{"pk":31872,"title":"Abstraction of Sensory-Motor Features","subtitle":null,"abstract":"This paper presents a way that enables robots to learn abstract concepts from sensory/perceptual data. In order to overcome the gap between the low-level sensory data cind higher-level concept description, a method called feature abstraction is used. Feature abstraction dynamically defines abstract sensors from primitive sensory devices and makes it possible to learn appropriate sensory-motor constraints. This method has been implemented on a reed mobile robot as a learning system called ACORN-II. ACORN-II was evaluated with some empirical results eind shown that the system can learn some abstract concepts more accurately than other existing systems.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Refereed Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/7ch1z974","frozenauthors":[{"first_name":"Kazuo","middle_name":"","last_name":"Hiraki","name_suffix":"","institution":"ElectrotechinaJ Laboratory 1-1-4 Umezono, Tsukuba, Ibaraki, 305 Japan","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1994-01-01T21:00:00+03:00","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/31872/galley/22939/download/"}]}