J-P. Laumond
Papers
1
Total Citations
17
H-Index
1
About
Jean-Paul Laumond is a pioneering researcher in robotics whose work has significantly shaped our understanding of robot motion, autonomy, and humanoid systems. Based at LAAS-CNRS in France, his research spans robot motion planning, locomotion, and the intersection of robotics with neuroscience and biomechanics. Laumond is perhaps best known for his foundational contributions to motion planning algorithms, particularly nonholonomic motion planning, which addresses the complex constraints governing how robots — and indeed humans — move through space. His notable work with the HRP-2 humanoid robot platform, as demonstrated in his landmark study on robot autonomy and natural language task execution, showcases his ability to integrate multiple complex systems — perception, planning, and action — into coherent robotic behavior. This research exemplifies his broader ambition to bridge the gap between theoretical robotics and real-world autonomous systems. Beyond pure robotics, Laumond has pursued fascinating interdisciplinary research connecting robot locomotion models with the study of human movement, contributing to fields ranging from surgical robotics to digital animation. His accumulated citation record reflects sustained influence across the robotics community, inspiring successive generations of researchers tackling the enduring challenge of making robots move intelligently and naturally in human environments.
Research Focus
Key Achievements
Top Papers
- 1“Give me the purple ball” - he said to HRP-2 N.1417 citations · 2007