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Data-driven robot controllers can now achieve dramatically better tracking performance than optimized PID, while still guaranteeing stability.
Ditch explicit trajectory planning: this decentralized control framework uses virtual springs and dampers to enable safe and scalable human-robot collaboration in shared workspaces.