On corridor enlargement for MPC-based navigation in cluttered environments

Turan Konyalıoğlu (1, 2) , Sorin Olaru (1) , Silviu-Iulian Niculescu (3, 4) , Iris Ballesteros-Tolosana (5) , Simon Mustaki (5)

1 CentraleSupélec
2 Technocentre Renault [Guyancourt]
3 DISCO - Dynamical Interconnected Systems in COmplex Environments
4 L2S - Laboratoire des signaux et systèmes
5 RENAULT

The construction of a space partition in a cluttered environment allows for the creation of graph-based paths, establishing safe navigation corridors for agents. Then, it exploits them according to the available control degrees of freedom and dynamical constraints. Evaluating corridor safety relies on the distance between the path points and the nearest obstacles, influencing the real-time performance and robustness of navigation. This paper revisits the convex lifting method for space partition, emphasizing the generation and enlargement of safe corridors. The iterative enlargement algorithm pursues an increase in average corridor width while ensuring a monotonic increase in the minimum corridor width.

Mots clés: Robotics; Motion control; Optimization and model predictive control

Domaines: Automatique

Turan Konyalıoğlu, Sorin Olaru, Silviu-Iulian Niculescu, Iris Ballesteros-Tolosana, Simon Mustaki. On corridor enlargement for MPC-based navigation in cluttered environments. NMPC 2024 - 8th IFAC Conference on Nonlinear Model Predictive Control, Aug 2024, Kyoto, Japan. ⟨hal-04565735⟩