Chance-constrained linear quadratic game for multi-robot interactions
From Kai Ren
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From Kai Ren
We employ a chance-constrained linear quadratic Gaussian (LQG) game approach to compute feedback control policies for multi-robot interactions, including goal-reaching and collision avoidance under system uncertainty. The experiments are repeated multiple times with randomized initial positions.