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A new national robotics research center will receive a share of 25 million pounds (33 million U.S. dollars) to improve collaboration technology and help companies unlock the full potential of automated industrial manufacturing. The Smarter Innovation Research Center for Smart Collaborative Industrial Robots, led by Loughborough University in the UK, aims to promote smart manufacturing by removing obstacles and accelerating the widespread use of smart collaborative robot technology, so as to unleash the full potential of the industry in terms of productivity, quality and adaptability.
The research center will create a multidisciplinary, cross-departmental center, set the national research agenda for intelligent collaborative industrial robots, and provide the next generation of automated factories. It will focus on basic research to cultivate new breakthrough technologies needed to make automation more responsive, collaborative, and safe, as well as feasibility demonstration projects initiated by the industry to raise awareness of emerging automation capabilities.
Dr. Lohse added: "I am very pleased that our center has received support from nearly 50 countries and international organizations, including small and medium-sized enterprises, large end users, technology providers, system integrators, and research institutions. Even before the official launch of the center , More companies hope to join."
Professor Rossiter, team leader at the University of Bristol, emphasized the key requirement for seamless robot integration: “Future manufacturing will enhance human workers through robotics, from autonomous intelligent operations to soft robotic power sets.”
Cranfield University’s principal researcher, Professor Webb, commented: “We are very excited about this new collaboration, which will further strengthen our existing human-robot close cooperation and put human operators in the middle of this type of system. Center, thereby significantly increasing the number of industrial robots in the workplace of the future. Understanding the impact of robotics and collaboration on human operators is the key to building a safe workplace in the future."
Professor Yan, the lead researcher of the University of Strathclyde, said: “The collaborative work between human operators, robots, and other manufacturing machinery presents many research challenges. This distributed research center will become a research center for configuring and reconfiguring different manufacturing tasks. An important enabler of new methods of configuring these “participants.” It will be exciting to solve the challenges faced by multiple departments from a technical and legal perspective, and to see the solutions we can provide. At Stella At the University of Sklyde, we are the operator of the Scottish National Manufacturing Institute (NMIS), which is part of the High Value Manufacturing Catapult (HVMC), and we look forward to working with our industrial partners to design these novel solutions. "
Professor Darek Ceglarek, who leads the team at the University of Warwick, said: "I am very happy to be a member of the center and look forward to working with our academic and industrial partners to accelerate the adaptation of industrial robot systems. We will simulate near-realism through our digital twin The production and product quality are verified with high fidelity to achieve a correct and near-zero defect manufacturing. The digital twin will be integrated with AR/VR and virtual avatar embedded decision-making studios to promote new ways of using industrial robot systems."
It is one of five university-led research centers funded by UKRI. Made Smarter is part of a broader £300 million partnership between government, industry, Catapults and academia, and is a strategic innovation of business, energy and industry. Leader of Strategy Department.
The key priority areas of the center's research and innovation are:
– Collaboration: Robot systems need better models to illustrate how people naturally interact with others in order to begin to truly collaborate with others and take full advantage of their respective advantages.
– Autonomy: Robots need to expand their sensory perception and autonomous cognitive capabilities to effectively perform increasingly complex tasks and respond to changes and destructive changes.
– Responsiveness: The process of designing, verifying, verifying, deploying, and operating automation needs to become more accessible to a wider range of people and organizations.
– Acceptance: The social, cultural, and economic impact of automation needs to be better explored in order to provide information for future policies, regulations, and educational requirements.
More information: www.lboro.ac.uk