Papers
37
Total Citations
335
H-Index
11
About
Dr. Huasong Min is a leading researcher in intelligent robotics, whose work bridges the critical gap between robotic perception, autonomous navigation, and human-robot interaction. His research primarily focuses on three key areas: industrial robot calibration and control, mobile robot path planning, and the integration of large language models (LLMs) with robotic systems. Dr. Min’s most impactful contribution is the development of a novel method that combines LLMs with Behavior Trees (LLM-BT), enabling robots to adaptively handle external disturbances during complex tasks—a breakthrough that has already garnered 30 citations since its 2024 publication. He is also widely recognized for his work on path planning, notably his hybrid approach mixing experience with a modified artificial potential field method (33 citations), and his A* and genetic algorithm hybrid for global path planning. In the domain of human-robot interaction, Dr. Min designed an object sorting robot system with 3D visual perception and natural language reasoning, achieving 26 citations. His work on teleoperated soft robot hands with variable stiffness and metamorphic palms represents a significant advance in dexterous manipulation. With over 200 total citations across his top ten papers, Dr. Min’s research is shaping the future of adaptive, intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 10A Robot SLAM Improved by Quantum-Behaved Particles Swarm Optimization11 citations · 2018