Papers
13
Total Citations
158
H-Index
7
About
Peng Liang is a robotics researcher whose work spans bio-inspired robot design, wall-climbing systems, and intelligent motion control for mobile robots. His most significant contributions lie in developing novel wall-climbing robots that harness propeller reverse thrust as an adsorption mechanism, enabling stable locomotion across diverse surface materials and orientations. His foundational 2020 paper on propeller-driven wall-climbing robots has garnered 39 citations, while follow-up studies analyzing double-propeller stability, aerodynamic performance via computational fluid dynamics, and hybrid adhesion systems demonstrate a sustained and deepening research trajectory in this domain. Liang has equally made notable strides in autonomous navigation and control, pioneering hybrid strategies that combine classical kinematic control with deep reinforcement learning for nonholonomic wheeled mobile robots, work that has earned over 34 citations. His interest in biologically inspired locomotion extends further to locust-inspired robots capable of seamlessly transitioning between crawling, jumping, and gliding — a frontier area attracting growing attention for search-and-rescue applications. More recently, his work has expanded into rehabilitation robotics, exploring interactive force acquisition and adaptive control modes. Together, his publications reflect a versatile and impactful research program bridging biomimicry, control theory, and applied robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10