Abstract
In this paper we describe a new procedure to obtain the control code for a mobile robot, based on system identification: Initially, the robot is controlled by a human operator, who manually guides it through a desired sensor-motor task. The robot’s motion is then “identified” using the NARMAX system identification technique. The resulting transparent model can subsequently be used to control the movement of the robot.
Using a transparent mathematical model for robot control furthermore has the advantage that the robot’s motion can be analysed and characterised quantitatively, resulting in a better understanding of robot-environment interaction.
We demonstrate this approach to robot programming in experiments with a Magellan Pro mobile robot, using the task of door traversal as a testbed.
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© 2006 Springer-Verlag Berlin Heidelberg
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Iglesias, R., Nehmzow, U., Kyriacou, T., Billings, S. (2006). Training and Analysis of Mobile Robot Behaviour Through System Identification. In: Marín, R., Onaindía, E., Bugarín, A., Santos, J. (eds) Current Topics in Artificial Intelligence. CAEPIA 2005. Lecture Notes in Computer Science(), vol 4177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881216_49
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DOI: https://doi.org/10.1007/11881216_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45914-9
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