Mingwei Yeoh

University of California San Diego

Papers

1

Total Citations

4

H-Index

1

About

Mingwei Yeoh is a rising researcher in robotics and locomotion, specializing in the design and analysis of versatile robotic systems capable of traversing diverse, unstructured environments. His work centers on screw-based locomotion—a biologically inspired approach that enables robots to move effectively across solid ground, granular media like sand, and even through liquids. In his most cited paper, "Mobility Analysis of Screw-Based Locomotion and Propulsion in Various Media" (2023, 4 citations), Yeoh systematically characterizes the performance of screw-driven robots across these challenging terrains, providing foundational insights for robots operating "in-the-wild." This research addresses a critical gap in field robotics, where traditional wheeled or legged designs often fail in mixed or unpredictable conditions. Though early in his career, Yeoh’s contributions are gaining attention for their practical implications in search-and-rescue, planetary exploration, and agricultural automation. His work exemplifies a systems-level approach to mobility, combining rigorous analysis with real-world applicability. As the demand for resilient, all-terrain robots grows, Yeoh’s research positions him as a promising innovator in adaptive locomotion and field robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Mobility Analysis of Screw-Based Locomotion and Propulsion in Various Media
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of California San Diego

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago