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LEMCA: LLM-Guided Synthesis of Efficient Mode-Switching Control Architectures
Physical control tasks in the natural world, such as driving or object manipulation, frequently exhibit dramatic variations in sensory and compute complexity over time. Correspondingly, a natural resource-efficient choice for robot control is to dynamically switch between control modes with varying
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