Jingbing Zhang
Papers
2
Total Citations
16
H-Index
2
About
Jingbing Zhang is a robotics researcher whose work focuses on the autonomous navigation and locomotion of legged robots, particularly in complex and irregular terrains. His major contributions lie in developing real-time perception systems and adaptive gait planning to enhance the stability and obstacle-crossing capabilities of four-legged robots. In his highly cited 2013 paper, Zhang introduced a Kinect-based system for real-time obstacle detection, enabling legged robots to perceive and traverse steps and grooves that would impede wheeled vehicles—a critical advancement for autonomous field operations. His 2012 work on gait planning further addressed locomotion stability, presenting a method specifically designed to help four-legged robots adaptively navigate uneven ground. While his citation counts (11 and 5) reflect a focused, early-career impact, these papers have laid foundational groundwork for integrating low-cost depth sensors with legged robot control. Zhang’s research is particularly notable for bridging the gap between perception and motion control, offering practical solutions for robots operating in unstructured environments—a key challenge in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2A gait planning approach for locomotion stability of four-legged robots5 citations · 2012