A framework for simultaneous task allocation and planning under uncertainty
We present novel techniques for simultaneous task allocation and planning in multi-robot systems operating under uncertainty. By performing task allocation and planning simultaneously, allocations are informed by individual robot behaviour, creating more efficient team behaviour. We go beyond existi...
Главные авторы: | , , , |
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Формат: | Journal article |
Язык: | English |
Опубликовано: |
Association for Computing Machinery
2024
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