Bo Cao — accepted AI-conference papers

2025

Foresee and Act Ahead: Task Prediction and Pre-Scheduling Enabled Efficient Robotic Warehousing

Bo Cao, Zhe Liu, Xingyao Han, Shunbo Zhou, Heng Zhang, Lijun Han +2

ICRA 2025

In warehousing systems, to enhance efficiency amid surging demand volumes, much attention has been placed on how to reasonably allocate tasks of delivery to robots. However, the labor of robots is still inevitably wasted to some extent. In this paper, we propose a pre-scheduling enhanced warehousing

Cited by 1 Source ↗Scholar ↗

2024

Toward Universal and Scalable Road Graph Partitioning for Efficient Multi-Robot Path Planning

Xingyao Han, Bo Cao, Zhe Liu, Shunbo Zhou, Heng Zhang, Hesheng Wang

IROS 2024

To date, multi-robot path planning has primarily been addressed by centralized solvers, typically aiming to maintain optimality. However, given its NP-hard nature, directly applying existing solvers in large and complex scenarios proves inefficient. A promising alternative lies in adopting a divide-

Cited by 1 Source ↗Scholar ↗