2 citations · 2 across the 3 of their papers we have counts for
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cs.RO2023
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…
cs.RO2023
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…