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...

Celý popis

Podrobná bibliografia

Vydané v:	2022 IEEE International Conference on Industrial Technology (ICIT) s. 1 - 8
Hlavní autori:	Deng, Fuqin, Huang, Huanzhao, Fu, Lanhui, Yue, Hongwei, Zhang, Jianmin, Wu, Zexiao, Lam, Tin Lun
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 22.08.2022
Predmet:	Approximation algorithms Deep reinforcement learning Dynamic programming Graph neural network Graph neural networks Heuristic algorithms Multi-robot task allocation Reinforcement learning Training Uncertainty
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!