Abstract
We present control strategies for robotic herders to drive noncooperative herds. Our key insight enforces geometrical relationships that map the combined dynamics to simple two-dimensional or three-dimensional nonholonomic vehicle models. We prove convergence of single-agent herds to a goal and propose strategies for multi-agent herds, verified in simulations and experiments.
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