Welcome message
We cordially welcome back each and every one of you from the bottom of the heart to participate in the 3rd International Conference on Robotics and Artificial Intelligence which is scheduled to be held on Feb 26-27, 2021 in Vienna, Austria which witnesses the presentations that include forefront technologies.
This year with the innovative theme “Extending the Frontiers of Knowledge in Technology", which aims to offer new ideas, convictions, strategies and tactics in the field of Robotics and AI. The main objective of the conference is to focus on the unification of science and Technology which mainly focuses on Advanced Robotics, Advanced Artificial Intelligence, Innovative technology.
Our conference offers brand new ideas, convictions that directly affect the way that business is being done. This is a striking event for delegates around the world to interact with each other. Knowledge enthusiastic participants can confirm their presence by joining the conference together with their peers.
Vienna is comprised of a unique ensemble of traditional heritage and modernity. Magnificent imperial buildings, art nouveau buildings as well as a long-lasting tradition of musical arts meet modern architecture, art, and festivals.
We hope you join us and take little time to enjoy the unique charm of the region.
Sessions
The idea of creating machines which can operate autonomously dates back to olden times, but the proper research into the implementation and potential uses of robots did not grow properly until the 20th century. Throughout history, it has been frequently assumed that on one day robots will be able to imitate human behaviour and manage tasks in a human-like fashion. Today, robotics is one of the rapidly growing fields domestically, commercially, or militarily. Numerous robots are built to do jobs that are dangerous for mankind such as defusing bombs, finding survivors in unstable ruins, and exploring mines and shipwrecks
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SAS Global Forum April 8-11, Denver, CO, USA | 2006 - Haptics Symposium, Arlington, Virginia, USA, March 25-26 | 2005 - World Haptics, Pisa, Italy March 18-20 | 2004 - Haptics Symposium, Chicago, Illinois US | 1993 - Haptics Symposium, New Orleans, Louisiana, USA | 1992 - World Haptics, Anaheim, California, USA | Global summit on Nanotechnology and Nanorobotics, November 8-9, 2017 New Orleans, Louisiana, USA | 2013 - World Haptics, Daejeon, South Korea April 14-18, 2013 | 2016 5th International Mechatronics and Control Engineering (ICMCE) Venice, Italy
Artificial intelligence is the imitation of human intelligence organized by machines, especially computer systems. These processes include the acquisition of information and rules for using the information as well as using the rules to reach approximate or definite conclusions and self-correction. specific applications of AI include expert systems, speech recognition and machine vision. Some homo sapiens also consider AI to be a threat to humanity if it progresses further. Others believe that AI, unlike previous technological revolutions, will create a risk of mass unemployment. Nowadays usage of AI techniques has become an essential part of the technology industry, helping to solve numerous advanced problems in computer science.
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(ICMCE) Venice, Italy | 2016 13th International Symposium on Distributed Autonomous Robotic Systems (DARS), London, England | 2013 World Haptics Daejeon, South Korea, April 14-18 | 2012 Haptics Symposium Vancouver, Canada March 20-22 | Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA | Machine Intelligence Summit, April 12-13, Hong Kong, Deep Learning Summit, April 12-13, Hong Kong
Related Societies and Associations:
Japan Robot Association | Swedish Robotics Society | International Federation of Robotics | Robot Research Initiative | Livingston Robotics Club | Robotic Industries Association | Robot Research Initiative
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Machine Learning (ML) include topics about developing systems that enhance their performance with experience. In the last decade progress, AI can easily be attributed to the advances in ML. ML is very popular that it has become synonymous with Artificial Intelligence. The researchers have been focusing on scaling the state-of-the-art ML algorithms to large datasets.
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Global summit on Nanotechnology and Nanorobotics, November 8-9, 2017 New Orleans, Louisiana, USA | 2013 World Haptics, Daejeon, South Korea April 14-18 | 2016 5th International Mechatronics and Control Engineering (ICMCE) Venice, Italy | 2016 13th International Symposium on Distributed Autonomous Robotic Systems (DARS), London, England | SAS Global Forum April 8-11, Denver, CO, USA
Related Societies and Associations:
Japan Robot Association | Bristol Robotics Laboratory | International Federation of Robotics | Robot Research Initiative | Robotic Industries Association | Robot Research Initiative
Session on: Internet of Things
Internet of Things (IoT) is a concept that uses physical devices which are connected to the internet and can communicate with each other via exchange of data. The collected data could be processed intelligently to make the devices smarter.
