Tianyou Guo

University of Michigan–Ann Arbor

Papers

9

Total Citations

201

H-Index

8

About

Tianyou Guo is a robotics and autonomous systems researcher whose work sits at the intersection of terrain mechanics, mobile robot locomotion, and energy management. His primary contributions center on understanding and modeling the complex interactions between robotic platforms — both wheeled and tracked — and deformable terrains such as sand and soil, with significant implications for planetary exploration and military applications. Guo's most influential work, accumulating over 40 citations, examines power consumption modeling for small mobile robots navigating challenging surfaces, providing validated frameworks that enable smarter motion planning and vehicle design. His development of wheel-soil interaction models, including studies of wheel sinkage, skid dynamics, and normal stress distributions, has advanced terramechanics for Mars and lunar rover applications. A purpose-built apparatus for measuring wheel-soil interactions on sandy terrain further demonstrates his commitment to experimental validation alongside theoretical modeling. Beyond locomotion mechanics, Guo has contributed to online terrain parameter estimation and battery and mission management strategies for ground robots, reflecting a systems-level perspective on autonomous vehicle operation. With over 200 cumulative citations across his published work, his research provides essential tools for engineers designing next-generation unmanned ground vehicles capable of reliably operating in the world's most demanding environments.

Research Focus

Key Achievements

8
H-Index
9
Papers
201
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Power consumption of tracked and wheeled small mobile robots on deformable terrains–model and experimental validation
41 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: University of Michigan–Ann Arbor

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago