Distributed Autonomy Lab 

The Distributed Autonomy Laboratory (DAL) develops fundamental theory and algorithms toward identifiably resilient, computationally tractable, and provably robust and safe distributed partitioning, planning, and control methods for heterogeneous multi-agent systems. The ultimate motivation is to enable assured distributed autonomy in adverse conditions.