Arthur Haffemayer
Continental (France), Centre National de la Recherche Scientifique
Papers
3
Total Citations
9
H-Index
2
About
Arthur Haffemayer is a robotics researcher whose work sits at the intersection of optimal control, safety, and real-time motion planning. His primary research focus is on developing advanced Model Predictive Control (MPC) frameworks for robotic manipulators, with a particular emphasis on strict collision avoidance in dynamic environments. Haffemayer’s major contributions include pioneering methods to enforce hard collision avoidance constraints—such as signed distance requirements—within MPC formulations, ensuring that robotic arms can navigate cluttered spaces without compromising safety. His 2024 paper on this topic has already garnered 5 citations, highlighting its immediate relevance. He has also advanced the field by addressing the computational bottleneck of MPC through infinite-horizon value function approximation, a technique that promises to extend safety and stability guarantees without overwhelming real-time systems. Additionally, his work on velocity damper constraints offers a more robust alternative to traditional distance-based methods, preventing saturation near obstacles. Haffemayer’s research is critical for deploying autonomous robots in human environments, where safety and reactivity are paramount.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Collision Avoidance in Model Predictive Control Using Velocity Damper1 citations · 2025