Papers
9
Total Citations
383
H-Index
6
About
Aiming Liu is a leading researcher in the field of intelligent robotics, with a primary focus on human-robot interaction, sustainable manufacturing, and rehabilitation robotics. Liu’s work is distinguished by pioneering contributions to sensorless and adaptive admittance control, enabling safer and more intuitive physical human-robot collaboration—a key paper on this topic has garnered 125 citations. In sustainable manufacturing, Liu has developed critical energy consumption models for industrial robots, achieving 73 citations, and has advanced disassembly line balancing for remanufacturing through an improved multi-objective discrete bees algorithm (120 citations). Liu’s research also extends to soft robotics for rehabilitation, notably designing a hierarchical compliance control system for an ankle rehabilitation robot actuated by pneumatic muscles (39 citations). More recently, Liu has applied neural network-based visual servo control to the challenging domain of fusion reactor remote maintenance, including work on the CFETR project. With a growing body of highly cited work, Liu is recognized for bridging fundamental control theory with real-world applications in manufacturing, healthcare, and nuclear maintenance, demonstrating a clear impact on both academic research and industrial practice.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7Design and research of CFETR peg hole assembly virtual platform5 citations · 2023
- 8
- 9