The learning and use of traversability affordance using range images on a mobile robot
Ugur, E.
Dogar, M.R.
Cakmak, M.
Sahin, E.
Dept. of Comput. Eng., Middle East Tech. Univ., Ankara;
This paper appears in: Robotics and Automation, 2007 IEEE International Conference on
Publication Date: 10-14 April 2007
On page(s): 1721-1726
Location: Roma,
ISSN: 1050-4729
ISBN: 1-4244-0601-3
INSPEC Accession Number: 9517484
Digital Object Identifier: 10.1109/ROBOT.2007.363571
Current Version Published: 2007-05-21
Abstract
We are interested in how the concept of affordances can affect our view to autonomous robot control, and how the results obtained from autonomous robotics can be reflected back upon the discussion and studies on the concept of affordances. In this paper, we studied how a mobile robot, equipped with a 3D laser scanner, can learn to perceive the traversability affordance and use it to wander in a room tilled with spheres, cylinders and boxes. The results showed that after learning, the robot can wander around avoiding contact with non-traversable objects (i.e. boxes, upright cylinders, or lying cylinders in certain orientation), but moving over traversable objects (such as spheres, and lying cylinders in a rollable orientation with respect to the robot) rolling them out of its way. We have shown that for each action approximately 1% of the perceptual features were relevant to determine whether it is afforded or not and that these relevant features are positioned in certain regions of the range image. The experiments are conducted both using a physics-based simulator and on a real robot.
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