Collective robotics: Multi-robot coordination in complex environments

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Collective robotics: Multi-robot coordination in complex environments

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  • As 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. 

    This live event includes a 15-minute networking event hosted on the AI for Good Neural Network. This is your opportunity to ask questions, interact with the panelists and participants and build connections with the AI for Good community.

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    • Days
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    • Start date
      6 December 2022 at 16:00 CET, Geneva | 22:00-23:30 CST, Beijing | 10:00-11:30 EST, New York
    • End date
      6 December 2022 at 17:30 CET, Geneva | 22:00-23:30 CST, Beijing | 10:00-11:30 EST, New York
    • Duration
      90 minutes (including 15 minutes networking)
    • Programme stream
    • UN SDGs