Collaborative Autonomy, GNNs, and Spectrum
Autonomous multi-agent UAV and UGV systems are promising for critical applications such as disaster response, logistics and transportation, supplementing cellular networks, agricultural sensing, environmental monitoring, and security and military operations. Achieving the desired multi-agent collaborative behaviors requires joint perception and information sharing over wireless links. In this talk we look at recent progress on graph neural network (GNN) approaches for learning perception-action-control (PAC) loops. This includes learning what information to share among agents that supports a team objective. Going forward, many issues arise, including how to combine learning and model-based control, achieving scalability and resilient group behavior, and melding mobility and networking. The combination of learning, modeling, and cognitive networking is a promising path to collaborative intelligent systems.
Date and Time
Location
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Registration
- Date: 06 Nov 2023
- Time: 06:30 PM to 07:30 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
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- Starts 23 October 2023 09:00 PM
- Ends 06 November 2023 05:00 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Brian M. Sadler
Biography:
Brian M. Sadler is the Senior Research Scientist for Intelligent Systems at the Army Research Laboratory (ARL). He has been an IEEE Distinguished Lecturer for the Signal Processing and Communications Societies and an editor for a variety of publications including the IEEE Transactions on Robotics, the IEEE Transactions on Signal Processing, and the IEEE Journal on Selected Areas in Communications. His research interests include multi-agent intelligent systems, networking, signal processing, and learning. He is an ARL Fellow, IEEE Life Fellow, and received the Presidential Rank Award in 2021.
Agenda
6:30 PM Welcome and introduction
6:35 PM Presentation
7:20 PM Q&A
7:30 PM Conclude