Abstract
This paper describes two simple techniques that can greatly improve navigation and motion control of nonholonomic robots based on range sensor data. The first technique enhances sensory information by re-using recent sensor data through coordinate transformation, whereas the second compensates for errors due to long control cycle times by forward projection through the kinematic model of the robot. Both techniques have been succesfully tested on a Nomad 200 mobile robot.
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Lafferriere, G., Sussmann, H.: Motion planning for controllable systems without drift. In: Tarn, T. (ed.) Proceedings of the 1991 IEEE International Conference on Robotics and Automation, Sacramento, California, pp. 1148–1153. IEEE Press, Los Alamitos (1991)
Lagoudakis, M.G., Maida, A.S.: Neural maps for mobile robot navigation. In: IEEE International Joint Conference on Neural Networks (IJCNN 1999), Washington, DC, vol. III, pp. 2011–2016. IEEE Press, Los Alamitos (1999)
Luca, A.D., Oriolo, G.: Local incremental planning for nonholonomic mobile robots. In: Straub, E., Sipple, R.S. (eds.) Proceedings of the 1994 International Conference on Robotics and Automation, Los Alamitos, California, pp. 104–110. IEEE Press, Los Alamitos (1994)
Fox, D., Burgard, W., Thrun, S.: The dynamic window approach to collision avoidance. IEEE Robotics and Automation Magazine RA–4, 23–33 (1997)
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© 2006 Springer-Verlag Berlin Heidelberg
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Lagoudakis, M.G. (2006). On Improving Mobile Robot Motion Control. In: Antoniou, G., Potamias, G., Spyropoulos, C., Plexousakis, D. (eds) Advances in Artificial Intelligence. SETN 2006. Lecture Notes in Computer Science(), vol 3955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752912_66
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DOI: https://doi.org/10.1007/11752912_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34117-8
Online ISBN: 978-3-540-34118-5
eBook Packages: Computer ScienceComputer Science (R0)