Visuo-Tactile Face Representation through Self-induced Motor Activity
نویسندگان
چکیده
This paper presents a learning model that enables a robot to acquire body representation for its face which is invisible to itself while the robot touches it. Two processes are simultaneously carried out: self-organization of tactile sensor unit configuration though the visuo-tactile sensations by self-induced motor behaviors, and facial part detection based on the discontinuity of sensor values.
منابع مشابه
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