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Optimization-guided diffusion not only ensures feasibility in robot control tasks but also enhances task success rates by up to 23 percentage points without retraining the model.
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.
