A talent-infused policy-gradient method co-optimizes UAV morphology and learned task allocation, improving task completion over sequential design baselines in a simulated flood response scenario.
Concurrent design of control software and configuration of hardware for robot swarms under economic constraints,
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A Talent-infused Policy-gradient Approach to Efficient Co-Design of Morphology and Task Allocation Behavior of Multi-Robot Systems
A talent-infused policy-gradient method co-optimizes UAV morphology and learned task allocation, improving task completion over sequential design baselines in a simulated flood response scenario.