Difficulty-aware time-bounded planning under uncertainty for large-scale robot missions
We consider planning problems where a robot must visit a large set of locations to complete a task at each one. Our focus is problems where the difficulty of each task, and thus its duration, can be predicted, but not fully known in advance. We propose a general Markov decision process (MDP) model f...
| Những tác giả chính: | , , , , |
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| Định dạng: | Conference item |
| Ngôn ngữ: | English |
| Được phát hành: |
IEEE
2023
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