20 citations · 49 across the 19 of their papers we have counts for
3 papers · 1 filter
SPOCK: A proximal method for multistage risk-averse optimal control problems
Alexander Bodard, Ruairi Moran, Mathijs Schuurmans +2
Risk-averse optimal control problems have gained a lot of attention in the last decade, mostly due to their attractive mathematical properties and practical importance. They can be…
Interaction-aware Model Predictive Control for Autonomous Driving
Renzi Wang, Mathijs Schuurmans, Panagiotis Patrinos
Lane changing and lane merging remains a challenging task for autonomous driving, due to the strong interaction between the controlled vehicle and the uncertain behavior of the sur…
Safe, Learning-Based MPC for Highway Driving under Lane-Change Uncertainty: A Distributionally Robust Approach
Mathijs Schuurmans, Alexander Katriniok, Christopher Meissen +2
We present a case study applying learning-based distributionally robust model predictive control to highway motion planning under stochastic uncertainty of the lane change behavior…