2026
Safety-Aware Imitation Learning via MPC-Guided Disturbance Injection
RA-L 2026
Imitation Learning has provided a promising approach to learning complex robot behaviors from expert demonstrations. However, learned policies can make errors that lead to safety violations, which limits their deployment in safety-critical applications. We propose MPC-SafeGIL, a design-time approach