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Session on: Nuclear Robotics
Nuclear Robotics is an interdisciplinary wing that develops and deploys very advanced robots in hazardous environments to reduce the risk for mankind. Researchers complete a rigorous interdisciplinary curriculum to understand the requirements for deploying systems in the nuclear or other relevant domain. The UK has 4.9 million tonnes of legacy nuclear waste. Cleaning this up is the largest and most complex environmental remediation task in Europe. Much of this work must be carried out by robots because the materials are too hazardous for humans. However, the robotic solutions required just do not yet exist. The NCNR will be at the leading position for enhancing these technologies. Its researchers will lead the way in world-leading robotics and AI, and training the next generation of nuclear roboticists.
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Session on: Human-Robot Interaction
Human-robot interaction is the study of interactions between humans and robots. It is often referred to as HRI by researchers. Human-robot interaction is a multidisciplinary field with contributions from human-computer interaction, artificial intelligence, robotics, natural language understanding, design, and social sciences. Human-Robot Interaction (HRI) is an advanced stream that has been grabbing a lot of attention over the past few years due to the increase in availability of complex robots and people's exposure to such robots in their daily lives, e.g. as robotic toys or, to some extent, as household appliances (robotic vacuum cleaners or lawn movers). Nowadays robots have been used vastly for real-world applications such as robots in rehabilitation, eldercare, robot-assisted therapy and in educational applications. Due to the advancement in AI, the research is concentrating not only towards the safest physical interaction but also on a socially correct interaction, dependent on cultural criteria. The aim is to create an intuitive, and easy communication with the robot through speech, gestures, and facial expressions.
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2016 5th International Mechatronics and Control Engineering, Venice, Italy | 2016 13th International Symposium on Distributed Autonomous Robotic Systems, London, England | 2013 World Haptics Daejeon, South Korea, April 14-18 | 2012 Haptics Symposium Vancouver, Canada March 20-22 | Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA | Machine Intelligence Summit, April 12-13, Hong Kong | Deep Learning Summit, April 12-13, Hong Kong
Related Societies and Associations:
Swedish Robotics Society | International Federation of Robotics | Japan Robot Association | Bristol Robotics Laboratory | Robotic Industries Association | Robot Research Initiative
Session on: Micro and Nano Robots
Nanorobotics is an upcoming advanced technology which enables to create robots at or near the scale of a nanometre. More specifically, nanorobotics refers to the nanotechnology engineering stream of designing and creating nanorobots, with devices ranging in size from 0.1–10 micrometres and constructed of nanoscale or molecular components. Nanobot, nanoid, nanite, nanomachine, or nanometer are some of the terms that can be used to describe such devices which are currently under the research and development. Another definition of nanorobot is a robot that allows precise interactions with nanoscale objects or can manipulate with nanoscale resolution. Such devices are more related to microscopy or scanning probe microscopy, instead of the description of nanorobots as a molecular machine. Equipment such as an atomic force microscope can be understood as a nanorobot when made to perform nanomanipulation. For this viewpoint, macroscale robots are microrobots that can move with nanoscale precision.
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Session on: Neuromorphic Learning
With the rise of Deep Learning concepts that rely on neurons based models, researchers have been developing hardware chips which can directly implement neural network architecture. These chips are programmed to mimic the brain at the hardware level. Usually, in an ordinary chip, the data is required to be transferred between the central processing unit and storage blocks, which results in time overheads and energy consumption. In a neuromorphic chip, data is both compiled and stored in the chip in an analogue manner and can generate synapses when required, saving time and energy.
Session on: Computer Vision
Basically, Robotic Vision involves a combination of camera hardware and computer algorithms to enable robots to sense and process visual data regarding the world. For instance, some systems have a 2D camera which detects an object for the robot to pick up. An example involving complexity is to use a 3D stereo camera to make a robot function to mount wheels onto a moving vehicle. Without Robotic Vision, a robot is essentially blind. This is not a problem for many robotic tasks, but for some applications, Robot Vision is useful or even essential. Robot Vision is also related to Machine Vision. The terms robot vision, as well as Machine vision, are closely related to Computer Vision. If we were talking about a family tree, Computer Vision could be seen as their "parent."This is one of the fascinating field of visual intelligence as well as machine learning. Visual intelligence enables a robot to “sense” and “recognize” the environment. It also enables a robot to “learn” from the memory of past experiences by extracting patterns in visual signals.
Related Conferences: Robotics Conferences | Mechatronics Congress | Artificial Intelligence Conferences | Engineering Conferences | Deep Learning conferences | Industrial Engineering Meetings | Robotics and Automation Conferences
2016 13th International Symposium on Distributed Autonomous Robotic Systems (DARS), London, England | 2016 5th International Mechatronics and Control Engineering, Venice, Italy | 2012 - Haptics Symposium Vancouver, Canada March 20-22 | Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA | Machine Intelligence Summit, April 12-13, Hong Kong | Deep Learning Summit, April 12-13, Hong Kong.
Session on: Robotic Rehabilitation Systems
Rehabilitation robotics is considered as a specific focus of biomedical engineering. In this field, clinicians, therapists, and engineers collaborate to help rehabilitate patients. Prominent goals in the field include developing implementable technologies that can be easily used by patients, therapists, and clinicians enhancing the efficiency of clinician's therapies and thereby enlarging the ease of activities in the daily lives of patients. From the past decade, the number of rehabilitation robots has increased but they are very limited due to the clinical trials. Many clinics have trials but did not accept the robots because they wish they were remotely controlled. Making Robots involved in the rehabilitation of a patient has some advantages. One of the positive aspects is the fact that you can repeat the process as many times as you desired. Another positive aspect is the fact that you can get accurate measurements of their improvement or decline. You can get the exact measurements via sensors on the device. While the robot is about to take measurements, one needs to be careful because the robot may be disrupted. The rehabilitation robot can be able to apply constant therapy for long periods. The rehabilitation robot is a useful machine to use according to many therapists, scientists, and patients who have undergone the therapy. In the process of a recovery, he is unable to understand the patient’s needs like a well-experienced therapist would. The robot is unable to understand now but in the future, the device will be able to understand. Another advantage of having a rehabilitation robot is that there will be no physical effort to put into work by the therapist.
Related Conferences: Robotics Conferences | Mechatronics Congress | Artificial Intelligence Conferences | Engineering Conferences | Deep Learning conferences | Industrial Engineering Meetings | Robotics and Automation Conferences
2016 13th International Symposium on Distributed Autonomous Robotic Systems (DARS), London, England | 2013 -World Haptics, Daejeon, South Korea April 14-18, 2013 | 2012 Haptics Symposium Vancouver, Canada March 20-22 | Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA | Machine Intelligence Summit, April 12-13, Hong Kong | Robotics 2018 | 4th International Conference and Expo on Automobile Engineering and Design, May 16-17, 2018 Tokyo, Japan | Global summit on Nanotechnology and Nano Robotics, November 8-9, 2017 New Orleans, Louisiana, USA | 5th International conference on Automation and Robotics, April 16-17, 2018 Las Vegas, USA | 5th International conference on Artificial Intelligence, April 16-17, 2018 Las Vegas, USA | 4th Global Summit and Expo on Multimedia & Artificial Intelligence, July 19-21, 2018 Rome, Italy | SAS Global Forum April 8-11, Denver, CO, USA | Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA | Machine Intelligence Summit, April 12-13, Hong Kong | Deep Learning Summit, April 12-13, Hong Kong | SAS Global Forum April 8-11, Denver, CO, USA | 2006 Haptics Symposium, Arlington, Virginia, USA, March 25-26 | 2005 World Haptics, Pisa, Italy, March 18-20 | 2004 Haptics Symposium, Chicago, Illinois US
Autonomous robots have the skill to grasp required information regarding their environments and work for a certain period of time without human involvement. There are many examples of these robots that range from autonomous choppers to vacuum cleaners. These self-dependent robots can involve themselves throughout the task assigned without any human intervention and are capable to avoid situations which are harmful to themselves or people and property. Autonomous robots can easily adapt to changing surroundings. Autonomous robots can be used even in busy environments, like a hospital. Instead of employees leaving their posts, an autonomous robot can be able to deliver lab results and patient samples expeditiously and accurately. Without established guidance, these robots can be used to navigate the hospital hallways, and can even find alternate routes when a way gets blocked. They can be made to stop at some pick-up points and collect samples to bring to the lab. Autonomous robots get the tasks to be carried out with a better degree of accuracy, which is specifically wanted in some fields such as spaceflight, household maintenance, wastewater treatment and delivering goods.
