dc.creator | Adams, Samantha V. | es |
dc.creator | Rast, Alexander D. | es |
dc.creator | Patterson, Cameron | es |
dc.creator | Gallupi, Francesco | es |
dc.creator | Brohan, Kevin | es |
dc.creator | Pérez Carrasco, José Antonio | es |
dc.creator | Wennekers, Thomas | es |
dc.creator | Furber, Steve B. | es |
dc.creator | Cangelosi, Angelo | es |
dc.date.accessioned | 2018-10-29T16:54:22Z | |
dc.date.available | 2018-10-29T16:54:22Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Adams, S.V., Rast, A.D., Patterson, C., Gallupi, F., Brohan, K., Pérez Carrasco, J.A.,...,Cangelosi, A. (2014). Towards Real-World Neurorobotics: Integrated Neuromorphic Visual Attention. Lectures notes in computer science, 8836, 563-570. | |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/79684 | |
dc.description | Neural Information Processing: 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III | es |
dc.description.abstract | Neuromorphic hardware and cognitive robots seem like an obvious fit,
yet progress to date has been frustrated by a lack of tangible progress in achieving
useful real-world behaviour. System limitations: the simple and usually proprietary
nature of neuromorphic and robotic platforms, have often been the fundamental
barrier. Here we present an integration of a mature “neuromimetic” chip,
SpiNNaker, with the humanoid iCub robot using a direct AER - address-event
representation - interface that overcomes the need for complex proprietary protocols
by sending information as UDP-encoded spikes over an Ethernet link. Using
an existing neural model devised for visual object selection, we enable the robot
to perform a real-world task: fixating attention upon a selected stimulus. Results
demonstrate the effectiveness of interface and model in being able to control the
robot towards stimulus-specific object selection. Using SpiNNaker as an embeddable
neuromorphic device illustrates the importance of two design features in a
prospective neurorobot: universal configurability that allows the chip to be conformed
to the requirements of the robot rather than the other way ’round, and stan-
dard interfaces that eliminate difficult low-level issues of connectors, cabling,
signal voltages, and protocols. While this study is only a building block towards
that goal, the iCub-SpiNNaker system demonstrates a path towards meaningful
behaviour in robots controlled by neural network chips. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Springer Verlag | es |
dc.relation.ispartof | Lectures notes in computer science, 8836, 563-570. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Cognitive | es |
dc.subject | Robotics | es |
dc.subject | Neuromorphic | es |
dc.title | Towards Real-World Neurorobotics: Integrated Neuromorphic Visual Attention | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-12643-2_68 | es |
dc.identifier.doi | 10.1007/978-3-319-12643-2_68 | es |
idus.format.extent | 8 p. | es |
dc.journaltitle | Lectures notes in computer science | es |
dc.publication.volumen | 8836 | es |
dc.publication.initialPage | 563 | es |
dc.publication.endPage | 570 | es |