Joint Communication-Motion Planning in Wireless-Connected Robotic Networks: Overview and Design Guidelines. - Bo Zhang 007; Yunlong Wu 002; Xiaodong Yi 002; Xuejun Yang (CoRR, 2015)

Collaborative Communication in Multi-robot Surveillance Based on Indoor Radio Mapping. - Yunlong Wu 002; Bo Zhang 007; Xiaodong Yi 002; Yuhua Tang (CollaborateCom, 2016)

Delay-reliability tradeoff for wireless-connected indoor robot surveillance based on radio environment map. - Yunlong Wu 002; Bo Zhang 007; Chaoqun Wang; Xuefeng Chang; Xiaodong Yi 002; Yuhua Tang (PIMRC, 2016)

Communication-Motion Planning for Wireless Relay-Assisted Multi-Robot System. - Yunlong Wu 002; Bo Zhang 007; Xiaodong Yi 002; Yuhua Tang (IEEE Wirel. Commun. Lett., 2016)

Energy-efficient joint communication-motion planning for relay-assisted wireless robot surveillance. - Yunlong Wu 002; Bo Zhang 007; Shaoshi Yang; Xiaodong Yi 002; Xuejun Yang (INFOCOM, 2017)

A Survey on Multi-Robot Coordination in Electromagnetic Adversarial Environment: Challenges and Techniques. - Yunlong Wu 002; Xiaoguang Ren; Hao Zhou 009; Yanzhen Wang; Xiaodong Yi 002 (IEEE Access, 2020)

micROS.BT: An Event-Driven Behavior Tree Framework for Swarm Robots. - Yunlong Wu 002; Jinghua Li; Huadong Dai; Xiaodong Yi 002; Yanzhen Wang; Xuejun Yang (IROS, 2021)

Learning Behavior Trees by Evolution-Inspired Approaches. - Chuanshuai Deng; Chenjing Zhao; Zhenghui Liu; Jiexin Zhang; Yunlong Wu 002; Yanzhen Wang; Hong Cheng 002; Xiaodong Yi 002 (GECCO Companion, 2023)

Interpretable Reinforcement Learning of Behavior Trees. - Chenjing Zhao; Chuanshuai Deng; Zhenghui Liu; Jiexin Zhang; Yunlong Wu 002; Yanzhen Wang; Xiaodong Yi 002 (ICMLC, 2023)

A Study on Training and Developing Large Language Models for Behavior Tree Generation. - Fu Li; Xueying Wang; Bin Li; Yunlong Wu 002; Yanzhen Wang; Xiaodong Yi 002 (CoRR, 2024)

BeSimulator: A Large Language Model Powered Text-based Behavior Simulator. - Jianan Wang; Bin Li; Xueying Wang; Fu Li; Yunlong Wu 002; Juan Chen; Xiaodong Yi 002 (CoRR, 2024)

Density-aware and Cluster-based Federated Anomaly Detection on Data Streams. - Bin Li 030; Li Cheng 001; Zheng Qin 002; Yunlong Wu 002 (WSDM, 2025)