Papers

21

Total Citations

305

H-Index

10

About

Debora Clever is a robotics and biomechanics researcher whose work sits at the compelling intersection of human motion analysis, humanoid robotics, and optimal control theory. She is best known for pioneering the application of inverse optimal control (IOC) methods to decode the underlying optimality principles governing human walking, a contribution that has reshaped how researchers approach the transfer of biomechanical motion patterns to humanoid platforms. Her landmark 2016 study on IOC-based identification of optimality criteria in human locomotion has garnered 39 citations, while her closely related work on transferring constrained human walking to humanoid robots has attracted 35. Clever's COCoMoPL framework — elegantly combining optimal control, movement primitives, and machine learning — demonstrated practical humanoid gait generation on real hardware, including the HRP-2 robot, earning 29 citations. Beyond biomechanics, she has made notable contributions to industrial robotics, including influential work on friction modeling in strain wave gears and rigorous analyses of resource efficiency, energy consumption, and robot service life. Her body of work, accumulating over 250 citations across a decade, reflects a researcher consistently bridging theoretical elegance with real-world robotic application.

Research Focus

Key Achievements

10
H-Index
21
Papers
305
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Inverse optimal control based identification of optimality criteria in whole-body human walking on level ground
39 citations · 2016
📈 Most Prolific Year: 2016 (6 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: Heidelberg University, Technische Universität Darmstadt

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago