About

Joris Vaillant is a leading researcher in humanoid robotics, specializing in whole-body motion planning, multi-contact control, and multi-robot coordination. His most significant contribution lies in developing optimization-based frameworks that enable humanoid robots to perform complex, dynamic motions in non-gaited, multi-contact scenarios—such as climbing vertical ladders or navigating disaster environments. His seminal 2013 paper on generating whole-body optimal dynamic multi-contact motions (137 citations) introduced a B-spline parameterization and semi-infinite programming to solve motion planning as a nonlinear optimization problem. Vaillant also pioneered the use of quadratic programming (QP) for multi-robot and task-space force control (115 citations), extending centralized control to handle multiple robots and interaction constraints simultaneously. His work has been practically validated on the HRP-2 humanoid, notably in vertical ladder climbing (96 citations) and model preview control for multi-contact motion (91 citations). Additionally, he has explored brain-machine interfacing for whole-body control and compliant human-robot interaction for assistive tasks. Vaillant’s research bridges theoretical optimization with real-world robotic applications, making him a key figure in advancing humanoid locomotion and dexterous manipulation.

Research Focus

Key Achievements

9
H-Index
11
Papers
598
Total Citations
54
Avg Citations/Paper
🏆 Most Cited Paper
Generation of whole-body optimal dynamic multi-contact motions
137 citations · 2013
📈 Most Prolific Year: 2014 (5 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Centre National de la Recherche Scientifique, Naval Group (France), Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, National Institute of Advanced Industrial Science and Technology, Sorbonne Université

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago