dc.creator | Chauhan A. | |
dc.creator | Nascimento A. | |
dc.creator | Werneck B. | |
dc.creator | Seabra Lopes L. | |
dc.date | 2009 | |
dc.date | 2015-06-26T13:36:29Z | |
dc.date | 2015-11-26T15:36:45Z | |
dc.date | 2015-06-26T13:36:29Z | |
dc.date | 2015-11-26T15:36:45Z | |
dc.date.accessioned | 2018-03-28T22:45:13Z | |
dc.date.available | 2018-03-28T22:45:13Z | |
dc.identifier | 3642046851; 9783642046858 | |
dc.identifier | Lecture Notes In Computer Science (including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics). , v. 5816 LNAI, n. , p. 263 - 274, 2009. | |
dc.identifier | 3029743 | |
dc.identifier | 10.1007/978-3-642-04686-5_22 | |
dc.identifier | http://www.scopus.com/inward/record.url?eid=2-s2.0-71049118629&partnerID=40&md5=245baf058509092e1ccb6255f70452ed | |
dc.identifier | http://www.repositorio.unicamp.br/handle/REPOSIP/92558 | |
dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/92558 | |
dc.identifier | 2-s2.0-71049118629 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1263507 | |
dc.description | For robots to interact with humans at the language level, it becomes fundamental that robots and humans share a common language. In this paper, a social language grounding paradigm is adopted to teach a robotic arm basic vocabulary about objects in its environment. A human user, acting as an instructor, teaches the names of the objects present in their shared field of view. The robotic agent grounds these words by associating them to visual category descriptions. A component-based object representation is presented. An instance based approach is used for category representation. An instance is described by its components and geometric relations between them. Each component is a color blob or an aggregation of neighboring color blobs. The categorization strategy is based on graph matching. The learning/grounding capacity of the robot is assessed over a series of semi-automated experiments and the results are reported. © 2009 Springer Berlin Heidelberg. | |
dc.description | 5816 LNAI | |
dc.description | | |
dc.description | 263 | |
dc.description | 274 | |
dc.description | Brady, M., Artificial Intelligence and Robotics (1985) Artificial Intelligence, 26 (1), pp. 79-121 | |
dc.description | Burgard, W., Fox, D., Hähnel, D., Lakemeyer, G., Schulz, D., Steiner, W., Thrun, S., Cremers, A.B., Real Robots for the Real World - The RHINO Museum Tour-Guide Project (1998) Proc. of the AAAI 1998 Spring Symposium on Integrating Robotics Research, Taking the Next Leap, , Stanford, CA | |
dc.description | Cunningham, C., Weber, R., Proctor, J.M., Fowler, C., Murphy, M., Investigating Graphs in Textual Case-Based Reasoning (2004) ECBR 2004, pp. 573-586 | |
dc.description | Diestel, R., (2000) Graph Theory, , Springer, Heidelberg | |
dc.description | Harnad, S., The symbol grounding problem (1990) Physica D, 42, pp. 335-346 | |
dc.description | Kennedy, W.G., Trafton, J.G., Long-Term Symbolic Learning (2007) Cognitive Systems Research, 8, pp. 237-247 | |
dc.description | Kirby, S., Hurford, J., The Emergence of Linguistic Structure: An overview of the Iterated Learning Model (2002) Simulating the Evolution of Language, pp. 121-148. , Cangelosi, A., Parisi D. (eds.) .Springer, Heidelberg | |
dc.description | Kozima, H., Nakagawa, C., Social robots for children: Practice in communication-care (2006) 9th IEEE International Workshop on Advanced Motion Control | |
dc.description | Levinson, S.E., Squire, K., Lin, R.S., McClain, M., Automatic language acquisition by an autonomous robot (2005) Proceedings of the AAAI Spring Symposium on Developmental Robotics, pp. 21-23. , March | |
dc.description | Love, N., Cognition and the language myth (2004) Language Sciences, 26, pp. 525-544 | |
dc.description | Seabra Lopes, L., Connell, J.H., Semisentient robots: Routes to integrated intelligence (2001) IEEE Intelligent Systems, 16 (5), pp. 10-14 | |
dc.description | Seabra Lopes, L., Chauhan, A., How many Words can my Robot learn? An Approach and Experiments with One-Class Learning (2007) Interaction Studies, 8 (1), pp. 53-81 | |
dc.description | Seabra Lopes, L., Chauhan, A., Silva, J., Towards long-term visual learning of object categories in human-robot interaction (2007) New Trends in Artificial Intelligence, APPIA, pp. 623-634. , Maia Neves, J.C., Santos, M.F., Machado, J.M. (eds.) | |
dc.description | Seabra Lopes, L., Chauhan, A., Open-ended category learning for language acquisition (2008) Connection Science, 8 (4) | |
dc.description | Steels, L., Language games for autonomous robots (2001) IEEE Intelligent Systems, 16 (5), pp. 16-22 | |
dc.description | Steels, L., Kaplan, F., AIBO's first words: The social learning of language and meaning (2002) Evolution of Communication, 4 (1), pp. 3-32 | |
dc.description | Steels, L., Evolving Grounded Communication for Robots (2003) Trends in Cognitive Science, 7 (7), pp. 308-312 | |
dc.description | Thomaz, A.L., Breazeal, C., Robot Learning via Socially Guided Exploration (2007) Proc. of ICDL 2006, , Imperial College, London | |
dc.description | Yu, C., The emergence of links between lexical acquisition and object categorization: A computational study (2005) Connection Science, 17 (3), pp. 381-397 | |
dc.language | en | |
dc.publisher | | |
dc.relation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
dc.rights | fechado | |
dc.source | Scopus | |
dc.title | Embodied Language Acquisition: A Proof Of Concept | |
dc.type | Actas de congresos | |