Papers
4
Total Citations
49
H-Index
3
About
An Zhu is a robotics and control systems researcher whose work centers on the intelligent control of space robots, particularly in the challenging domain of on-orbit capture of non-cooperative spacecraft. His research addresses one of the most critical engineering problems in space robotics: protecting delicate joint mechanisms from destructive impact forces during capture operations. To tackle this, Zhu has pioneered the integration of physical buffer devices — such as spring-damper systems — with advanced control algorithms, creating hybrid hardware-software solutions that significantly enhance operational safety and reliability. His most influential contributions include applying reinforcement learning frameworks to achieve buffer compliance control during spacecraft capture (23 citations) and developing fuzzy logic reinforcement learning strategies combined with spring-damper devices to safely absorb impact energy (18 citations). More recently, he has expanded into dual-arm space robot systems and fixed-time trajectory tracking using adaptive neural networks, demonstrating a consistent drive toward greater robustness under real-world uncertainties including input nonlinearities and external disturbances. With a growing citation record and increasingly sophisticated methodologies, Zhu's work is establishing a strong foundation for safer autonomous space manipulation — a capability essential to the future of satellite servicing and orbital debris management.
Research Focus
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