Papers
11
Total Citations
598
H-Index
9
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
Top Papers
- 1Generation of whole-body optimal dynamic multi-contact motions137 citations · 2013
- 2Quadratic Programming for Multirobot and Task-Space Force Control115 citations · 2018
- 3Multi-contact vertical ladder climbing with an HRP-2 humanoid96 citations · 2016
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- 6Vertical ladder climbing by the HRP-2 humanoid robot39 citations · 2014
- 7Brain-machine interfacing control of whole-body humanoid motion19 citations · 2014
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- 9Point-cloud multi-contact planning for humanoids: Preliminary results14 citations · 2013
- 10Multi-robot and task-space force control with quadratic programming9 citations · 2017