2 citations · 2 across the 3 of their papers we have counts for
3 papers
Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning
Sleiman Safaoui, Abraham P. Vinod, Ankush Chakrabarty +3
We consider the problem of safe multi-agent motion planning for drones in uncertain, cluttered workspaces. For this problem, we present a tractable motion planner that builds upon…
Distributionally Robust CVaR-Based Safety Filtering for Motion Planning in Uncertain Environments
Sleiman Safaoui, Tyler H. Summers
Safety is a core challenge of autonomous robot motion planning, especially in the presence of dynamic and uncertain obstacles. Many recent results use learning and deep learning-ba…
Real-time Mixed-Integer Quadratic Programming for Vehicle Decision Making and Motion Planning
Rien Quirynen, Sleiman Safaoui, Stefano Di Cairano
We develop a real-time feasible mixed-integer programming-based decision making (MIP-DM) system for automated driving. Using a linear vehicle model in a road-aligned coordinate fra…