Papers
11
Total Citations
125
H-Index
6
About
Haiping Ai is a robotics researcher specializing in space robotics, robot control systems, and intelligent motion planning. His work sits at the intersection of advanced control theory and real-world robotic applications, with particular focus on two critical domains: space robot on-orbit operations and dual-arm robotic systems. Ai's most significant contributions address the challenge of protecting robotic joints from impact damage during satellite capture operations. He has pioneered the integration of physical buffer mechanisms — such as spring-damper devices — with sophisticated control algorithms including reinforcement learning and fuzzy logic, creating hybrid solutions that bridge hardware and software approaches to joint protection. His research on flexible space robots, encompassing flexible bases, links, and joints simultaneously, has advanced the field of vibration suppression and stabilization control, with his repetitive learning sliding mode control work earning 16 citations. Beyond space robotics, Ai has contributed to medical and service robotics through deep reinforcement learning-based trajectory planning for dual-arm robots operating near human patients. His 2022 paper on this topic stands as his most cited work, accumulating 30 citations. Collectively, his publications demonstrate a consistent drive to make robotic systems safer, more adaptive, and more reliable under complex, uncertain real-world conditions — work increasingly relevant as autonomous robots take on high-stakes missions in space and healthcare environments.
Research Focus
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