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Safe visuomotor control from high-resolution images is now practical at scale, thanks to a learned visual abstraction coupled with an efficient SLS solver.
Guaranteeing safety in multi-agent systems with dynamic network topologies is now possible with a plug-and-play protocol that allows agents to join or leave the network while ensuring safety recovery.
Achieve real-time online learning for model predictive control with a novel spatio-temporal Gaussian Process approximation that maintains constant computational complexity.
