Papers
2
Total Citations
218
H-Index
2
About
Chaoyong Li is a leading researcher in the fields of space robotics and distributed multi-agent systems, with a particular focus on reinforcement learning and formation control. His most influential work, "Reinforcement learning in dual-arm trajectory planning for a free-floating space robot" (2020), has garnered 182 citations, demonstrating its significant impact on autonomous manipulation in microgravity environments. This contribution addresses critical challenges in space operations, enabling robots to adaptively coordinate dual arms without a fixed base—a breakthrough for satellite servicing and debris removal. Li’s earlier research on distributed extremum seeking and formation control for nonholonomic mobile networks (2014, 36 citations) laid foundational theory for coordinating teams of robots without centralized communication, with applications in surveillance and exploration. His work bridges the gap between adaptive learning algorithms and real-world robotic constraints, earning recognition for advancing both theoretical frameworks and practical implementations. Li’s research continues to shape the future of autonomous systems in aerospace and robotics, inspiring new approaches to multi-agent coordination and intelligent control.
Research Focus
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