In the rapidly advancing domain of intelligent robotics, generative artificial intelligence (GenAI) and 4D dynamic air-ground collaborative robotics networks are becoming increasingly synergistic. GenAI refers to machine learning techniques capable of generating novel data, strategies, or simulations, applicable to tasks such as scenario synthesis, adaptive planning, and system optimization. Meanwhile, 4D dynamic air-ground collaborative networks integrate aerial (e.g., drones) and ground robots into cohesive systems operating in spatiotemporal environments for missions like surveillance, disaster response, and logistics. This workshop investigates their mutual enhancement: GenAI advances these networks through real-time decision-making, robust path planning, and synthetic training environments, while the networks provide GenAI with rich, real world data and validation platforms for embodied intelligence. As an emerging interdisciplinary field, it remains underexplored, necessitating focused research. Additionally, this workshop also aims to consolidate and disseminate state-of-the-art contributions from academia and industry on GenAI-empowered robotics networks and network-driven GenAI innovations. Participants will gain insights into foundational principles, current trends, and future directions, fostering a comprehensive understanding of this transformative intersection for next-generation autonomous systems.
Topics (Including but not limited to)
- Generative Models for Synthetic Data and Spatio-Temporal Channel Modelling | 面向合成数据与时空信道建模的生成模型
- GenAI-Based Architecture and Protocol Design for 4D Collaborative Networks | 面向4D协同网络的基于生成式人工智能（GenAI）的架构与协议设计
- GenAI-Empowered Multi-Robot Trajectory Planning and Resource Coordination | GenAI赋能的多机器人轨迹规划与资源协调
- GenAI for Integrated Collaborative Sensing, Communication, and Computing (ISCC) | 面向集成协同感知、通信与计算（ISCC）的GenAI
- Security, Privacy, and Trust in GenAI-Empowered Robotic Networks | GenAI赋能机器人网络中的安全、隐私与信任
- Foundation Models for Cross-Domain GenAI-Empowered Robot Network Control | 面向跨域GenAI赋能机器人网络控制的基础模型
- GenAI-Powered 4D Digital Twins for Collaborative RoboticsGenAI-Powered 4D Digital Twins for Collaborative Robotics | 面向协作机器人的GenAI驱动4D数字孪生
- Distributed Edge Intelligence and Learning for GenAI-Empowered Robotic Swarms| 面向GenAI赋能机器人集群的分布式边缘智能与学习
- Trustworthiness and Explainability of AI-Generated Control Policies | AI生成控制策略的可信性与可解释性
- Open Testbeds, Datasets, and Tools for 4D Robotics Research | 面向4D机器人研究的开放测试平台、数据集与工具
Organizer: Dr. Bintao Hu, Xi’an Jiaotong-Liverpool University, China
Bintao Hu (Member, IEEE) is an Assistant Professor at the School of Internet of Things, Xi’an Jiaotong-Liverpool University, Suzhou, China. He received his B.Eng. degree in telecommunications engineering from Xiangtan University, Xiangtan, China, in 2015, M.Sc. degree in Data Communications in 2017 and Ph.D. degree in Electronic and Electrical Engineering in 2022, both from the University of Sheffield, UK. He attended the European Commission Decade project with Ranplan, Barcelona, Spain, in 2018. He received the best paper award in SMC-IoT 2023, the best oral presentation award in IEEE/ACIS ICIS 2023, and the best workshop organisation award in SMC-IoT 2023. He served as a Chair/Co-Chair of many international workshops such as IEEE VTC-Spring 2025, IEEE ICCCN 2025, IEEE VTC-Fall 2024, IEEE RFIT 2024, IEEE ICCCN 2024, etc. He served as the TPC member for many international flagship conferences such as IEEE WCNC 2025/2024, IEEE VTC-Fall 2024, IEEE PIMRC 2025/2024, IEEE VTC-Fall 2023, etc. He also served as a reviewer for many journals and international conferences, such as IEEE Transactions on Network Science and Engineering, Vehicular Communications, IEEE WCNC 2025/2024, VTC-Fall 2023, IEEE VTC-Fall 2019, etc. His current research interests include low-altitude economy communications, D2D/V2X/U2X communications, MEC, ISAC, space-air-ground integrated networks, digital twins, federated learning, and AI.
Co-organizer: Assoc. Prof. Jianbo Du, Xi’an University of Posts and Telecommunications, China
Jianbo Du (Member, IEEE) received her Ph.D. in communication and information systems from Xidian University, Xi'an, Shaanxi, China, in 2018. She was a visiting scholar at Carleton University, Canada, in 2019. She is now an associate professor with the School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications. She has published more than 70 research papers in leading journals and flagship conferences and 7 of them are ESI Top 1% highly cited papers, and her papers have been cited more than 2,900 times on Google Scholar. She was selected as the Top 2% world top scientists in 2022-2024. She hosts many projects including National Natural Science Foundation of China General Project and Youth Project. She serves as the editor of IEEE Wireless Communications Letters and IEEE Open Journal of Vehicular Technology, the guest editor of IET Communications, etc. She serves as the TPC chair/session chair of many international conferences/workshops such as 5th ECNCT 2023, IEEE VTC 2025 Spring, IEEE VTC 2024 Fall, IEEE ICCC 2024, IEEE GBC 2024, U.com 2024, IEEE ICCT 2023, SMC-IoT 2023, WCSP 2019, IEEE ICCC 2020, etc. She also serves the TPC member of many conferences, and the reviewer for more than 30 leading journals. She has been awarded the excellent reviewer of IEEE TCOM, IEEE TNSE, and IEEE CL in 2021 and 2022, and the excellent reviewer of Science China - Information Science in 2023. She received Xi'an Natural Science Excellent Academic Paper Award in 2020, Second Prize of the Science and Technology Progress Award of the China Institute of Communications in 2023, Second Prize of the Excellent Scientific and Technological Research Achievements Award of Shaanxi Higher Education Institutions in 2023, the best paper reward of 11th international conference on Mobile Networks and Management in 2021, and the best workshop organisation award in SMC-IoT 2023. Her research interests include mobile edge computing, blockchain, space-air-ground integrated networks, deep reinforcement learning, resource allocation, etc., and their applications in wireless communications.
Co-organizer: Prof. Haotong Cao, Nanjing University of Posts and Telecommunications, China
Haotong Cao (Member, IEEE, Senior Member, CIC) received the B.S. Degree in Communication Engineering from Nanjing University of Posts and Telecommunications (NJUPT) in 2015. He received the Ph.D. Degree from NJUPT, China, in 2020. He was a visiting scholar of Loughborough University, U.K. in 2017. He was the PostDoc in the Hong Kong Polytechnic University, Hong Kong, China, from 2020 to 2023. He is currently with Nanjing University of Posts and Telecommunications, China. He has served as the TPC member of multiple IEEE conferences, such as IEEE ICC, IEEE Globecom. He has published multiple technical papers since 2016, such as IEEE TII, IEEE TITS, IEEE IoT-J, IEEE TVT, IEEE TNSM, IEEE TNSE, IEEE NETWORK, IEEE CL, IEEE WCL, (Elsevier) Computer Networks, (Elsevier) Computer Communications, IEEE INFOCOM, IEEE ICC and IEEE Globecom. His research interests include 6G networks, SDN, NFV, network virtualization, convex optimization, physical layer security, UAV.
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