Xiaomeng Xu
Xiaomeng Xu is a PhD candidate in Electrical Engineering at Stanford University, advised by Professor Shuran Song as part of the REALab. His research focuses on leveraging machine learning for robot design and control, with emphasis on whole-body and mobile manipulation, active sensing, and hardware-software co-design. He is known for projects including RoboPanoptes, a robot with whole-body dexterity for sensing and interaction, and HoMMI, a framework for learning whole-body mobile manipulation from human demonstrations. He previously earned a Bachelor of Engineering in Automation from Tsinghua University.
“To our knowledge, this is the first vine robot system capable of autonomous closed-loop control using on-board sensing alone”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.