Skip navigation
Skip navigation

Acquiring mobile robot behaviours by learning trajectory velocities

Ward, K; Zelinsky, Alex

Description

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
URI: http://hdl.handle.net/1885/89899
Source: Autonomous Robots
DOI: 10.1023/A:1008914200569

Download

File Description SizeFormat Image
01_Ward_Acquiring_mobile_robot_2000.pdf733.77 kBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator