing input for databases
Vitaly Kleban from Everynet says that the lack of ML and data analytics data is a genuine concern, even putting multimillion-dollar investments at risk. But digital twins can serve as an interface between real-world hardware and sensors to collect data from the physical world. The practical applications of digital twins can even prove to be a key to providing enough data for ML systems.
11. Preventing sports injuries and enhancing athletic performance
Laurie McGraw from AMA explains that the NFL has a digital twin for every player through field cameras and sensors. It can recreate every move or body posture of the players. This level of sophistication has huge potential regarding injury prevention and even improving player and game performances. These types of data and information can prove to be very useful for more than just elite athletes.
12. Providing personal assistance
Kerrie Hoffman from getting Digital Velocity and Focal Point Business Coaching state that smartphones are already digital twins of every person. Smartphones are already acting as our digital twins since they provide various functionalities like “Swipe to Pay '' when entering a coffee joint or providing alternate routes when there is a traffic jam ahead.
13. Optimizing traffic flows
Joaquin Lippincott from Metal Toad explains that practical applications of digital twins in the transportation sector are enormous. With smart vehicles and smart cities, planning and real-time adjustments to traffic are possible, optimizing traffic flows and saving time. Such technology may be dangerous, but we can test, optimize, and later implement such technology much more safely with digital twins.
The industry swiftly moves towards the Future Of Industrial Robotics, i.e., the Fourth Industrial Revolution (FIR). With this, industries and production plants are moving towards digital technology and probably reaching an efficient automation solution. To pursue this goal, industries are marching to develop their enterprises and production sites with robotic technology.
Robotic technology is increasing in sophistication and complexities. It is also going through a vast evolution of its use case and efficiency. In earlier times, where robots were much slower, inefficient, and less capable. While with modern technology, robotics now progresses much faster, with more efficient and competent robots. The robotic market is blooming with the advancement of sensors, communications technology, processing technology, storage systems, battery technology, and electronic components’ general efficiency and power.
This boom of the robotic market is not only for the industrial robotic paradigm, but even the common consumer market is experiencing this boom, its in pair with the increasing availability, accessibility, and ease of use of robotic technology at all sides. Consequently, today robots are not only available for industries and production plants but also in the general consumer space. Hence, the robotic industry itself is rising as a capacity market.
The robotic industry is growing at an unprecedented rate. With demands soaring through the sky, the robotic industry swiftly rises as one of the biggest markets. One of the most significant demands of robotic technology and robots is the industrial market with various industries and production sites. And since several types of industries currently “run” the world and robotic technology are at the forefront of these industries, it's one of the essential cornerstones of our future world.
With various robotic companies researching and developing innovative solutions and technologies within robotics, they are also propelling numerous industries towards success, efficiency, and even the future of the industrial robotics market, Industry 4.0. Furthermore, with robots simplifying and increasing the capabilities of industries, the robotic industry is also experiencing rapid growth. Consequently, researchers expect that the industrial robotic services alone will cross 4 Billion US Dollars in market value.
FS Studio is an innovative company that provides various state-of-the-art digital technology services like Robotic Simulation Services, Offline Programming, AI, AR, and VR. It also monitors the industry closely to prepare itself and its solutions to excel more in the future and essentially be future-proof. Reports from this monitoring help our clients and partners to identify various companies and opportunities lying within them. Furthermore, it will help them plan out different strategies regarding the robotic services they are planning to get and optimize their market position and plans.
Following are the ten companies that will dominate the industrial market in robotics.
With its establishment of robotic systems in 1980, Mitsubishi Electric has possibly been the leader in industrial robotics with automation since then. The company provides its services with a wide range of robotic systems and automation solutions that help to improve productivity and efficiency around the industry. It also specializes in high-speed and precision performance systems in the industry. Mitsubishi Electric provides RH-CH compact Selective Compliance Assembly Robot Arm (SCARA) and articulated arm robotic systems and provides delta style robots from leader innovator or pick and place robots, Codian Robotics. Mitsubishi Electric generally provides lightweight and value-for-money robot systems with reasonable costs and a warranty of about three years in a robot purchase.
(ABB) ASEA Brown Bover
ABB, or ASEA Brown Bover, is a robotic company with an international reach in over 100 countries. With its establishment in 1883, ABB remains to be a leader in robotic technology innovation. ABB also holds the prestige to be a company to pioneer the first electric microprocessor-controlled robot and be the world’s first company to produce an industrial paint robot. It has sold over 300 thousand robot units worldwide by 2019 and remains a multinational robot company with expertise in the automation and motion department. Some of its essential products include FlexPainter robots (IRB 5500-22), Pre-machining robots (IRB 6660), Press tending robots (IRB 6660), Dual-arm robot YuMi (IRB 14000), and SCARA robots (IRB 910SC).
B+M Surface Systems GmbH
In 1992, B+M Surface Systems had a high reputation for automation systems and remained the leader in high-quality painting plants with automation and different surface application systems. As its name implies, it's a world-leading robotic company in surface design and painting, all from design and installation to maintenance and support. They help their customers in all fronts of robot technology usage with high customization for their customers. It is a leader in surface painting robots with products like Painting Robots with its T1 X5 Series robots and Adhesive Dosing Systems with its T2 X5 series robots.
In 1915, Yaskawa led its journey towards the robotic industry by releasing the all-electric industrial robot, Motoman, in 1977. Since its release, Yaskawa has sold over 300 thousand units of Motoman, which is an all-electric industrial robot. Yaskawa remains the leader in applications like welding, packaging, assembly and material removal, material cutting, and dispensing. It has sold vast numbers of products, including over 18 million inverters and 10 million servos. Its essential products include Arc Welding Robot with VA1400, Assembly Robots with HP20F, Pick and Pack robot with its G series robots, and Spot Welding with MH255.
Omron Adept Technologies
In 1948, Omron Adept Technologies was the leader in guidance systems with computer vision systems. It excels in designing and manufacturing these robots. It is also the largest robotics company that is based out of the USA. It usually provides cost-effective robotic solutions with the integration of various use-cases and automation.
Omron Adept Technologies also includes application software solutions with automation systems/equipment and mobile robots. Some of the critical robot products from Omron include Hornet, Cobra, eCobra, and Delta robot systems.
FANUC is a leader in integrating Artificial Intelligence systems in robots and providing a wide range of industrial applications with robots of over 100 different models. It works on dynamic and smart solutions with AI integration and maintains its competitive edge with great flexibility. The FANUC robots are generally easy to operate, smart, and provide dynamic solutions. Some of the best FANUC robotic solutions include articulated robots of M-20B/25 series, collaborative robots with FANUC CR series, robots of R2000iC series, SCARA robots, and delta-style robots with M-1/2/3 series.
Kuka is a German company that leads the robotic industry with its automated range of fully customizable software solutions with integrated robots with control technology and embedded automation systems. With its foundation going back to 1898, its focus and dedication to automation with robotics began in 2004 when the company either sold or closed other non-core departments to shift its primary focus towards automation and robotics. Some of the critical robotic systems of Kuka include Press-to-Press robots, Palletizing robots with its QUANTEC robots, some shelf-mounted robots, AGILUS robot system, which is a hygiene machine variant, and its KR AGILUS series, including KR 30 and 60 F series robots.
EPSON is probably prominently known for its printing solutions in small printers. But the company was initially known for its automation systems and later became a major company dealing with various manufacturing sites with its different machinery solutions. Robotic technology from Epson excels in automation with several compact SCARA robots, PC-based and controlled robots. Its main products include G-series robots, SCARA with T-Series robots, and LS and RS series robots.
In 1896, Kawasaki became a leading robotic technology company with over 160 thousand robot systems sold and installed. Kawasaki was thought to be the future of industrial robotics in Japan as it was the first company to commercialize industrial robots in Japan. It also pioneered and highly contributed to industry robot popularity and integration of various labor-saving systems and solutions. One of the most prominent products of Kawasaki has been its SCARA robot, duAro, which is a dual-arm robot with human collaboration capabilities. Some of its critical robotic products include Painting solutions with its K Series robots, Pick-and-Place robotic solutions with its Y-series robots, B-series robots for Spot welding, M series robots for medical and pharmaceutical solutions, and duAro SCARA robots.
Though with a wide range of solutions, Staubli excels in Robots, Textiles, and Connectors. From its inception in 1892 in Switzerland with the textile business, Staubli began its industrial robotic journey devoted to quality engineering and factory floor solutions. Currently, Staubli also provides connector solutions with its expertise in both fluid and electrical connectors. With its accession of Unimation, Staubli is firm in its position towards being a most innovative industrial robotic solution provider company. It also provides various software solutions and various collaborative robots. Some of the significant products of Staubli include its RX series robots, TX2 series robots, CS series robots, TS80 robots, and TP90 robots. Various industries and production facilities are looking to invest in robotic technology. The whole industry is marching towards automation and its digital transformation to prepare itself for the future of industrial robotics with Industry 4.0. The robotic industry sets the path for these industries with its innovative robotic solutions and automation solutions. And these companies will undoubtedly be at the forefront when the industry sets its foot into this new landscape of Industry 4.0.
Teaching robots is a time-consuming and laborious task, especially when you’re manually teaching robots. Particularly with robots of niche applications, use cases, and robots with complex movements or robots within specific environments like industries and production. Robotic technology is continuously evolving, and so is its complexity. However, robotic tech is also becoming easier to use, more accessible, and more adaptable with increasing complexity. Conversely, teaching robots through traditional approaches like Teach Pendants is getting more and more challenging and complex.
The Robotics industry is complex because of the sheer complexity of the technology and the cost of developing, building, and deploying a robot. Robot research and development and deploying robots are challenging tasks because of the sensitive nature of testing in robotics. Testing a robot is an expensive task. Consuming massive resources and time, testing robots along with training them is a very resource-intensive task.
However, due to the advancement of technology and the Fourth Industrial Revolution (FIR) inching closer and closer, industries are rushing towards digital technology and automation, which, in some scenarios like industries and production only possible with robots. Consequently, the importance of robotics in the production industry is increasing day by day. As a result, manufacturers and production sites are getting more eager to adopt their production line with robots with digital technology at its core. And manually teaching robots would only slow the production down and eventually leave you behind in the competition.
The Complexity in Robotics
With robotics comes its complexity. A robot is not a single entity but an integration of several different parts, components, and systems working together. These parts, components, and systems are usually various mechanical parts, motors, actuators, hydraulics, sensors, processing systems, networking interfaces, and many more. These components are very hard to build and even complex to perfect. Furthermore, integrating these parts to work together simultaneously with efficient cohesion to achieve a system that can perform specific tasks is complex on another level.
The integration may well be complete and the robot ready. But another major hurdle comes in the form of programming/coding the robot. Programming a simple robot with a particular function may be easy, but the robots that have to perform complex tasks while performing complex movements with precision are strenuous. This difficulty only scales up for industrial robots that have to accomplish tasks with accuracy and repeatability and perform various activities and functions within the production environment.
Why Manually Teaching Robots Will Hold You Back?
Programming a complex robot also requires a complex teaching process. The traditional approach to programming and coding robots is to use teaching pendants. Teaching pendants are a device that helps robot operators to control and program an industrial robot remotely. For example, these devices can code or teach a robot to follow a specific path or perform certain actions in a particular manner. With teaching pendants, robot operators or developers have to teach these robots manually.
Manual robot teaching may be easier on robots with low movement paths, simple actions, or singular axes. But industrial robots are a whole another story. They need to be constantly working in a usually adaptive and harsh environment of production. Such robots are complex and also very sensitive. Hence training the robots with teaching pendants is a difficult task. It is a very time-consuming task with the requirement of the teaching personnel to be present at all times. Furthermore, the robots have to be in teaching mode during all this time which means they cannot perform other tasks. Add this to the fact operators have to take them out of production during this long teaching process. All this makes manual teaching very cumbersome.
The downtime while teaching the robots is a massive issue to production. Moreover, this downtime is not only a one-time thing. Since industries have to be at the top of their game to thrive, they need to evolve and adapt over time. New changes and upgrades are necessary. Maintenance and repair works are inevitable. And even the failure of robots is not a common thing. All this requires teaching pendants, which is again very slow and a tedious approach to programming robots. It will add more delays, difficulties, costs and consume more resources. And this is a massive bottleneck for production.
Instead of wasting time in this slow and cumbersome manual approach, using new and better solutions with automation at its core is the way to go.
Learn About Offline Robot Programming
Offline Robot Programming is an “offline” approach to robot programming. Offline Programming (OLP) is a software solution to manually robot teaching by replacing the teaching pendants with simulation software. This “offline” solution teaches the robots virtually through software remotely. Thus, OLP takes leading away from the manual approach and takes out the requirement to remove the robots from production.
Although Offline Robot Programming is not a new technology, its evolution in recent years puts it in the spotlight in robot programming and the whole paradigm of robotics. It’s because of the advantages and benefits of using offline robot programming. Offline robot programming replaces the teach pendants with a more elegant solution. Furthermore, OLP allows for industries to train robots and their programming/coding through software updates. Robotic Programming Platforms also offer different software solutions to generate these instructions.
It means there is no need for the actual physical robot to be present in any generation phase or testing the training program/code. Instead, all this happens within the simulation technology inside the robotic programming platform itself. The evolution of simulation technology is so far ahead that it can now accurately simulate almost any object or environment with all the characteristics and behaviors of the original real-world object or environment.
Simulation technologies today can simulate every robot’s functionalities, features, and operations. Various behavior, states, and phenomena of robots and their components can simulate without manually teaching robots. Simulations can accurately simulate the mechanical elements of different parts with different materials and their operation in different environments and conditions. Along with this, fluid dynamics for air and water is also possible to simulate. Collisions, movements, etc., are also potential. It is due to the ability of simulations to accurately simulate and imitate the real-life physics of materials and the environment.
In addition to this, simulations can also imitate electronic components and processes. For example, it can accurately simulate the processing of CPUs and progressing units or even network interfaces and data exchange. Along with this, simulations can even test technologies like Artificial Intelligence (AI) with Machine Learning (ML) and deep learning. All these possibilities allow simulations to simulate all behavior, state, and properties of a robot along with its features and functionalities effectively.
Robotic simulation software solutions are already available, and different industries and companies are already leveraging their benefits. These simulations make innovative technologies like OLP possible to exist and thrive, creating manually teaching robots irrelevant. With offline robot programming, companies need not go back to the old approach of using teaching pendants. Such an old approach is very time-consuming while also requiring enormous resources, workforce, and investment. In contrast, OLP provides companies with elegant future-proof solutions that are effective and efficient.
OLP successfully reduces downtimes from production due to its ability to upload programming instructions in robots that they are working on without taking them out of the output. They can also enable new roads to generation and testing robot programs far from the manual testing method and age of robot codes or instructions. Simulations make it very easy to try these codes, while AI automation enables self-diagnosis and real-time optimization of production lines.
OLP is often seen as a technology that is very complex and requires high skills to utilize. There is a huge misconception that only the sides with deep pockets can afford to use OLP solutions, and there won’t be any demand for manually teaching robots anymore. But that is not the case. OLP solutions are pleasing on paper and easy to integrate and adapt even in existing production. Companies like FS Studio are working hard to bring out innovative solutions and state-of-the-art R&D technologies, including robotic OLPs, to make this transition of using OLP solutions smoother. With decades of experience and collective knowledge of various skillful people, FS Studio brings out solutions like Robotic Simulation Services for multiple companies and industries.
With the increasing pace of the industry’s move towards Industry 4.0, every industry is eagerly shifting towards digital technology while replacing old technologies like Teach Pendants with newer, more elegant, and efficient solutions like Offline Robot Programming platforms. Offline robot programming opens the road to newer possibilities and opportunities, enabling rapid prototyping, testing, training, and superior research and development, saving you from manually teaching your robots. In addition, it will help companies bring out efficient production and help them maximize their efficiency with a proven feat of achieving higher Return of Investment (ROI) in production lines and product innovation. Furthermore, this will help industries and companies innovate and remain at the top of their game to surpass and outperform their competitors.
Robot programming software is a software solution that helps program or code a robot for its use or operation. Offline Robot Programming Software is also the same.
With the advancement of technology, Industry 4.0 is inching swiftly closer towards us faster than ever. Industry 4.0, also known as the Fourth Industrial Revolution, is the age of digitization where every industry has digital technology at its core. Consequently, digital technology is continuously evolving. Today, it almost seems inevitable for industries to adopt digital technology instead of relying on the traditional approach to industry, manufacturing, and product innovation.
Robotic technology is also continuously evolving, with robots today more capable than ever in various fields and fronts, even unseen in the last decade. Moreover, with the complexity and sophistication of the robots increasing, they are constantly getting more and more complex to program, code, and even develop.
However, with increasing complexity in technology, it is also getting more and more adaptable, usable, accessible, and easy to use. It’s because newer bleeding-edge technological solutions help keep these complex problems and technology operable and functional with great ease of use and access. One of the similar problems regarding the increasing complexity is currently running alongside the robotic industry.
The Robotics industry is far more complex, risky, and resource-hungry than most technological undertakings out there. Due to the growing industry use cases for robot and their ability to fulfill these use cases. The nature of robotic technology is that numerous parts and systems converge together to form a single system unit that can perform various tasks and operations using these parts and systems. Due to this nature, alongside the already complex building blocks of robots, i.e., the components and different systems, integrating these building blocks to work in an efficient cohesion with each other is a huge undertaking.
For easing the difficulty of integrating different parts and systems, many state-of-the-art industries and companies are starting to use robotic computer simulations. Simulations are a great innovation of digital technology that can help develop robotics through research, design, development, and production. Moreover, even after production, robotic software can now help robot operations, maintenance, and programming with different robot programming software solutions.
What is Offline Robot Programming Software?
Offline Robot Programming software is an “offline” approach to programming or coding a robot. This “offline” approach takes the usual method of programming a robot, i.e., teaching pendants away while doing the “teaching” part through the software remotely. However, this remote programming of the robot takes away the need of taking the physical robot out of production; instead can program and code robots virtually through software.
Teach pendants the most common interface to program an industrial robot. The device helps control an industrial robot remotely and teaches them to move or act in a certain way. For example, these devices can program or code the robots to follow a specific path or perform a certain action in a particular manner. These devices also allow the operator to control and work with these robots without being physically present or in tether connection with the robot. It means robot programmers or operators get to control the robots and “teach” them remotely. Technicians usually use these devices for testing or programming, or coding of industrial robots. Hence, teaching pendants are a crucial part of industrial robotics.
Offline Robot Programming Software replaces this teaching pendant with a more elegant and efficient solution with the power of software and simulation technology. Due to the control over robots with software since robotic OLP or Robotic Offline Programming allows for uploading programs and codes through software updates. Furthermore, software developers and robot operators can generate these programs and codes through robotic simulation software in a PC rather than using the robot physically. OLP is, therefore, a more elegant, efficient, and more modern way to program industrial robots.
Why is Offline Robot Programming Software Important?
Even though these pendants are helpful and crucial to industrial robotic operations, they remain one of the bottlenecks of industrial robotics. Right off the bat, these devices are very slow and time-consuming. It's also very resource-consuming and requires personal at all times to operate. Furthermore, pendants also require the presence of the actual robot. They need the robot to be physically active in the teaching mode rather than doing other work during the teaching process, which is usually very long.
Hence, during teaching, the robot cannot be in production or be doing other functional tasks teaching process is very lengthy and tediously for the more complex robots with various joints or movement points and axes. The robot programmer has to program multiple joints and parts to code the robot manually, which is very time-consuming. The programmer will also have to take out the production robot during and until the teaching process. It will surely hamper the production line, and hence downtimes become longer.
In any industrial setup, the production line is the most vital part of it. So much so that the whole manufacturing or production plant usually is based around it. Holding such importance, the optimization of production lines is a very crucial task in any industry. Downtimes, irregularities, or faults in the production lines and components around it means it directly hampers the sector. Moreover, machines like robots, especially the ones with automation, are very crucial in production lines. Hence, production lines must not stop nor deter it due to the robots.
However, with robotic OLP, industries can remove and eliminate all these disadvantages and bottlenecks from production. Instead of teaching these industrial robots online, offline programming eliminates the downtime for programming these robots completely. With this power in their hands, production lines can now completely get rid of time for programming. Instead, industries can use all these times in the actual production and get better returns.
With OLP, automation comes one step closer in production setups. Offline Robot Programming software enables rapid prototyping to test programs and codes before uploading them to the robots through simulation software. Furthermore, simulations are now very technologically smart such that they can simulate all robot parts, mechanics, systems, and movements. With such capability in hand, robot programming and even robot development and the building will become very easy. Due to this, testing, training, and evaluating robots virtually become very easy through OLP. Furthermore, it allows for error detection and verification of programs and robot capability to perform tasks and operations even before they are physically present.
Apart from this, Offline Robot Programming software also increases the productivity of production lines and robot operators and developers. Furthermore, OLP also provides greater profitability and has a better Return On Investment (ROI). Moreover, with OLP, one can test and prove new and better project or concept ideas in their quotation phase without investing in physical resources.
OLP allows for not only training and testing but also helps in maintenance and repairs too. OLP can help to track down potential faults and errors even before they occur or after they occur. It further makes the production efficiency and without any downtimes possibly in future too.
Not only is OLP advantageous and beneficial for regular industrial robots, but it's also essential and can be a boon for some industries that involve high risk. For example, industries like aviation, nuclear, automotive are very high-risk industries. Testing robots in these industries is a sensitive matter. Hence OLP is a requirement in these industries to train and test robots efficiently. Furthermore, without, OLP it is likely not even possible and feasible for industries like the space industry able to undertake projects and accomplish them.
Offline Robot Programming software is generally seen as a technology with high complexity and requiring very skillful personals. But that is not the case. Various companies like FS Studio provide solutions when it comes to offline robot programming. Companies like these can help industries get started with OLP and thrive on enabling substantial new possibilities and opportunities. With decades of experience and expertise in fields like Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), and Simulation technology, FS Studio, can provide companies with proper and efficient OLP solutions to propel their industries with more efficient, safe and effective production lines. With the advent of Industry 4.0 upon us, companies and industries now must look for better alternatives and modern approaches to the industry. Digitization of industries is the future where digital technology will be at the core of all industries with efficient and smart solutions. OLP with simulation technology enables rapid prototyping, testing, development, and superior research and development (R&D) along with faster and efficient programming or coding of industrial robots. Furthermore, industries can collaborate with different OLP providers to determine the best solution for their particular industry and production and help them integrate their existing robots and production for a more smooth transition towards Offline Robot Programming Software.
Computer Simulation of Human Robots Collaboration in the industries is closer than we think. The current industry is moving towards the Fourth Industrial Revolution (FIR). FIR or Industry 4.0 is the digital transformation of the existing industries to enable new ways of manufacturing & production with automation at its core. The digital world will effectively meet the real world at this stage, integrating them on a level never seen before. Human Robots collaboration is one of the significant parts of this integration. With transformative technologies like computer simulations, AR, VR, and digital twins, cooperation among humans and robots is an absolute path that the next generation of technology will take.
Computer simulation is a very crucial tool for industries like robotic research and engineering. With the increasing adoption of computer simulation in various industries, simulations are rapidly becoming a vital part of product innovation and R&D technology. It is especially true for the robotic industry since collaboration between humans and robots is an essential part of the human robot paradigm.
Where Does Computer Simulation Come into Play?
Some factors influence the possibility for robots and humans to work together and collaborate efficiently. One of the top priorities or factors that affect this collaboration is human safety. During the operation, development, or testing of this concept of computer simulation of human robots collaboration, human safety is a top priority and should never be compromised. For this, various safeguards or failsafe mechanisms, power limiting restrictions, tools to monitor for possible errors, and proper fallback plans can be helpful.
Alongside this, robots that are in use must be aware of their surroundings and environment. At the very least, the use case of the robot must reflect its awareness and capabilities. Furthermore, robots also must control and change their actions as per real-time feedback and happenings in their surroundings. Thus, it presents the robot research and development industry with another challenge of autonomy and the ability of robots to perceive their surroundings or environments efficiently.
Conversely, bidirectional communication among robots and humans may open the door to fulfilling all the requirements necessary for a safe and effective human robot collaboration. But achieving such a feat is also not possible without proper testing and massive investments of time, resources, and money.
Computer Simulations can solve all these problems and complexities with efficient and elegant solutions. Computer simulation technology provides a modeling system to visualize any complex system, even 3D digital space. For example, a robot consists of joints, motors, arms, actuators, sensors, links, controllers, and other mechanical and electronic components like a battery, processing unit, and networking interfaces. All these components and elements can be costly when they reach the level of sophistication a robot requires. Alongside this, integrating these components into a complete robotic system in which these components work together efficiently as a whole system is also a very complex and expensive task to accomplish. Nevertheless, this is where computer simulations come into play.
The advancement in computer simulation technology now allows for the simulation of all these components and elements in a fully functional robot. Alongside this, computer simulation software can also simulate various environments and conditions under which a robot may operate. Much like a natural environment, a simulation environment allows for multiple experiments, tests, and evaluation of a robot, except it, is without all the costs and risks present when testing the robot in the real world. Computer simulations also enable monitoring and assessing robots with a very high level of sophistication in virtually any environment or condition possible.
Why is Computer Simulation of Human Robots Collaboration Important?
The human robot collaboration is essential for the factories of the future and all the possibilities that follow. In a space where robots and humans can work together efficiently to complete different tasks, endless opportunities emerge. For example, robots allow us to perform precarious and dangerous jobs that require massive strength or skill, along with repetitive or requiring extra precision. Meanwhile, some jobs require human intervention due to either being too expensive or complex to automate and jobs that require critical thinking and human intelligence. Thus, it constructively allows industries to utilize the best of both worlds efficiently.
For instance, risky jobs like mining, exploration of unknown borders and areas, repetitive assignments, lifting heavy loads, etc., have more practical industry use cases for robot in the field, but they also require human intervention. Similarly, jobs that require extra precision, like in surgery, may be more suited for robots. Still, due to a lack of intelligence and critical thinking, it is currently unable to do so. Likewise, human intervention is essential in search and rescue operations, but it also requires scanning large and potentially unsafe environments that are more suited for robots or drones. Alongside this, all factories and manufacturing industries cannot generally use robots due to either being too expensive to automate the job or too complex for robots to perform. Hence, human resources are used in various factories and manufacturing sites, albeit the factory and manufacturing sites are dangerous and unsafe.
These difficulties are easily removable if computer simulation of human robots collaboration becomes very efficient and easy to realize. Moreover, if such cooperation becomes possible to achieve, one can reap potential benefits from both worlds. For instance, robot developers in health care organizations can utilize the precision of a robot and the critical thinking of a surgeon to develop a surgical robot to perform complex surgeries on patients.
Consequently, a collaboration between humans and robots that enables an open environment where humans and robots can work together to complete works with integration of benefits from both worlds is a very lucrative goal to achieve. Computer simulation opens the door to such a goal. Due to the numerous advantages computer simulations possess, various industries develop human robot collaboration systems.
Generally, robot development in computer simulation software starts with designing and prototyping the robot. It requires a massive amount of resources, cost, time, and multidisciplinary skills in the real world. Then, each prototype comes to its testing, assessment, and redesign of the system according to the evaluations and results. It also requires equally if not more massive amounts of resources, cost, time, and skills in the real world. For a complete robot consisting of all its features and functionalities and compliance with all the factors discussed above, this process of prototyping, redesign, and testing has to be repeated numerous times until the evaluation and results are entirely within acceptable terms.
However, with the help of computer simulations, all these processes become redundant. When robot development with computer simulations occurs, developers/manufacturers get a digital platform to perform rapid prototyping with testing, modeling, redesigning, and programming all within the simulation. With the help of the computer simulation, developers can design a robot with all the parts and components right from the start to get a robot model. This model can go through various experiments, evaluations, and assessments to ensure formal requirements compliance. If not, developers can make changes or even redesign the robot entirely without much effort since it's in a digital form.
