Yevgeniy Yesilevskiy

University of Michigan–Ann Arbor, Google (United States)

Papers

5

Total Citations

338

H-Index

5

About

Yevgeniy Yesilevskiy is a leading researcher in bio-inspired robotics, specializing in the energetics and dynamics of legged locomotion. His work bridges biology and engineering to uncover how animals achieve remarkable energy economy and how those principles can be applied to robots. Yesilevskiy’s most influential contribution is his systematic analysis of how gait selection—from walking and running to hopping—affects energy efficiency, showing that robots, like animals, can benefit from switching gaits at different speeds. His highly cited papers, including “An Overview on Principles for Energy Efficient Robot Locomotion” (116 citations) and “Selecting gaits for economical locomotion of legged robots” (104 citations), have shaped the field’s understanding of optimal mechanical design. He also demonstrated that all common bipedal gaits emerge from a single passive model, revealing fundamental principles of natural dynamics. Further, his exploration of articulated spines in quadrupedal robots and the comparison of series versus parallel elastic actuation in hopping robots has advanced the design of more efficient, animal-like machines. With over 300 total citations, Yesilevskiy’s work is essential reading for anyone interested in creating robots that move with the grace and economy of living creatures.

Research Focus

Key Achievements

5
H-Index
5
Papers
338
Total Citations
68
Avg Citations/Paper
🏆 Most Cited Paper
An Overview on Principles for Energy Efficient Robot Locomotion
116 citations · 2018
📈 Most Prolific Year: 2018 (4 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: University of Michigan–Ann Arbor, Google (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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