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

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Motion Planning of an Inchworm Robot Based on Improved Adaptive PSO
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Yueqing People's Hospital, China Jiliang University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago