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A single LMI optimization framework unifies distributed k-hop observer design with robust safe controller synthesis for linear multi-agent systems, overcoming the state estimation-controller coupling challenge.
Achieving a dramatic reduction in joint-angle prediction error, the H-PAC hand demonstrates that underactuated systems can achieve high precision without complex retuning for different tasks.
Make your robot arm move like butter: this method slashes joint accelerations by an order of magnitude while nailing end-effector precision, all without touching the original RL planner.
