Papers
4
Total Citations
21
H-Index
3
About
Dongbo Liu is a leading researcher in space robotics and surgical navigation systems, with a focus on precision control for high-stakes operations. His primary contributions lie in developing advanced impedance control strategies for space robots, particularly for on-orbit insertion, extraction, and auxiliary docking tasks. Liu’s work addresses critical challenges in modular spacecraft assembly, satellite servicing, and debris recovery by integrating adaptive neural networks and prescribed performance methods to ensure stable force/posture interaction in free-floating environments. His most cited paper (2023, 9 citations) introduces an adaptive neural network-based impedance control for space robot insertion and extraction, while his 2022 study (6 citations) applies prescribed performance control to the same problem. Notably, Liu has also pioneered a computed tomography and structured light imaging-guided orthopedic navigation puncture system (2024, 4 citations), which effectively reduces intraoperative image drift and mismatch—a breakthrough for surgical robotic platforms. His dual-arm space robot docking control research (2024, 2 citations) further extends his impact on closed-chain hybrid system dynamics. With a growing citation record and applications spanning orbital mechanics to clinical surgery, Liu’s work exemplifies cross-disciplinary innovation in autonomous robotic manipulation.
Research Focus
Key Achievements
Top Papers
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