?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Feel+the+beat%3A+using+cross-modal+rhythm+to+integrate+perception+of+objects%2C+others%2C+and+self&rft.creator=Fitzpatrick%2C+Paul&rft.creator=Arsenio%2C+Artur&rft.subject=Machine+Vision&rft.subject=Machine+Learning&rft.subject=Robotics&rft.description=For+a+robot+to+be+capable+of+development%2C+it+must+be+able+to+explore+its+environment+and+learn+from+its+experiences.+It+must+find+(or+create)+opportunities+to+experience+the+unfamiliar+in+ways+that+reveal+properties+valid+beyond+the+immediate+context.+In+this+paper%2C+we+develop+a+novel+method+for+using+the+rhythm+of+everyday+actions+as+a+basis+for+identifying+the+characteristic+appearance+and+sounds+associated+with+objects%2C+people%2C+and+the+robot+itself.+Our+approach+is+to+identify+and+segment+groups+of+signals+in+individual+modalities+(sight%2C+hearing%2C+and+proprioception)+based+on+their+rhythmic+variation%2C+then+to+identify+and+bind+causally-related+groups+of+signals+across+different+modalities.+By+including+proprioception+as+a+modality%2C+this+cross-modal+binding+method+applies+to+the+robot+itself%2C+and+we+report+a+series+of+experiments+in+which+the+robot+learns+about+the+characteristics+of+its+own+body.&rft.publisher=Lund+University+Cognitive+Studies&rft.contributor=Berthouze%2C+Luc&rft.contributor=Kozima%2C+Hideki&rft.contributor=Prince%2C+Christopher+G.&rft.contributor=Sandini%2C+Giulio&rft.contributor=Stojanov%2C+Georgi&rft.contributor=Metta%2C+Giorgio&rft.contributor=Balkenius%2C+Christian&rft.date=2004&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F4062%2F1%2Ffitzpatrick.pdf&rft.identifier=++Fitzpatrick%2C+Paul+and+Arsenio%2C+Artur++(2004)+Feel+the+beat%3A+using+cross-modal+rhythm+to+integrate+perception+of+objects%2C+others%2C+and+self.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F4062%2F