From 2011 to 2015, he studied for a doctorate in EPFL, Switzerland, and his research interests are robot learning and human-computer coordination and interaction. The doctoral dissertation was nominated for EPFL Excellent Doctoral Dissertation Award and ABB automation award. Among them, the research on the dynamic adaptation of robot grasping is selected by the National Institute of standards and Technology (NIST) as the standard test method for robot sensing based grasping efficiency.
Nearly 20 high-level SCI / EI papers have been published and cited more than 100 times, h-index 6. He has been invited to make technical reports in iros, ICRA and case for many times, organize iros and ICRA robot grasping seminars, and initiate and organize the first China cooperative robot seminar. Reviewed top robot conferences and journals such as ICRA, iros, RSS, humanoids, IEEE robotics and automation letters (ra-l), IEEE Transactions on Robotics (TRO), autonomous robots (AR), robots and autonomous systems (RAS), Journal of sensor, Journal of intelligent and robotic systems. Undertake the teaching of EPFL robot practice course (Master course), and guide the master's thesis and robot semester project. He has been engaged in grasping planning and intelligent control of robot dexterous hand for a long time, and his main research focuses on the application of advanced machine learning algorithm to the control and design of complex mechanical system.