Babak Esmaeili

SAFE–MA–RRT: Data-Driven Safe Motion Planning for Multi-Agent Systems

This paper proposes a fully data-driven motion-planning framework for homogeneous linear multi-agent systems that operate in shared, obstacle-filled workspaces without access to explicit system models. Each agent independently learns its closed-loop behavior from experimental data by solving convex semidefinite program...