Abstract
Industry robot manipulators have been invented for nearly 50 years. In the past, such robot manipulators are used in mass manufacturing lines and programmed manually by engineers. However, as modern manufacturing moves into low volume high mix products in a very tight schedule, it becomes very challenge to program the robots to handle large variety of products and parts and also to make changes to the manufacturing lines in a very short time. With advancement in 3D machine vision, machine learning methods and fast computing power, there is an emerging trend to put 3D perception device, machine learning technique into industry robots to make them “smart’ enough to handle a variety of products in a changing environment. In this speech, we will discuss how 3D perception systems and machine learning techniques are used in manufacturing, logistics and hospital supply automation scenarios. We will use our past experiences in Amazon Robotics Challenge and DHL Robotics Challenge as examples to look at the integration of 3D perception, machine learning and robot motion planning as well as new emerging application areas like hospital supply systems and food automation that need to handle the item-picking process.
Biography
Professor I-Ming Chen received B.S. degree from National Taiwan University in 1986, and M.S. and Ph.D. degrees from California Institute of Technology, Pasadena, CA in 1989 and 1994 respectively. He is currently Full Professor in the School of Mechanical and Aerospace Engineering, and Co-Director of CARTIN (Center for Advanced Robotics Technology and Innovation) in Nanyang Technological University (NTU), and Technical Advisor to National Robotics Program Office in Singapore, and Certified Patent Valuation Analyst (CPVA). He was Editor-in-chief of IEEE/ASME Transactions on Mechatronics from 2020 to 2022, and Director of Robotics Research Centre (NTU) from 2013 to 2017. Professor Chen is Fellow of Singapore Academy of Engineering, Fellow of IEEE and Fellow of ASME, General Chairman of 2017 IEEE International Conference on Robotics and Automation (ICRA 2017) in Singapore. His research interests are in Robot AI & perception, logistics and construction robots, human-robot interaction, and industrial automation. He founded Transforma Robotics Pte Ltd developing robots for construction industry and Hand Plus Robotics Pte Ltd developing robotics and AI solutions for logistics and manufacturing industry.
腾讯会议:317-489-079
主持人:窦建平
讲座时间:2024年9月13日14:00-16:00(GMT+08:00)
讲座地点:5657威尼斯机械楼南高厅
主办单位:5657威尼斯
