Papers
17
Total Citations
119
H-Index
7
About
Liucun Zhu is a robotics and intelligent systems researcher whose work spans two deeply interconnected domains: rehabilitation robotics and autonomous mobile robot navigation. His most significant contributions lie in the development of advanced control frameworks for lower limb exoskeleton rehabilitation robots, where he has pioneered impedance control models, magnetorheological variable stiffness actuators, and series elastic actuator systems designed to enhance human-machine interaction and patient safety during gait rehabilitation. These works have collectively accumulated dozens of citations and address critical clinical challenges such as impact absorption, smooth motion control, and adaptive assistance for patients with motor impairments. Alongside his rehabilitation engineering work, Zhu has made meaningful contributions to mobile robot localization and path planning. His multi-sensor fusion SLAM framework, which has garnered 18 citations since 2023, advances precise positioning in complex environments by integrating multiple sensor modalities. He has also improved swarm-intelligence algorithms, including the Salp Swarm and ant colony algorithms, to overcome local minima and slow convergence in robot path planning. With over 100 cumulative citations across a growing publication record, Zhu's research bridges theoretical algorithmic innovation with practical robotic system design, making him an impactful voice in both assistive healthcare technology and intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 4Robot Path Planning Based on an Improved Salp Swarm Algorithm10 citations · 2022
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- 6Mapping and Path Planning Simulation of Mobile Robot Slam Based on Ros8 citations · 2022
- 7SLAM Back-End Optimization Algorithm Based on Vision Fusion IPS7 citations · 2022
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