Learning and Optimizing the Efficacy of Spatio-Temporal Task Allocation under Temporal and Resource Constraints
学习和优化在时间和资源约束下的时空任务分配效能
机构 * Georgia Institute of Technology, USA(佐治亚理工学院)
AI总结 本文提出E-ITAGS算法,通过主动学习高效优化多机器人系统的时空任务分配效能,同时满足时间和资源约束。
Comments The journal extension version of our conference paper: arXiv:2404.07902, which has been accepted by ISRR 2024