[2603.23967] Wireless communication empowers online scheduling of partially-observable transportation multi-robot systems in a smart factory

Computer Science > Machine Learning arXiv:2603.23967 (cs) [Submitted on 25 Mar 2026] Title:Wireless communication empowers online scheduling of partially-observable transportation multi-robot systems in a smart factory Authors:Yaxin Liao, Qimei Cui, Kwang-Cheng Chen, Xiong Li, Jinlian Chen, Xiyu Zhao, Xiaofeng Tao, Ping Zhang View a PDF of the paper titled Wireless communication empowers online scheduling of partially-observable transportation multi-robot systems in a smart factory, by Yaxin Liao and 7 other authors View PDF HTML (experimental) Abstract:Achieving agile and reconfigurable production flows in smart factories depends on online multi-robot task assignment (MRTA), which requires online collision-free and congestion-free route scheduling of transportation multi-robot systems (T-MRS), e.g., collaborative automatic guided vehicles (AGVs). Due to the real-time operational requirements and dynamic interactions between T-MRS and production MRS, online scheduling under partial observability in dynamic factory environments remains a significant and under-explored challenge. This paper proposes a novel communication-enabled online scheduling framework that explicitly couples wireless machine-to-machine (M2M) networking with route scheduling, enabling AGVs to exchange intention information, e.g., planned routes, to overcome partial observations and assist complex computation of online scheduling. Specifically, we determine intelligent AGVs' intention and sensor data as n...