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Session on: Cloud Robotics
Cloud robotics is a branch of robotics that deals with advanced cloud technologies. cloud computing, cloud storage, and other Internet technologies centred on the benefits of converged infrastructure and shared services for robotics can be known via cloud robotics. When robots are made to connect with the cloud, they can be benefited due to the powerful computation, storage, and communication resources of a modern data centre in the cloud, that can process and share information from various robots or agent. Humans can also delegate tasks to robots remotely through networks. These Cloud computing technologies enable robot systems to be provided with powerful capability while reducing costs through cloud technologies. Hence, it is possible to create a lightweight, low cost, smarter robots that have intelligent "brain" in the cloud. The brain in the cloud plays a vital role and responsibility for deep learning, information processing, environment models, communication support etc. Although robots are benefited from numerous advantages of cloud computing, the cloud itself is not the troubleshooter to all of the robotics. Controlling a robot’s movements which depends majorly on (real-time) sensors and feedback of the controller may not benefit much from the cloud. Tasks that involve real-time execution require onboard processing. Cloud-based applications may also get delayed or unavailable due to high-latency responses or network hitch. If a robot relies too much on the cloud, a fault in the network could leave it “brainless.”
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Cognitive robotics is one of the vital wing among robotics that deals with robots which can learn from experiences and also from human beings, and even on their own, thereby cultivating the skill to effectively deal with our environment. On one side conventional cognitive programming approaches have been assuming symbolic coding schemes as a way for representing the environment, rendering this environment into these kinds of symbolic representations has assumed to be a trouble if not undefendable. Perception and action and the notion of symbolic representation are therefore core issues to be addressed in cognitive robotics.
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Artificial neural networks (ANNs) are computing systems motivated by the biological neural networks that compose animal brains. An ANN is based on the assembly of linked units or nodes called artificial neurons. The artificial neuron that encounters the signal can process it and then notify artificial neurons connected to it. It has the ability to deal with incomplete information. Neural networks can be classified based on some attributes known as Connection type, Topology and Learning methods.
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Robotics 2018 | 4th International Conference and Expo on Automobile Engineering and Design, May 16-17, 2018 Tokyo, Japan | Global summit on Nanotechnology and Nanorobotics, November 8-9, 2017 New Orleans, Louisiana, USA | 5th International Conference on Automation and Robotics, April 16-17, 2018 Las Vegas, USA | 5th International Conference on Artificial Intelligence, April 16-17, 2018 Las Vegas, USA | 4th Global Summit and Expo on Multimedia & Artificial Intelligence, July 19-21, 2018 Rome, Italy | SAS Global Forum April 8-11, Denver, CO, USA | Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA | Machine Intelligence Summit, April 12-13, Hong Kong, Deep Learning Summit, April 12-13, Hong Kong.
Related Societies and Associations:
Bristol Robotics Laboratory | British Automation and Robotic Association | Australian Centre for Field Robotics | Intelligent Robotics Group | International Federation of Robotics | Robotic Industries Association | Robot Research Initiative
Session on: Research on Robotics
The field of robotics is undergoing a revolutionary change, which will impact all aspects of our society. These advances, driven by highly collaborative and interdisciplinary research, will allow robots to perform tasks not suited for humans, to work safely in close proximity and in collaboration with humans, and to operate safely and effectively in natural human environments. Robotics is a new domain of engineering. Robots have been classified depending upon the circuits. These are classified into three types:
Intermediate level Robots – These are the robots that have been programmed but can never be programmed again. These robots contain sensor based circuit and can perform multiple tasks.
Complex level Robots - These robots are initially programmed to execute a specific task and can be reprogrammed if needed. They contain complex model based circuits.
