Papers

11

Total Citations

150

H-Index

6

About

Jonathan Vorndamme is a robotics researcher whose work spans safe human-robot interaction, collision handling, and intelligent motion planning for complex robotic systems. He is perhaps best known for his foundational 2017 paper on collision detection, isolation, and identification for humanoid robots, which systematically decomposed the collision-handling pipeline into five distinct phases and has since accumulated 58 citations, establishing itself as a key reference in the field. His early contributions also include extending soft robotics methods — particularly impedance control and reflexive collision handling — to hydraulically actuated platforms like the Atlas robot, bridging a critical gap between classical electromechanical systems and modern compliant manipulation. More recently, Vorndamme has advanced reactive dual-arm manipulation, developing predictive multi-agent planning frameworks that enable robots to operate fluidly and safely in dynamic, human-centered environments, earning 25 citations since 2023. His work on online payload identification and multi-contact detection further reflects a commitment to making robots practically deployable in collaborative settings. Rounding out his portfolio, his research on robot reflexes and taxonomy-based decision frameworks addresses the nuanced challenge of orchestrating intelligent, context-aware responses to unforeseen collisions — a critical frontier as robots increasingly share spaces with humans.

Research Focus

Key Achievements

6
H-Index
11
Papers
150
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Collision detection, isolation and identification for humanoids
58 citations · 2017
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Leibniz University Hannover, Technical University of Munich, Robotics Research (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago