Resilient and Risk-Aware Multi-Robot Coordination
11:00am - 12:00pm
ZOOM Meeting ID: 939 0784 9971 Passcode: 350579

Robots are being increasingly deployed in the real world for applications such as warehouse automation, search and rescue, surveillance and reconnaissance, and environmental monitoring. However, when performing long-term tasks, robots need to deal with uncertain, changing environmental conditions. Robots may fail or if they are operating in adversarial environments, they may get attacked.


I will describe resilient coordination algorithms to cope with adversarial attacks and applications to information gathering and target tracking with aerial robots. In addition, I will show how to use ideas from stock portfolio optimization to build risk-aware robot teams that can balance the trade-off between risk and reward. Further, I will describe how to employ graph neural networks to enable large-scale, decentralized multi-robot coordination and planning. In the end, I will discuss some future work on securing robot teams against adversarial attacks and uncertainties when the robots use machine learning techniques for perceptions and communications.

ZOOM Meeting ID: 939 0784 9971 Passcode: 350579
Recommended For
Faculty and staff, PG students, UG students
Speakers / Performers:
Dr. Lifeng ZHOU
University of Pennsylvania, the General Robotics, Automation, Sensing and Perception (GRASP) Lab
Systems Hub, HKUST(GZ)
Science & Technology