Nicolas Docquier
Papers
1
Total Citations
44
H-Index
1
About
Nicolas Docquier is a leading researcher in the fields of compliant humanoid robotics and multibody system dynamics. His most impactful work centers on the development of advanced simulation tools for robots with flexible, torque-controlled joints—a critical area for safe human-robot interaction. Docquier’s major contribution is the creation of an open-source dynamic simulator for the Compliant huMANoid robot, COMAN, detailed in his highly cited 2013 paper (44 citations). This simulator uniquely generates efficient symbolic dynamical equations for high-degree-of-freedom systems, incorporating user-defined actuator dynamics. By enabling accurate, real-time modeling of compliant robots, his work has provided the broader research community with a powerful tool for testing control algorithms and mechanical designs without costly physical prototypes. Docquier’s achievements lie at the intersection of symbolic computation and robotics, making complex multibody simulations accessible and practical. His research continues to influence the design and control of next-generation humanoid robots, bridging the gap between theoretical dynamics and real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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