Changkao Shan
Papers
3
Total Citations
12
H-Index
2
About
Changkao Shan is a robotics researcher whose work centers on bio-inspired locomotion, human-robot interaction, and neural control systems. His primary research areas include snake-like robot motion control, central pattern generator (CPG) mechanisms, and vision-based human-robot interfaces. Shan’s major contributions lie in advancing the understanding of how legless, rhythmic gaits can be applied to inspection tasks and aquatic environments. He developed snake-like robots and dynamic simulators using open-source software and accessible components, employing the Serpenoid Curve formula to generate joint rhythms for land and water locomotion. Notably, he designed a Mirror Neuron System Mechanism (MNSM)-based controller for swimming motion, mimicking biological CPG neuron systems to achieve rhythmic swimming gaits. In human-robot interaction, Shan created a Kinect-based system for RoboCup Middle Size League soccer robots, enabling gesture recognition, front-view gait recognition, and non-normative view gait recognition to identify human actions. His most-cited work, “Study on the motion control of snake-like robots on land and in water” (2015), has garnered 6 citations, reflecting its foundational role in bio-inspired robotics. Shan’s interdisciplinary approach—bridging neuroscience, control theory, and computer vision—offers practical pathways for deploying snake-like robots in real-world inspection and search-and-rescue missions.
Research Focus
Key Achievements
Top Papers
- 1Study on the motion control of snake-like robots on land and in water6 citations · 2015
- 2
- 3