The rapid advancement of 6G technology and machine learning techniques heralds a new era in wireless communications, learning, and decision-making enabled by autonomous systems. Autonomous systems, including self-driving cars, industrial robots, and drones, are becoming ubiquitous and require a combination of signal processing and machine learning techniques to handle vast amounts of data in real-time, ensuring reliability, precision, trustworthiness, and efficiency in accomplishing different complex tasks. This workshop addresses the need for advanced methodologies for information processing that integrate various domains that leverage 6G technologies, like high frequencies and large antenna arrays. Enhancing system’s performance, reliability, trustworthiness, and scalability is crucial for industries like transportation, healthcare, manufacturing, and smart cities.​ 

Topics of Interest

  • Fundamentals of multi-agent signal processing and machine learning for 6G networks.
  • Signal and graph processing for autonomous networks.
  • Integrated multi-agent communication, sensing, navigation, control, and path planning.
  • Decentralized estimation and optimization for fast close-loop control.
  • Advanced machine learning tools for real-time individual and team decision making.
  • Hybrid data- and model-based multi-agent learning.
  • Distributed machine learning methods for networks of autonomous agents.
  • Impact of network topology on the timeliness of distributed machine learning algorithms. • Model assessment and transfer learning for autonomous agents.
  • Cooperative 6G localization and mapping in networks of autonomous agents.
  • Novel techniques for fusing information in networks of autonomous agents.
  • 6G-enabled communications within networks of autonomous agents.

Organizers

  • Davide Dardari, University of Bologna, Italy
  • Petar M. Djuric, Stony Brook University, USA
  • Anna Guerra, University of Bologna, Italy
  • Francesco Guidi, National Research Council of Italy, Italy
  • Siwei Zhang, German Aerospace Center, Germany

Keynote Speakers

  • Christos Masouros, University College London, UK - "Coordinated and Learning Based Approaches for Network-level ISAC​"
  • Carlo Regazzoni, University of Genova, Italy - "Bayesian Self-awareness and Active Inference for Autonomous Wireless Agents"
This workshop is sponsored by IEEE Autonomous System Initiative (IEEE ASI)