Yixian Zhao — accepted AI-conference papers

2025

CoCoL: A Communication Efficient Decentralized Collaborative Learning Method for Multi-Robot Systems

Jiaxin Huang, Yan Huang, Yixian Zhao, Wenchao Meng, Jinming Xu

IROS 2025

Collaborative learning enhances the performance and adaptability of multi-robot systems in complex tasks but faces significant challenges due to high communication overhead and data heterogeneity inherent in multi-robot tasks. To this end, we propose CoCoL, a Communication efficient decentralized Co

Cited by 1 Source ↗Scholar ↗

2025

TaskExp: Enhancing Generalization of Multi-Robot Exploration with Multi-Task Pre-Training

Shaohao Zhu, Yixian Zhao, Yang Xu, Anjun Chen, Jiming Chen, Jinming Xu

ICRA 2025

We aim to develop a general multi-agent reinforcement learning (MARL) policy that enables a group of robots to efficiently explore large-scale, unknown environments with random pose initialization. Existing MARL-based multi-robot exploration methods face challenges in reliably mapping observations t

Cited by 1 Source ↗Scholar ↗