Jian Bing

Papers

Total Citations

136

H-Index

About

Jian Bing is a leading researcher in humanoid robotics, specializing in motion control and the transfer of human movement to robotic systems. Their work addresses the fundamental challenge of enabling robots to replicate complex human actions, a critical step toward creating more intuitive and programmable machines. Bing's most influential contributions include the development of whole-body control strategies that leverage human motion descriptors, as detailed in their highly cited 2008 paper (78 citations). This work pioneered methods for direct, online control of humanoid robots from observed human motion, overcoming inherent challenges in real-time motion retargeting. Expanding on this foundation, their 2009 study on online transfer of human motion to humanoids (58 citations) advanced the field by providing practical solutions to the motion retargeting problem, which had previously been limited to offline applications. These contributions have significantly impacted robotics, enabling more fluid and natural robot movements and simplifying the programming of complex behaviors. Bing's research remains essential reading for scholars and engineers working at the intersection of human motion analysis and humanoid control, offering foundational techniques that continue to influence modern robotic learning and imitation systems.