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ROBOCUP
2000
Springer

Observation Strategy for Decision Making Based on Information Criterion

11 years 10 months ago
Observation Strategy for Decision Making Based on Information Criterion
Self localization seems necessary for mobile robot navigation. The conventional method such as geometric reconstruction from landmark observations is generally time-consuming and prone to errors. This paper proposes a method which constructs a decision tree and prediction trees of the landmark appearance that enable a mobile robot with a limited visual angle to observe efficiently and make decisions without global positioning in the environment. By constructing these trees based on information criterion, the robot can accomplish the given task efficiently. The validity of the method is shown with a four legged robot.
Noriaki Mitsunaga, Minoru Asada
Added 25 Aug 2010
Updated 25 Aug 2010
Type Conference
Year 2000
Where ROBOCUP
Authors Noriaki Mitsunaga, Minoru Asada
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