Weixin Yang

University of Nevada, Reno

Papers

9

Total Citations

110

H-Index

6

About

Weixin Yang is a leading researcher in bio-inspired robotics, specializing in the control, navigation, and perception of snake-like robots. His major contributions lie in developing adaptive path-following algorithms for underactuated snake robots operating on unknown and varied friction terrains, a challenge that has limited the practical deployment of these flexible machines. Notably, his 2018 work on adaptive path following (40 citations) introduced a control strategy that eliminates the need for exact friction coefficients, a significant departure from prior methods. Yang has also advanced sensor fusion for state estimation, improving motion tracking accuracy with low-cost IMUs and LiDAR, and has tackled autonomous navigation in unknown environments through perception-aware path planning. His work on 3D-printed snake robot prototypes (17 citations) demonstrates a commitment to experimental validation, bridging theory and practice. With over 110 citations across his portfolio, Yang’s research is foundational for the next generation of hyper-redundant robots used in search-and-rescue, inspection, and exploration.

Research Focus

Key Achievements

6
H-Index
9
Papers
110
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive Path Following of Underactuated Snake Robot on Unknown and Varied Frictions Ground: Theory and Validations
40 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: University of Nevada, Reno

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago