Papers
4
Total Citations
33
H-Index
2
About
Hongshuai Liu is a robotics researcher focused on advancing autonomous manipulation, human–robot collaboration, and rehabilitation exoskeletons. His work addresses critical challenges in unstructured and dynamic environments, particularly through innovative path planning and adaptive control strategies. Liu's most cited paper, "Research on the Path Planning Algorithm of a Manipulator Based on GMM/GMR-MPRM" (2021, 25 citations), introduces a probabilistic approach that enables robots to avoid dynamic obstacles while adhering to task paths—a key contribution to next-generation flexible robotics. He has also made significant strides in rehabilitation technology, developing a fuzzy adaptive impedance control method for pneumatic artificial muscle (PAM) elbow exoskeletons (2024, 5 citations), integrating backstepping control to enhance user adaptability during therapy. More recently, Liu has explored fuzzy and neural adaptive control for dual-arm cooperative robots (2025), addressing input deadzones and quantitative performance guarantees. His research consistently bridges theoretical control methods with practical robotic applications, from industrial manipulators to assistive devices. With a growing citation record and a focus on real-time adaptability, Liu's work is shaping safer, more intuitive human–robot interaction systems.
Research Focus
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