Huigang Xu
Papers
3
Total Citations
12
H-Index
2
About
Huigang Xu is a robotics researcher whose work centers on bio-inspired locomotion, human-robot interaction, and control systems for mobile robots. His primary research areas include snake-like robot motion control, central pattern generator (CPG) mechanisms, and vision-based human-robot interfaces. Xu’s most significant contributions lie in developing controllers that enable snake-like robots to navigate both land and aquatic environments, drawing inspiration from biological neural systems. His 2015 study on snake-like robot motion control (6 citations) introduced dynamic simulators using open-source software and the Serpenoid Curve formula to generate rhythmic joint movements. In another key paper (4 citations), Xu designed a Mirror Neuron System Mechanism (MNSM)-based controller for swimming locomotion, advancing the understanding of artificial CPG systems. He also explored Kinect-based human-robot interaction for RoboCup soccer robots (2 citations), integrating gesture and gait recognition to enable intuitive human-robot collaboration. While his citation counts are modest, Xu’s work demonstrates a thoughtful integration of biological principles with practical robotic design, contributing to the growing field of bio-inspired robotics and human-robot teamwork.
Research Focus
Key Achievements
Top Papers
- 1Study on the motion control of snake-like robots on land and in water6 citations · 2015
- 2
- 3