Collective robotics: Multi-robot coordination in complex environments | AI for Good
0As we witness the shift from individual robots to collectives of robots working together in a shared environment under minimal human supervision. Multiple robots physically collaborating with each other are capable of performing highly versatile tasks, with greater potential to accelerate progress towards the Sustainable Development Goals.
Despite the great promise of multi-robot systems (MRS), challenges related to information sharing and communication, or task assignment need to be addressed to enable effective real-time coordination of robots to achieve common goals. In addition, robots should be able to learn from their operations and interactions over time to ensure they can adapt to failures and environmental uncertainty.
In this AI for Good webinar explore the latest technologies that enable robot-robot teamwork and how autonomous, multi-robot systems are able to interact and to manipulate their shared environment to support humans.
Speakers:
Amanda Prorok
Associate Professor, Department of Computer Science and Technology
University of Cambridge
Maria Gini
Professor
University of Minnesota
Rachid Alami
Senior Scientist
LAAS-CNRS
Ani Hsieh
Associate Professor
University of Pennsylvania
Moderator(s):
Herbert Tanner
Professor of Mechanical Engineering
University of Delaware
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