Not only this enables rapid prototyping and development, it ensures that developers do not exhaust all their time worrying about resources or costs but utilize that time for better ideas and models. It also opens the door for creative minds to flourish and experiment with various designs and configurations of robots. Furthermore, since the initial design process starts with a digital model, developers can tweak, organize and play with different formats. Finally, it will ensure that the design phase outputs the team's accurate designs with an efficient and agile developmental process.
Moreover, testing and evaluation of robots in different environments is also possible with error reporting and monitoring systems working together to gather essential data. It ensures that all unexpected problems or errors that the developers may encounter during the physical build of the robot are taken care of and solved. Testing with trajectory planning, verifying algorithm operation and efficiency, verifying the integrity of the design, and overall working of the robot can all be done in simulations. Testing various fluid mechanisms, aerodynamics, mechanical integrity, and kinetic forces with realistic physics engines is also possible.
One of the most vital computer simulation of human robots collaboration is human safety. Simulations enable testing for human safety and protection in numerous conditions and environments. We can quickly test and examine communications, control, and safety mechanics inside computer simulations without ever having to put a human at risk. With technologies like Augmented Reality (AR), Virtual Reality (VR), and intelligent AI systems, humans can test these robots with immersive experiences in realistic environments without taking risks.
It will rapidly evolve the development of human robot collaboration with the power of rapid prototyping, innovative product development systems, and efficient R&D technology. Furthermore, with Industry 4.0 gradually moving from embedded systems towards the digital transformation of the industries, simulations can open the door to new ways of development and enhance the much sought-perfect cyber-physical system (CPS).
With the advent of computer simulations, robot development and research is moving away from machines with no or low-level intelligence towards a more autonomous, adaptable, flexible, and re-configurable system that can work efficiently with humans. With computer simulations, human collaboration with intelligent robots will be possible across various industries where the whole collaborative system will be efficient, sustainable, effective, and safe. And our approach of creating the computer simulation of human robots collaboration will be completed.
Challenges of creating digital twins are increasing exponentially, especially with the advancement of technologies like simulation, modeling, and data analysis, digital twins of objects and environments are increasingly becoming more accessible and adaptable across various industries. Furthermore, with the integration of Artificial Intelligence with Machine Learning & Deep Learning, digital twins will transform industries across different spectrums, including the manufacturing industry.
The Fourth Industrial Revolution, or FIR or Industry 4.0 in short, is the automation of traditional manufacturing, production & other related industries with the digital transformation of traditional practices through modern technologies. Thus, industry 4.0 will be the age of digital technologies. Machine to Machine communication (M2M) and the Internet of Things (IoT) will work together to enable automation, self-monitoring, real-time optimization, and the production industry’s revolution.
Digital twins will be at the forefront of Industry 4.0. With its power of rapid designing & development, iteration & optimization in almost every engineering process & practice, digital twins will enable new opportunities and possibilities. In addition, digital twins will transform various manufacturing & production processes, drastically reduce time & costs, optimize maintenance and reduce downtime.
While digital twin technology is not entirely new, its growth and adoption are skyrocketing across various industries in recent years, while the challenges of creating digital twins are also rising. As a result, the valuation of the global digital twin market was sitting at 5.4 billion US Dollars in 2020. Furthermore, although its market was experiencing a slump in 2020 due to the COVID-19 pandemic, it will undoubtedly recover and experience exponential growth again. Consequently, researchers expect that the global digital twin market will reach 63 billion US Dollars by 2027 while rising at the growth rate of 42.7% annually.
Over the last decade, the evolution of the manufacturing and production industry has been mainly focusing on reducing costs, increasing quality, becoming flexible, and reaching customer needs across the supply chain. The manufacturing industry is adopting different modern technologies to achieve these goals. Millennium digital technologies have also been part of this technology stack due to the innovation and opportunities it brings to the table.
Different companies and organizations are using twin tech accordingly in different scales and nature. Due to this, the technology in use varies across the industry, such that some industries use the latest bleeding-edge systems while others use legacy and proven techniques. Companies generally use the latest tech when it becomes available to use the latest features and functionalities. On the other hand, proven legacy systems are in use due to their stability and ease of use.
Likewise, different uses of twinning sims in various industries possess other challenges. Apart from this, integration technologies like the Internet of Things (IoT), cloud, big data, and different approaches to digital twin integration will only increase the challenges for digital twins in terms of the sheer complexity of implementation. However, this also presents an enormous opportunity for industries to adopt and align these technologies to suit different needs to solve these complexities and challenges. Subsequently, companies like FS Studio solve the challenges of creating digital twins, providing a platform for the manufacturers or companies to work on without dealing with complexities.
Generally, the goal of any twin manufacturing is to create a twin or model of a real-world object in digital form. Furthermore, the aim is to make indistinguishable virtual digital twins from the actual physical object. Therefore, from the perspective of a manufacturer or a product development company, a digital twin technology will create an actual physical product experience in digital form. Hence, a digital twin for a product, object, or environment will consistently provide information and expertise throughout the whole product cycle.
A virtual twin can also serve companies for feedback collection alignment, useful for the product or the design team. Results from various tests may provide results that can be useful too. The design/engineering/manufacturing team can compile this information, feedback, and results for multiple purposes from the digital twin model. Furthermore, this compilation can also provide additional insights into the product, which can be very useful to tweak, change or even redesign the product entirely. This digital approach will consume much fewer resources, effort, and costs than the traditional physical approach. Moreover, these changes will also be reflected on the twin's systems instantly as the teams make these changes. This will ultimately allow crews to perform true real-time optimization of a product or a manufacturing process.
It will drastically improve the efficiency of designing and developing a product or a process. In addition, digital twins also enable higher flexibility across the overall design and development process. Furthermore, this flexibility comes at a lower cost and additional agility in manufacturing or product development. Hence, digital twin technology becomes very appealing for manufacturers and product developers due to these advantages and benefits.
One of the main challenges of creating digital twins remains to be the convergence of existing data, processes, and products in the digital form to be easily accessible and usable for the current or future teams in involvement. Moreover, such convergence may also change a company’s complete organizational structure from their R&D technology and product innovation to sales and promotion. Furthermore, incorporating technologies like IoT, the actual development of 2D or 3D models & simulations, and data analysis for consistent process, quality & authentic experience of the product remains a very complex process.
Apart from this, the actual use of digital twins created is also another challenge. The infrastructure and platform needed to use such digital twins are also essential, albeit complex, things to build. For example, suppose a team can create a car’s digital twin for a car manufacturer company. But problems with digital twins are that there is no actual use of the digital twin except for visualizing the vehicle. Even for proper visualization of the car across teams, different platforms and tools are necessary to often serve niche use cases of the company.
For instance, a car company needs a motor, brake, acceleration, air dynamics, and other niche simulations for the digital twin of their car. The technology stack should be able to perform various maneuvers a vehicle performs on the road. Aerodynamics and gravity simulation is a massive deal for car manufacturers. Integrating these simulations is also a monumental task.
Along with this, for the actual process of testing and developing products, the platform has to simulate various objects, environments, and conditions necessary for such functions. Alongside this, the platform should also be able to report errors & statistical data on simulations running while constantly monitoring and diagnosing the product during its testing or development. Collaboration between team members on the platform is also necessary for a large-scale company. Integration of Artificial Intelligence and technologies like Machine Learning and Deep Learning is also a very challenging task to accomplish.
Digital twin technology is also often associating itself with complementary technologies like Virtual Reality (VR) and Augmented Reality (AR). The use of VR and AR in a digital twin platform will upgrade the realism and accuracy of the product experience. With realistic simulations and modeling in VR and AR’s capability to enhance a product experience, the 4.0 industry will incorporate these technologies at the forefront with digital twin technology, increasing the challenges of creating digital twins. Alongside this, integrating the digital twin with the actual physical manufacturing process is also a huge challenge.
Although companies will have to adopt this new industrial revolution 4.0 with digital twin-driven smart manufacturing, the overall process will not be that complex. The hard part is the convergence of different technologies to enable a platform for generating this digital twin and integrating it with the actual physical process in product development or manufacturing. However, since the digital twin simulation accurately represents the actual physical product, the product/manufacturing team will have almost no difficulty incorporating this digital twin tech in their physical process.
Therefore, companies like FS Studio help product developers and manufacturers to focus only on product development and design rather than the process of adoption of the digital twin. While different industries are transitioning towards Industry 4.0 technologies, various platforms and solutions establish themselves as leaders in cutting-edge technologies like the digital twin model with AR VR to eliminate the complexities present while the transition happens. It will help the companies and organizations focus on their primary and core goals instead of shifting their resources and concentrate on their growth to the next industrial revolution.
Realization of challenges for the convergence of technologies like IoT, design, and generation of 2D or 3D models & simulation and analysis of existing data remains. With this, the incorporation of Artificial Intelligence, Machine Learning, and data analysis also pose challenges regarding automation, self-monitoring, and real-time optimization. Subsequently, corporations and manufacturers moving towards Industry 4.0 must place digital twin technology at its core.
It will help companies and organizations transition smoothly towards the industry 4.0 revolution, which incorporates product development and digital transformation. With the power of rapid design and development, new production and R&D innovation will take over the industry, reducing the challenges of creating digital twins in the transition to industry 4.0. Subsequently, with digital twin technology, industries across the spectrum will be growing exponentially in their move towards the next industrial revolution.