COLONY decentrally allocates tasks across an STL-structured task graph by learning agents' uncertain, use-degrading capabilities through trust-based consensus, demonstrated on Mars …
WOLF couples receding-horizon MPC with a sequential-convexification differential games solver, co-optimizing a dynamic robustness tube with the trajectory to guarantee feasibility …
FALCON solves non-convex, partially-decoupled generalized Nash equilibrium problems via sequential convex programming and a potential-game reformulation, with global convergence …
Presentation on robust autonomous mapping and the evaluation of mapping algorithm performance for unmanned undersea vehicles.