Mengjie He

Nanjing University of Aeronautics and Astronautics

Papers

Total Citations

235

H-Index

About

Mengjie He is a leading researcher in space robotics and autonomous spacecraft control, with a focus on enabling advanced on-orbit servicing missions. His work centers on the dynamics, planning, and stabilization of multi-armed space robots and hybrid actuator systems, addressing critical challenges in free-floating environments. He is best known for his pioneering contributions to reinforcement learning-based dual-arm trajectory planning for free-floating space robots, a paper that has garnered 182 citations and stands as a cornerstone in the field. This work demonstrated how machine learning can overcome the complexities of coordinated motion in microgravity, significantly advancing autonomous manipulation capabilities. Additionally, his research on attitude control for on-orbit servicing spacecraft using hybrid actuators (31 citations) and dynamics modeling for multiarmed robots (22 citations) has provided foundational frameworks for stabilizing and controlling complex space systems. Through these contributions, He has helped pave the way for safer, more efficient satellite servicing, debris removal, and assembly in space, making him a key figure in the next generation of autonomous space operations.