Papers
10
Total Citations
606
H-Index
8
About
Jean-Claude Metzger is a leading figure at the intersection of robotics, haptics, and neurorehabilitation. His research focuses on developing intelligent robotic systems for stroke rehabilitation, with a particular emphasis on hand function recovery and multi-robot coordination. Metzger’s most impactful contribution is his work on decentralized Voronoi coverage for non-convex environments, which has garnered 218 citations and provides a foundational algorithm for deploying networked robots in complex, real-world spaces. In the clinical domain, his 2020 randomized control trial on neurocognitive robot-assisted hand rehabilitation (107 citations) demonstrated significant motor recovery in subacute stroke patients, bridging robotic therapy with cognitive engagement. He also pioneered the ReHapticKnob, a high-fidelity haptic device for hand assessment and therapy, and developed the ETHZ Haptic Paddle, a low-cost educational tool that has transformed how students learn physical human-robot interaction. His work on assessment-driven exercise adaptation (100 citations) addresses the critical challenge of maintaining patient engagement in therapy. With over 600 total citations, Metzger’s research uniquely combines rigorous engineering with clinical validation, advancing both the science of multi-robot systems and the practice of robot-assisted rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1Voronoi coverage of non-convex environments with a group of networked robots218 citations · 2010
- 2
- 3
- 4Neurocognitive Robot-Assisted Therapy of Hand Function58 citations · 2014
- 5
- 6Physical Student–Robot Interaction With the ETHZ Haptic Paddle33 citations · 2012
- 7
- 8
- 9
- 10