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About

Junming Chen is a leading researcher at the intersection of humanoid robotics, human-robot interaction, and surgical automation. His work focuses on enabling robots to move with human-like expressiveness and precision, from whole-body control to dexterous teleoperation. Chen’s most influential contribution is his work on expressive whole-body control for humanoid robots, which has garnered over 70 citations. By leveraging large-scale human motion capture data, he developed a policy that allows human-sized robots to mimic diverse, realistic motions in real-world settings—a breakthrough for natural human-robot collaboration. He has also advanced vision-based virtual fixtures for teleoperation, improving accuracy in remote manipulation tasks, and pioneered anchor-guided online meta adaptation for fast, one-shot instrument segmentation in robotic surgery. His research on supernumerary robotic limbs further demonstrates his commitment to enhancing human capability in industrial grasping tasks. With a growing citation record and a focus on both foundational algorithms and practical deployment, Chen is shaping the future of expressive, assistive, and surgical robotics.