Papers

3

Total Citations

13

H-Index

2

About

Guowei Ma is a robotics researcher specializing in biomechanical design, human–robot interaction, and locomotion stability for legged systems. His work bridges the gap between wearable assistive technology and autonomous quadruped robots, with a focus on safety and bio-inspired mechanical design. Ma’s most-cited paper (8 citations) introduces a human falling recognition system using wearable pressure-sensing shoes, integrating SVM and PCA classifiers to detect instability in users of power-assist robots—a critical contribution to fall prevention for individuals with balance impairments. In quadruped robotics, he has advanced compliant foot design through closed-chain mechanism legs (3 citations) and conducted comparative studies of ground reaction forces between hemispherical and bionic equinus feet (2 citations), revealing how foot morphology affects propulsion and stability. His work on bionic feet challenges the dominance of simple geometric foot shapes, advocating for more biologically accurate designs to improve robot locomotion in unstructured environments. Ma’s research is notable for its practical orientation, combining rigorous kinematic analysis with experimental validation to enhance both human-assist and autonomous robotic systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
13
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Human falling recognition system design with wearable pressure sensing shoes
8 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Beihang University, University of Science and Technology of China

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago