Abstract
An approach to motion planning among moving obstacles is presented, whereby obstacles are modeled as intelligent decision-making agents. The decision-making processes of the obstacles are assumed to be similar to that of the mobile robot. A probabilistic extension to the velocity obstacle approach is used as a means for navigation as well as modeling uncertainty about the moving obstacles’ decisions.
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© 2006 Springer-Verlag Berlin Heidelberg
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Kluge, B., Prassler, E. (2006). Recursive Probabilistic Velocity Obstacles for Reflective Navigation. In: Yuta, S., Asama, H., Prassler, E., Tsubouchi, T., Thrun, S. (eds) Field and Service Robotics. Springer Tracts in Advanced Robotics, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10991459_8
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DOI: https://doi.org/10.1007/10991459_8
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32801-8
Online ISBN: 978-3-540-32854-4
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