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Global summit on Nanotechnology and Nano robotics, November 8-9, 2017 New Orleans, Louisiana, USA | 2013 World Haptics, Daejeon, South Korea April 14-18, 2013 | 2016 5th International Mechatronics and Control Engineering (ICMCE) Venice, Italy | 2016 13th International Symposium on Distributed Autonomous Robotic Systems (DARS), London, England | SAS Global Forum April 8-11, Denver, CO, USA | 2016, 5th International Mechatronics and Control Engineering (ICMCE) Venice, Italy | 2016 13th International Symposium on Distributed Autonomous Robotic Systems (DARS), London, England | 2013 - World Haptics, Daejeon, South Korea, April 14-18 | 2012 - Haptics Symposium Vancouver, Canada March 20-22 | Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA | Machine Intelligence Summit, April 12-13, Hong Kong | Deep Learning Summit, April 12-13, Hong Kong | Robotics 2018 | 4th International Conference and Expo on Automobile Engineering and Design, May 16-17, 2018 Tokyo, Japan | Global summit on Nanotechnology and Nano robotics, November 8-9, 2017 New Orleans, Louisiana, USA | 5th International conference on Automation and Robotics, April 16-17, 2018 Las Vegas, USA | 5th International conference on Artificial Intelligence, April 16-17, 2018 Las Vegas, USA | 4th Global Summit and Expo on Multimedia & Artificial Intelligence, July 19-21, 2018 Rome, Italy | SAS Global Forum April 8-11, Denver, CO, USA | Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA | Machine Intelligence Summit, April 12-13, Hong Kong, Deep Learning Summit, April 12-13, Hong Kong
Currently, robots perform a number of different jobs in numerous fields and the amount of tasks delegated to robots is increasing progressively. The best way to split robots into types is a partition by their application.
2. Domestic or household robots
7. Space robots
8. Hobby and competition robots
Now, as we can observe that there are a number of examples that fit well into one or more of these types. For illustration, there can be a deep ocean discovery robot that can collect a number of precious information that can be employed for military or armed forces. Robots were made by humans just for the sake of entertainment but by now they are being used for assisting humans in various sectors. Human beings are better suitable for multifaceted, imaginative, adaptive jobs, and robots are good for dreary, recurring tasks, permitting human beings to do the harder thinking jobs, whereas a robot is now used for replacing humans for various recurring tasks or entertainment to make living more expedient.
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Global summit on Nanotechnology and Nano robotics, November 8-9, 2017 New Orleans, Louisiana, USA | 2013 - World Haptics, Daejeon, South Korea April 14-18, 2013 | 2016 5th International Mechatronics and Control Engineering (ICMCE) Venice, Italy | 2016 13th International Symposium on Distributed Autonomous Robotic Systems (DARS), London, England | SAS Global Forum April 8-11, Denver, CO, USA | 2016 5th International Mechatronics and Control Engineering (ICMCE) Venice, Italy | 2016 13th International Symposium on Distributed Autonomous Robotic Systems (DARS), London, England | 2013 - World Haptics, Daejeon, South Korea April 14-18 | 2012 - Haptics Symposium Vancouver, Canada March 20-22 | Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA | Machine Intelligence Summit, April 12-13, Hong Kong, Deep Learning Summit, April 12-13, Hong Kong | Robotics 2018 | 4th International Conference and Expo on Automobile Engineering and Design, May 16-17, 2018 Tokyo, Japan | Global summit on Nanotechnology and Nano robotics, November 8-9, 2017 New Orleans, Louisiana, USA | 5th International conference on Automation and Robotics, April 16-17, 2018, Las Vegas, USA | 5th International conference on Artificial Intelligence, April 16-17, 2018 Las Vegas, USA | 4th Global Summit and Expo on Multimedia & Artificial Intelligence, July 19-21, 2018 Rome, Italy | SAS Global Forum April 8-11, Denver, CO, USA | Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA | Machine Intelligence Summit, April 12-13, Hong Kong | Deep Learning Summit, April 12-13, Hong Kong
Related Societies and Associations:
Australian Centre for Field Robotics | Intelligent Robotics Group | International Federation of Robotics | Livingston Robotics Club | Robotic Industries Association | Robot Research Initiative
A robot must not injure a human being or, through inaction, allow a homosapiens to harm. A robot must obey orders given it by human beings except where such orders would conflict with the First Law. A robot must be programmed in a way such that it also must protect its own existence, as long as such protection does not conflict with the First or Second Law as mentioned. Robot ethics, also known by the expression "roboethics", deals with ethical problems such as whether robots pose a danger to humans in the long or short run, whether some uses of robots are problematic and how robots should be programmed such as they act ethically. Roboethics deals with the ethics of technology, specifically information technology, and it has close links to legal as well as socio-economic concerns. Researchers from diverse areas are beginning to tackle ethical questions about creating robotic technology and implementing it in societies, in a way that will still ensure the safety of the human race.
