A Learning Approach to Multi-robot Task Allocation with Priority Constraints and Uncertainty

Multi-robot task allocation has an important impact on the efficiency of multi-robot collaboration. For single-shot allocation without complicated constraints, some exact algorithms and heuristic algorithms can find the optimal solution efficiently. However, considering the priority constraints and...

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Veröffentlicht in:	2022 IEEE International Conference on Industrial Technology (ICIT) S. 1 - 8
Hauptverfasser:	Deng, Fuqin, Huang, Huanzhao, Fu, Lanhui, Yue, Hongwei, Zhang, Jianmin, Wu, Zexiao, Lam, Tin Lun
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 22.08.2022
Schlagworte:	Approximation algorithms Deep reinforcement learning Dynamic programming Graph neural network Graph neural networks Heuristic algorithms Multi-robot task allocation Reinforcement learning Training Uncertainty
Online-Zugang:	Volltext
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