no code implementations • 8 Jan 2024 • Kai Ren, Colin Chen, Hyeontae Sung, Heejin Ahn, Ian Mitchell, Maryam Kamgarpour
We present a chance-constrained model predictive control (MPC) framework under Gaussian mixture model (GMM) uncertainty.
no code implementations • 5 Aug 2021 • Heejin Ahn, Colin Chen, Ian M. Mitchell, Maryam Kamgarpour
We develop a computationally efficient, scenario-based approach that solves the motion planning problem with high confidence given a quantifiable number of samples from the multimodal distribution.
no code implementations • 8 Dec 2016 • Heejin Ahn, Domitilla Del Vecchio
We design the supervisor to override the vehicles with a safe control input if the MILP problem that computes the upper bound yields a positive optimal cost.