2 papers
math.OC2026
Decentralized Contingency MPC based on Safe Sets for Nonlinear Multi-agent Collision Avoidance
Max Studt, Georg Schildbach
Decentralized collision avoidance remains challenging, particularly when agents do not communicate any information related to planned trajectories. Most existing approaches either…
eess.SY2025
Hierarchical Reinforcement Learning with Low-Level MPC for Multi-Agent Control
Max Studt, Georg Schildbach
Achieving safe and coordinated behavior in dynamic, constraint-rich environments remains a major challenge for learning-based control. Pure end-to-end learning often suffers from p…