Title :
Recursive agent modeling with probabilistic velocity obstacles for mobile robot navigation among humans
Author_Institution :
Research Inst. for Appl. Knowledge Process., Ulm, Germany
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 and modeling uncertainty about the moving obstacles´ decisions.
Keywords :
collision avoidance; human computer interaction; mobile robots; probability; decision-making processes; intelligent decision-making agents; mobile robot navigation; motion planning; probabilistic velocity obstacles; recursive agent modeling; Bismuth; Collision avoidance; Decision making; Humans; Intelligent agent; Intelligent robots; Mobile robots; Motion planning; Navigation; Process planning;
Conference_Titel :
Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on
Print_ISBN :
0-7803-7860-1
DOI :
10.1109/IROS.2003.1250657
