Yongtao Qiu — accepted AI-conference papers

2025

Communication-Efficient Decentralized Task Allocation for Large-Scale Multi-Agent Systems

Shengli Wang, Simin Li, Yafan Huangfu, Yongtao Qiu, Youjiang Liu

RA-L 2025

This letter presents a novel method to solve the decentralized task allocation problem for large-scale multi-agent systems (MASs), with an emphasis on communication efficiency. Conventional methods typically depend on sharing the localized task allocation plans of various agents across a communicati

Cited by 0 Source ↗Scholar ↗

2022

Consensus-Based Decentralized Task Allocation for Multi-Agent Systems and Simultaneous Multi-Agent Tasks

Shengli Wang, Youjiang Liu, Yongtao Qiu, Jie Zhou

RA-L 2022

This letter proposes a novel consensus-based timetable algorithm (CBTA) to solve the decentralized simultaneous multi-agent task allocation problem. Due to the limited capability of each agent, multiple agents may be required to perform a task simultaneously. A key challenge is how to meet the requi

Cited by 31 Source ↗Scholar ↗