Papers
2
Total Citations
8
H-Index
2
About
Weiyi Zhou is a robotics researcher whose work centers on bio-inspired actuation and intelligent motion planning for soft and continuum robots. A key contribution is the development of the Intelligent Pneumatic Muscle (IPM), which integrates shape memory alloy (SMA) wires into a braided shell to enhance the performance of traditional pneumatic actuators. Zhou established an output force model and built a prototype test-bench, laying foundational work for smarter, more responsive robotic muscles. Building on this, Zhou’s most-cited paper (6 citations) addresses the practical challenge of energy-efficient locomotion in an inchworm robot. By applying an improved adaptive particle swarm optimization (PSO) algorithm, Zhou’s method optimally plans peristaltic gaits using cubic and seventh-order polynomial trajectories in Cartesian and joint spaces, significantly reducing motion energy consumption. This work bridges theoretical optimization with real-world hardware constraints, offering a clear path toward more autonomous and efficient soft robots. Zhou’s research is notable for its hands-on, system-level approach—combining novel actuator design with intelligent control—making it highly relevant for students and engineers working on bio-inspired robotics, soft actuators, and energy-aware motion planning.
Research Focus
Key Achievements
Top Papers
- 1Motion Planning of an Inchworm Robot Based on Improved Adaptive PSO6 citations · 2022
- 2