With the rapid convergence of modern wireless communications, artificial intelligence, and autonomous robotics, Embodied AI, represented by drones, quadruped robots, and autonomous vehicles, is transitioning from theoretical models to real-world applications. Endowing these embodied agents with robust perception and precise recognition capabilities in complex radio environments has become a crucial bottleneck for their safe operation and seamless collaboration. This special session focuses on cutting-edge research at the intersection of wireless sensing, intelligent identification, and embodied systems. It aims to explore innovative theories, signal processing techniques, and AI-driven methodologies tailored for wireless perception and device/behavior recognition. Key topics include radio frequency (RF) fingerprinting and device authentication, integrated sensing, communication, and identification (ISACI), foundation models and deep learning for spectrum cognition, and cooperative wireless sensing in multi-agent systems. By bringing together researchers and practitioners from wireless communications, signal processing, and robotics, this session provides a dedicated platform to present breakthrough ideas, exchange emerging testbed paradigms, and discuss future challenges in building resilient, intelligent, and context-aware embodied wireless systems.

While regular IEEE ICC technical sessions cover general wireless sensing (e.g., ISAC) or broad AI applications in communications, they typically treat target sensing, data communication, and signal recognition as isolated tasks. Furthermore, mainstream wireless research predominantly assumes static or predictable transceiver terminals, failing to address the unique dynamics, spatial mobility, and strict security constraints inherent to Embodied AI systems. This special session directly addresses these critical gaps through three distinctive aspects: (1) New Research Paradigm (Cross-Layer & Cross-Domain): Unlike traditional physical-layer sensing or upper-layer AI algorithms, this session bridges wireless signal processing with physical-world embodiment. It explores how embodied agents (e.g., drones, quadrupedal robots) leverage RF characteristics—such as radio frequency fingerprinting (RFFI) and channel state information (CSI)—to achieve joint "sensing-identification-control" in dynamic, non-line-of-sight, or adversarial environments. (2) Emerging AI Metrology (Foundation Models for Wireless): While standard sessions focus on classical deep learning, this session emphasizes the integration of foundation models, large language/multimodal models, and edge-deployed AI tailored for high-dimensional wireless spectrum cognition and zero-shot device identification. (3) Multi-Agent Co-Design & Trustworthiness: Beyond point-to-point wireless sensing, this topic focuses on cooperative perception, decentralized trust, and physical-layer authentication among autonomous multi-agent swarms. By unifying physical-layer RF features, advanced AI methodologies, and autonomous robotic platforms into a holistic framework, this session addresses a timely interdisciplinary challenge that falls outside the boundaries of any single regular track, creating a dedicated forum to spark cross-field innovation.

Topics:
1. Wireless Device Identification and Authentication for Embodied Agents
2. Radio Frequency (RF) Signal Processing and Cognitive Spectrum Sensing
3. AI and Foundation Models for Wireless Sensing and Identification
4. Integrated Sensing, Communication, and Identification (ISACI)
5. Wireless Environment Sensing, Localization, and Mapping
6. Human-Agent and Agent-Agent Interaction via Wireless Sensing
7. Distributed and Cooperative Wireless Sensing in Multi-Agent Systems
8. Robust Sensing and Identification in Complex/Dynamic Environments
9. Lightweight and On-Device AI Models for Embodied Wireless Sensing
10.Open Datasets, Hardware Testbeds, and Prototyping for Embodied AI

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Short Biography of Organizers

Tiantian Tang (Member, IEEE) is a Full Professor at Nanjing University of Posts and Telecommunications (NJUPT) and serves as a Science and Technology Vice President of Jiangsu Province. Her research interests focus on the Internet of Things (IoT), communication networks, and intelligent information processing. She has led 4 provincial and national-level research projects—including the National Natural Science Foundation of China (NSFC) Young Scientists Fund—as well as 2 industry-collaborative projects. Prof. Tang has authored over 40 high-level papers in prestigious journals such as IEEE TWC, IEEE TCCN, and IEEE TIFS. She serves on the editorial boards of international journals including IEEE Internet of Things Journal and KSII Transactions on Internet and Information Systems. Additionally, she was a Session Chair for ICICC 2025, Session Host for IEEE ICCT 2023 and RICAI 2024, and recipient of the ICICC 2025 Outstanding Contribution Award.

Yun Lin (Senior Member, IEEE) received the B.S. degree in electrical engineering from Dalian Maritime University, Dalian, China, in 2003, the M.S. degree in communication and information system from Harbin Institute of Technology, Harbin, China, in 2005, and the Ph.D. degree in communication and information system from Harbin Engineering University, Harbin, in 2010. From 2014 to 2015, he was a Research Scholar with Wright State University, Dayton, OH, USA. He is currently a Full Professor with the College of Information and Communication Engineering, Harbin Engineering University. He has authored or co-authored more than 200 international peer-reviewed journal/conference papers, such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Communications, IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Transactions on Cognitive Communications and Networking, TR, INFOCOM, GLOBECOM, ICC, VTC, and ICNC. His current research interests include machine learning and data analytics over wireless networks, signal processing and analysis, cognitive radio and software-defined radio, artificial intelligence, and pattern recognition.

Jingon Joung (Senior Member, IEEE) received the B.S. degree in radio communication engineering from Yonsei University, Seoul, South Korea, in 2001, and the M.S. and Ph.D. degrees in electrical engineering and computer science from KAIST, Daejeon, South Korea, in 2003 and 2007, respectively. He was a Postdoctoral Fellow with KAIST, in 2007, and UCLA, CA, USA, in 2008. He was a Scientist with the Institute for Infocomm Research (I2R), Agency for Science, Technology, and Research (A*STAR), Singapore, from 2009 to 2015. He joined Chung-Ang University (CAU), Seoul, in 2016, as a Faculty Member. He is currently a Full Professor with the School of Electrical and Electronics Engineering, CAU, where he is also the Principal Investigator of the Intelligent Wireless Systems (IWS) Laboratory and the Next-Generation Intelligent Sensing and Communication (NISC) Laboratory. His research interests include signal processing, numerical analysis, and algorithms. He received the First Prize of the Intel-ITRC Student Paper Contest, in 2006. He was recognized as the Exemplary Reviewer of IEEE Communications Letters, in 2012, and IEEE Wireless Communications Letters, from 2012 to 2014 and in 2019. He served as a Guest Editor for IEEE Access, in 2016, Electronics, and Sensors, in 2019. He served on the Editorial Board for APSIPA Transactions on Signal and Information Processing, from 2014 to 2019. He also served as an Associate Editor for IEEE Transactions on Vehicular Technology, from 2018 to 2023, and a Top Editor, in 2021. He is the inventor of a Space–Time Line Code (STLC), a fully symmetric scheme to a space–time block code.

Tomoaki Ohtsuki (Senior Member, IEEE) received the B.E., M.E., and Ph.D. degrees in electrical engineering from Keio University, Yokohama, Japan, in 1990, 1992, and 1994, respectively. From 1994 to 1995, he was a Post-Doctoral Fellow and a Visiting Researcher in electrical engineering with Keio University. From 1993 to 1995, he was a Special Researcher of Fellowships of Japan Society for the Promotion of Science for Japanese Junior Scientists. From 1995 to 2005, he was with the Science University of Tokyo. In 2005, he joined Keio University. He is currently a Professor with Keio University. He is engaged in research on wireless communications, optical communications, signal processing, and information theory. He is a fellow of IEICE and Asia-Pacific Artificial Intelligence Association (AAIA) and a member of the Engineering Academy of Japan. He served as the Vice President and the President of the Communications Society of IEICE. He was the Director of the IEEE ComSoc Asia Pacific Board. He has chaired the IEEE Communications Society, Signal Processing for Communications and Electronics Technical Committee. He has served as a Technical Editor for IEEE Wireless Communications Magazine and an Editor for Physical Communications (Elsevier). He is currently an Area Editor of IEEE Transactions on Vehicular Technology and an Editor of IEEE Communications Surveys and Tutorials. He was a Distinguished Lecturer of IEEE.

Daying Quan (Senior Member, IEEE) received the B.S. degree in automatic control and the M.S. degree in information and communication engineering from Xi’dian University, Xi’an, China, in 2001 and 2004, respectively. He was with Hangzhou Silan Microelectronics Company, Ltd. from 2004 to 2008. He was with Eastern Communications Company, Ltd., and had been working on professional communication systems from 2009 to 2014. In 2014, he joined China Jiliang University and is now working on wireless signal processing and intelligent wireless sensing.