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Acquiring mobile robot behaviours by learning trajectory velocities

Ward, K; Zelinsky, Alex


The development of robots that learn from experience is a relentless challenge confronting artificial intelligence today. This paper describes a robot learning method which enables a mobile robot to simultaneously acquire the ability to avoid objects, follow walls, seek goals and control its velocity as a result of interacting with the environment without human assistance. The robot acquires these behaviors by learning how fast it should move along predefined trajectories with respect to the...[Show more]

CollectionsANU Research Publications
Date published: 2000
Type: Journal article
Source: Autonomous Robots
DOI: 10.1023/A:1008914200569


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