Yanhao He
Papers
8
Total Citations
120
H-Index
7
About
Yanhao He is a robotics researcher whose work sits at the intersection of multi-robot systems, cooperative manipulation, and human-robot interaction. Over the course of his career, He has made significant contributions to the design of distributed control frameworks that enable teams of robots to collaboratively manipulate objects in complex, dynamic environments — a technically demanding challenge given the high dimensionality and sensitivity to motion errors inherent in such systems. His cooperative optimization strategies and distributed optimal control frameworks have collectively garnered over 50 citations, reflecting their practical relevance to industrial robotics. Beyond multi-robot coordination, He has advanced human-robot collaboration, developing adaptive learning architectures based on dynamic movement primitives and reinforcement learning to enable more intuitive robot handovers and shared impedance control. One of his most recognized contributions is an elegant geometrical solution to the analytical inverse kinematics of the 7-DOF Franka Emika Panda manipulator, filling a surprising gap in the literature by rigorously characterizing its multiple solution configurations. His trajectory — from compliance-based leader-follower approaches in 2016 to sophisticated decentralized and learning-driven systems — demonstrates steady growth as a researcher shaping the future of intelligent, collaborative robotics.
Research Focus
Key Achievements
Top Papers
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