Papers
11
Total Citations
157
H-Index
6
About
Runxiao Wang’s research lies at the intersection of bio-inspired robotics, human-robot interaction, and intelligent locomotion control, with a particular focus on quadruped and bionic leg systems. His most influential work, “Analysis and research of quadruped robot’s legs: A comprehensive review” (2019), has garnered 77 citations and stands as a key reference for understanding mechanical leg design, walking adaptability, and load capacity—core factors in quadruped performance. Wang also made notable contributions to human-robot motion retargeting, developing a generative approach using a single depth sensor (20 citations) that enables robots to intuitively follow human movements without complex joint mapping. His earlier work on Central Pattern Generators for quadruped locomotion control (2008) helped advance neural-inspired gait modulation, while his studies on “J”-curve spring stiffness and segmented legs have informed high-speed running dynamics in compliant-legged robots. Beyond locomotion, Wang has explored stereo vision odometry for mobile robot navigation and semantic segmentation of supporting surfaces for indoor environment understanding. With a career spanning foundational reviews to cutting-edge motion retargeting and sEMG-based control for bionic legs, Wang’s research continues to shape how robots move, adapt, and interact with humans in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1Analysis and research of quadruped robot’s legs: A comprehensive review77 citations · 2019
- 2Brief Analysis of a BigDog Quadruped Robot24 citations · 2012
- 3
- 4
- 5
- 6Towards Robotic Semantic Segmentation of Supporting Surfaces6 citations · 2015
- 7Advances in Research of Stereo Vision Odometry5 citations · 2011
- 8
- 9
- 10