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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Kluge, B., & Prassler, E. (2006). Recursive probabilistic velocity obstacles for reflective navigation. Springer Tracts in Advanced Robotics, 24, 71–79. https://doi.org/10.1007/10991459_8
Mendeley helps you to discover research relevant for your work.