← Search

Thierry Simeon

2 accepted papers

2026

Robust Sensitivity-Aware Chance-Constrained MPC for Efficient Handling of Multiple Uncertainty Sources

ICRA 2026poster

Robust motion planning under uncertainty is a critical challenge for applications involving real-world robotic deployments. This paper introduces SupeR-MPC, a computationally-efficient, sensitivity-aware, chance-constrained optimization framework that systematically accounts for multiple sources of …

Cited by 0SourceScholar
2025

Learning Geometric Reasoning Networks For Robot Task And Motion Planning

ICLR 2025poster

Task and Motion Planning (TAMP) is a computationally challenging robotics problem due to the tight coupling of discrete symbolic planning and continuous geometric planning of robot motions. In particular, planning manipulation tasks in complex 3D environments leads to a large number of costly geomet…

Cited by 0SourcePDFScholar