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2016 13th International Symposium on Distributed Autonomous Robotic Systems (DARS), London, England | 2013 World Haptics, Daejeon, South Korea, April 14-18 | 2012 Haptics Symposium Vancouver, Canada March 20-22 | Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA | Machine Intelligence Summit, April 12-13, Hong Kong, Deep Learning Summit, April 12-13, Hong Kong | Robotics 2018 | 4th International Conference and Expo on Automobile Engineering and Design, May 16-17, 2018 Tokyo, Japan | Global summit on Nanotechnology and Nano robotics, November 8-9, 2017 New Orleans, Louisiana, USA | 5th International conference on Automation and Robotics, April 16-17, 2018 Las Vegas, USA | 5th International conference on Artificial Intelligence, April 16-17, 2018 Las Vegas, USA | 4th Global Summit and Expo on Multimedia & Artificial Intelligence, July 19-21, 2018 Rome, Italy | SAS Global Forum April 8-11, Denver, CO, USA | Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA | Machine Intelligence Summit, April 12-13, Hong Kong | Deep Learning Summit, April 12-13, Hong Kong | SAS Global Forum April 8-11, Denver, CO, USA | 2006 - Haptics Symposium, Arlington, Virginia, USA, March 25-26 | 2005 - World Haptics, Pisa, Italy, March 18-20 | 2004 Haptics Symposium, Chicago, Illinois US
Market Analysis
The universal industrial robotics market size was evaluated at USD 31.45 billion in 2016. It is predicted to witness a CAGR of approximately 7.0% over the forecast period. Emerging emphasis upon the improvement of productivity of high volume production lines, particularly in the manufacturing of vehicles and electronic devices, is one of the trends accelerating market growth.
The influx of robots with integrated vision and touch, which improve the efficiency and speed of delivery systems, is estimated to raise the growth of the market. Unlike their predecessors, new generation robots include human-like features such as intelligence, flexibility, memory, learning ability and objects recognition. With the implementation of robotic technologies, industries are able to avail numerous financial benefits such as a reduction in overhead costs, an increase in productivity, reduction in waste, and flexibility. Recent advancements in artificial intelligence such as Machine learning, deep learning and development of conscious robots are projected to drive the market over the forecast period.
In countries such as China, Korea and Taiwan, supportive government policies through programs involving R&D subsidies, investment in skills, tax incentives and loans are poised to work in favour of the overall market. The European Union (EU) invested USD 872 million on the SPARC robotics project, which is predicted to create over 240,000 jobs in Europe by 2020.
Some of the key countries contributing to the industrial robotics market are Germany, South Korea, Japan, China and the U.S. The Asian Pacific region dominated the market with a revenue share of over 52.0% in 2016 and is predicted to continue its dominance throughout the forecast period. The region also has the maximum number of units that had been shipped in 2016, which stood at approximately 151 thousand units. It is anticipated to register a substantial CAGR over the forecast period.
Major industrial robot manufacturing hubs in the Asia Pacific include China, Japan, Korea, and Taiwan. Japan and South Korea are already at the forefront of the regional market in terms of the implementation of industrial robots. The overall rapid growth of the market in these countries can be attributed to the booming electronics industry. Key players dominating the market include companies like YRG, ABB, Toshiba Machine, Panasonic Corporation, Omron Adept Technologies, Fanuc Robotics, DENSO Corporation, Mitsubishi Electric Corporation, EPSON Electronics. Market players often in need of high funding and investments to enhance products and consolidate their position in the arena, which leads to high entry as well as exit barriers.
The general strategic behaviour of major players in the market is to seek new innovative segments such as lightweight robotics and think out of conventional heavy industrial robots while maintaining a foot in that segment. Generally, custom robots, which are programmed to a specific work environment, are preferred to standard robots in the manufacturing sector. China has already been the powerhouse for industrial robotics with 60% of the total revenue share, however, the Chinese government has some more plans in place that put it on a path to lead the market for non-industrial robots by 2025. Analytics show that China will be the leading market for consumer robots, enterprise robots, and autonomous vehicles by 2025. This vogue is in line with China’s aim of becoming the leading player in AI, for which it is going to establish a foundation that includes home-grown AI semiconductor companies, robust software and hardware platforms that can grasp AI in a range of commercial hardware products and in a scalable ecosystem of large and small companies that feed into the cycle of innovation. Apart from the rise of China, there are also a number of other significant trends that are likely to reshape the robotics market, with 16 of the 23 robot categories expected to be multi-billion-dollar markets by 2025.
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