Papers

3

Total Citations

33

H-Index

3

About

J.-Y. Fourquet is a leading researcher in robotics and human motion generation, with a focus on developing control frameworks that enable anthropomorphic systems to move with human-like fluidity and precision. His major contributions center on the use of hierarchical task-based control and inverse dynamics to generate dynamic, whole-body movements under multiple constraints. Fourquet’s most cited work, “Generic dynamic motion generation with multiple unilateral constraints” (2011, 26 citations), introduces a cascade of quadratic programs that simultaneously handle robot dynamics and inequality constraints, offering a fast, modifiable, and accurate method for motion synthesis. This approach has been foundational for advancing the maneuverability and stability of robotic systems. His subsequent research extends these principles to generate human-like motion on anthropomorphic platforms, bridging the gap between robotic control and biomechanics. Fourquet’s work is notable for its practical impact on legged locomotion and manipulation, providing engineers with robust tools for real-time motion planning. With a career dedicated to solving complex constraint-based problems, his research continues to influence the fields of humanoid robotics, assistive devices, and autonomous systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
33
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Generic dynamic motion generation with multiple unilateral constraints
26 citations · 2011
📈 Most Prolific Year: 2011 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Laboratoire Génie de Production, Institut National Polytechnique de Toulouse

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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