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Sensorimotor Representation Learning for an “Active Self” in Robots: A Model Survey

dc.contributor.authorNguyen, Phuong D. H.
dc.contributor.authorGeorgie, Yasmin Kim
dc.contributor.authorKayhan, Ezgi
dc.contributor.authorEppe, Manfred
dc.contributor.authorHafner, Verena Vanessa
dc.contributor.authorWermter, Stefan
dc.date.accessioned2021-04-14T13:16:22Z
dc.date.available2021-04-14T13:16:22Z
dc.date.issued2021
dc.description.abstractSafe human-robot interactions require robots to be able to learn how to behave appropriately in spaces populated by people and thus to cope with the challenges posed by our dynamic and unstructured environment, rather than being provided a rigid set of rules for operations. In humans, these capabilities are thought to be related to our ability to perceive our body in space, sensing the location of our limbs during movement, being aware of other objects and agents, and controlling our body parts to interact with them intentionally. Toward the next generation of robots with bio-inspired capacities, in this paper, we first review the developmental processes of underlying mechanisms of these abilities: The sensory representations of body schema, peripersonal space, and the active self in humans. Second, we provide a survey of robotics models of these sensory representations and robotics models of the self; and we compare these models with the human counterparts. Finally, we analyze what is missing from these robotics models and propose a theoretical computational framework, which aims to allow the emergence of the sense of self in artificial agents by developing sensory representations through self-exploration.de
dc.identifier.doi10.1007/s13218-021-00703-z
dc.identifier.pissn1610-1987
dc.identifier.urihttp://dx.doi.org/10.1007/s13218-021-00703-z
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/36189
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 35, No. 1
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectAgency
dc.subjectBody schema
dc.subjectDevelopmental robotics
dc.subjectPeripersonal space
dc.subjectRobot learning
dc.titleSensorimotor Representation Learning for an “Active Self” in Robots: A Model Surveyde
dc.typeText/Journal Article
gi.citation.endPage35
gi.citation.startPage9

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