Holger Klein
Papers
2
Total Citations
22
H-Index
2
About
Holger Klein’s research lies at the intersection of robotics, human motion analysis, and Riemannian geometry, where he pioneers methods to model and generate dynamic, constraint-aware movements. His most cited work, “A Riemannian Take on Human Motion Analysis and Retargeting” (2022, 17 citations), challenges conventional approaches by revealing how posture-dependent nonlinear interactions between degrees of freedom shape human motion—insights that directly inform more natural robot movement generation and retargeting. Building on this, his 2023 paper “On the Design of Region-Avoiding Metrics for Collision-Safe Motion Generation on Riemannian Manifolds” (5 citations) introduces elegant geometric frameworks that treat robot motions as geodesics on curved spaces, inherently satisfying constraints like joint limits and collision avoidance without explicit penalty terms. This work promises energy-efficient, dynamic-aware motion planning for complex environments. Though early in his career, Klein’s contributions are already shaping how researchers think about motion as a geometric phenomenon, bridging human biomechanics and robotic control. His Riemannian perspective offers a powerful lens for future work in human-robot interaction, animation, and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1A Riemannian Take on Human Motion Analysis and Retargeting17 citations · 2022
- 2