University of Birmingham > Talks@bham > Artificial Intelligence and Natural Computation seminars > Long-Term Autonomy in Everyday Environments: A New Challenge for AI and Robotics

Long-Term Autonomy in Everyday Environments: A New Challenge for AI and Robotics

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If you have a question about this talk, please contact Hector Basevi.

Host: Prof. Aaron Sloman

Speaker’s homepage: http://www.cs.bham.ac.uk/~nah/

Abstract: The performance of autonomous robots, i.e. robots that can make their own decisions and choose their own actions, is becoming increasingly impressive, but most of them are still constrained to labs, or controlled environments. In addition to this, these robots are typically only able to do intelligent things for a short period of time, before either crashing (physically or digitally) or running out of things to do. In order to go beyond these limitations, and to deliver the kind of autonomous service robots required by society, we must conquer the challenge of combining artificial intelligence and robotics to develop systems capable of long-term autonomy in everyday environments. This talk will present recent progress in this direction, focussing on the mobile robots for security and care domains developed by the EU-funded STRANDS project (http://strands-project.eu) which have so far completed over 106 days of autonomy in real service environments.

This talk is part of the Artificial Intelligence and Natural Computation seminars series.

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