讲演摘要

Human-robot interaction has been identified as an important enabling technology for revolutionizing the production systems towards a smart factory in the context of industry 4.0. In the future factories, collaborative robots (Cobots) are supposed to work closely together with humans in a shared workspace with physical interactions. On one hand, humans' significant cognitive abilities in learning and adaptation to various task demands and disturbances, and the Cobots' superior physical capabilities can be combined to make the manufacturing systems sufficiently flexible and adaptive. On the other hand, the behaviors of the Cobots can be regulated adaptively by considering the physical states of the human partners in order to have them alleviate possible fatigue, stress, and injuries in a collaboration process towards an ergonomic human-robot collaboration. The role of human workers will be therefore redefined in a future factory. To seamlessly integrate human workers with Cobots, the biomechanical information of human worker has to be exploited. This talk will present research outcome of musculoskeletal modeling of human body, online estimation of biomechanical properties, and their applications to human-robot interaction.

讲演者简介

Dr. Cheng Fang received his Ph.D. degree in mechanical design and theory from the Robotics Research Institute, Beihang University, Beijing, China, in 2013. During his Ph.D period, he conducted researches on motion planning, control and skill transfer for redundant anthropomorphic arms based on movement primitives. He was awarded National Scholarship for Graduate Students and Outstanding Doctoral Dissertation Award of Beihang University. Afterwards, He joined the Humanoids and Human Centered Mechatronics Lab in Italian Institute of Technology as a Postdoctoral Researcher in 2014. During his Postdoctoral period, he was involved in a couple of European projects, i.e., SAPHARI (FP7-ICT-2011-7), WALK-MAN (FP7-ICT-2013-10) and CENTAURO (H2020 ICT-23-2014), working on the development of algorithms and software for improving the manipulation skills (especially the skills which require interactions or contracts among humans, robots and environment) of humanoid robots by utilizing the kinematic and dynamic musculoskeletal modelling of human body. He is currently an assistant professor in the Maersk Mc-Kinney Moller Institute at University of Southern Denmark. His current research interests include physical human-robot-environment interactions (in the context of Industry 4.0), kinematic and dynamic musculoskeletal modelling of human body, safety issue on the human-robot collaboration.