Xiaoshan Bai — accepted AI-conference papers

2021

Integrated Task Assignment and Path Planning for Capacitated Multi-Agent Pickup and Delivery

Zhe Chen, Javier Alonso-Mora, Xiaoshan Bai, Daniel Damir Harabor, Peter J. Stuckey

RA-L 2021

Multi-agent Pickup and Delivery (MAPD) is a challenging industrial problem where a team of robots is tasked with transporting a set of tasks, each from an initial location and each to a specified target location. Appearing in the context of automated warehouse logistics and automated mail sortation,

Cited by 180 Source ↗code ↗Scholar ↗

2017

Clustering-Based Algorithms for Multivehicle Task Assignment in a Time-Invariant Drift Field

Xiaoshan Bai, Weisheng Yan, Ming Cao

RA-L 2017

This paper studies the multivehicle task assignment problem where several dispersed vehicles need to visit a set of target locations in a time-invariant drift field while trying to minimize the total travel time. Using optimal control theory, we first design a path planning algorithm to minimize the

Cited by 39 Source ↗Scholar ↗