Construction of dependency-network of image features using evaluation of occlusion for robot’s bottom-up state discrimination
نویسنده
چکیده
This paper discuss an improvement of that robot acquires a knowledge of environment by interacting with objects without designer’s knowledge. The knowledge is acquired by moving its arm slightly around an object and calculating affordances probabilistically through the behavior of feature points in images of environment. Specifically, the robot distinguish whether its arm is occluded by an object. The proposed method was verified through experiment of network construction.
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