[PAST] Wearable Mechatronics for Human-X interactions
[PAST] Wearable Mechatronics for Human-X interactions 
2013 / 08 / 30
Location: 301 - 204
Speaker: I-Ming Chen
Prof. Chen, Fellow of IEEE and Fellow of ASME, General Chairman of 2017 IEEE International Conference on Robotics and Automation (ICRA 2017) in Singapore, received the 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 has been with the School of Mechanical and Aerospace Engineering of Nanyang Technological University (NTU) in Singapore since 1995. He is currently Director of Intelligent Systems Center in NTU, a partnership between Singapore Technology Engineering Ltd. and NTU, and also Director of Robotics Research Center of NTU. His research interests are in wearable sensors, human-robot interaction, reconfigurable automation, and parallel kinematics machines (PKM). Prof. Chen has published more than 260 papers in refereed international journals and conferences as well as book chapters. He has been the technical editor of IEEE/ASME Transactions on Mechatronics and IEEE Transactions on Robotics. Currently he is editor of Mechanism and Machine Theory and Robotica, He is General Chairman of 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM2009) in Singapore and 2013 IFToMM International Symposium on Robotics and Mechatronics (ISRM 2013) in Singapore.
The advancement of robotic technology (RT) and information technology (IT) has brought robots and mechatronics systems into our daily living at an unprecedented speed. Thus, interactions between the human and other types of subjects by means of the new RT and IT devices get more frequent and also become part of the system design and improvement process. Such RT and IT devices are either in the form of embedded devices blended into the environment or worn by the human to acquire human states for the subsequent interaction design.
In this lecture, the focus is on the design and applications of wearable mechatronics devices for human-x interaction. This lecture will exemplify Human-robot interaction with: 1) the design methodology of hardware and software platforms for enhanced communication and learning experience, and 2) the design and application of wearable motion sensors for human gesture detection and control of medical devices. In Human-human interaction, wearable mechatronics facilitates the learning and transfer of human skills through wearable sensors and haptic devices with multi-modal feedback via Internet among different users, for example, surgical training for students, job related operating skills, and casual exercise like Yoga and Taichi. In Human-environment interaction, wearable mechatronics devices enables simultaneous capture of human motion and contact dynamics for high fidelity human motion monitoring. Future research on full human-environment interaction for critical industrial robot applications will be described. This could have significant impact on the design of next generation of industrial robots.