Lou Zhong

Papers

Total Citations

144

H-Index

About

Lou Zhong is a leading researcher at the forefront of space robotics and intelligent manipulation systems. His work primarily addresses the monumental challenges of on-orbit assembly and autonomous robotic control, with a focus on enabling the construction of large-scale space infrastructure like space stations and solar power satellites. Dr. Zhong’s major contributions include a comprehensive survey on space robotic technologies for on-orbit assembly (2022), which has garnered 98 citations and serves as a foundational reference for the field. He has also pioneered a task-adaptive deep reinforcement learning framework for dual-arm robot manipulation (2024), achieving 46 citations by solving the complex problem of closed-chain manipulation—where multiple robot arms must cooperate flexibly. This work demonstrates his innovative integration of AI with robotics, pushing the boundaries of autonomous operation in space. With over 144 citations across his most-cited papers, Dr. Zhong’s research is highly influential, offering practical pathways for future space exploration and construction. His achievements highlight a rare blend of theoretical depth and applied engineering, making him a key figure for students and researchers interested in the next generation of space robotics.