Crandi

Lihui Wang S Lab Kth Royal Institute Of Technology Kth

Leo Migdal
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lihui wang s lab kth royal institute of technology kth

Brain Robotics for Human-Robot Collaboration During the past decades, electroencephalography (EEG) has been used to analyse and understand the behaviours of human brains. Despite the challenges in capturing EEG signals accurately and consistently, recent developments in analysing brain EEG signals show the potential in using the signals for communication with different manufacturing equipment such as robots for... Using human brainwaves for communication with a robot offers two major advantages: (1) it allows an operator to control a robot while performing a related task to co-work with the robot, which will have... For example, using mental commands to control the robot can overcome the difficulties that often accompany the usage of voice commands in a relatively noisy robotic environment. This seminar will first present a snapshot of AI history and the latest advancement on brain robotics and HRC.

In order to understand the new technology and its future potential in HRC assembly, examples of brainwave-driven robot control will be explained. This seminar will then project the future growth enabled by brain robotics, with the challenges to be identified. Lihui Wang is a Professor and Chair of Sustainable Manufacturing at KTH Royal Institute of Technology, Sweden. His research interests are presently focused on brain robotics, cyber-physical systems, real-time monitoring and control, predictive maintenance, human-robot collaborations, and adaptive manufacturing systems. Professor Wang is actively engaged in various professional activities. He is the Editor-in-Chief of International Journal of Manufacturing Research, Editor-in-Chief of Robotics and Computer-Integrated Manufacturing, and Editor-in-Chief of Journal of Manufacturing Systems.

He has published 9 books and authored in excess of 500 scientific publications. Professor Wang is a Fellow of Canadian Academy of Engineering, CIRP, SME and ASME. He is also a Professional Engineer in Canada, the President of North American Manufacturing Research Institution of SME, and the Chairman of Swedish Production Academy. Date and time: Nov 18 (Wed), 2020, 22:00 HKT (GMT+8) [Local time] Professor Wang's research interests are focused on cyber-physical systems, cloud manufacturing, predictive maintenance, real-time monitoring and control, human-robot collaborations, adaptive and sustainable manufacturing systems, which can be termed as Smart Cybernetic Manufacturing. Lihui Wang is a Professor and Chair of Sustainable Manufacturing at KTH Royal Institute of Technology, Sweden.

Professor Wang is actively engaged in various professional activities. He is the Editor-in-Chief of International Journal of Manufacturing Research, Editor-in-Chief of Robotics and Computer-Integrated Manufacturing, Editor-in-Chief of Journal of Manufacturing Systems, and Associate Editor of International Journal of Production Research. He has published 10 books and authored in excess of 600 scientific publications. Professor Wang is a Fellow of CAE (Canadian Academy of Engineering), AET (International Academy of Engineering and Technology), CIRP (International Academy for Production Engineering), SME (Society of Manufacturing Engineers) and ASME (American Society of... He is the President (2020-2021) of North American Manufacturing Research Institution of SME, USA, and the Chairman (2018-2020) of Swedish Production Academy. Professor Wang is also a registered Professional Engineer in Canada.

Smart cybernetic manufacturing aims for flexible and adaptive manufacturing operations locally or globally by using integrated technologies that can combine the advanced computing power with manufacturing equipment. It depends on the timely acquisition, distribution, and utilisation of information from machines and processes from manufacturing shop floors and across product lifecycles. Effective information sharing can improve production quality, reliability, resource efficiency and the recyclability of end-of-life products. Smart cybernetic manufacturing built on digitalisation aims for better sustainability and contributes to factories of the future. Vi använder cookies för att förbättra användarupplevelsen och analysera användarbeteende. Du kan läsa mer på sidan Om cookies.

Kunskapsförmedlingen är en samlingsplats för svensk forskning inom produkt- och produktionsutveckling, med syftet att göra forskningsresultat mer tillgängliga för industrin, samt att stärka samverkan mellan högskolor, institut och näringsliv.

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