The RACE Project
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Zusammenfassung
This paper reports on the aims, the approach, and the results of the European project RACE. The project aim was to enhance the behavior of an autonomous robot by having the robot learn from conceptualized experiences of previous performance, based on initial models of the domain and its own actions in it. This paper introduces the general system architecture; it then sketches some results in detail regarding hybrid reasoning and planning used in RACE, and instances of learning from the experiences of real robot task execution. Enhancement of robot competence is operationalized in terms of performance quality and description length of the robot instructions, and such enhancement is shown to result from the RACE system.
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Hertzberg, J., Zhang, J., Zhang, L., Rockel, S., Neumann, B., Lehmann, J., Dubba, K. S., Cohn, A. G., Saffiotti, A., Pecora, F., Mansouri, M., Konečný, Š., Günther, M., Stock, S., Lopes, L. S., Oliveira, M., Lim, G. H., Kasaei, H., Mokhtari, V., Hotz, L. & Bohlken, W.,
(2014).
The RACE Project.
KI - Künstliche Intelligenz: Vol. 28, No. 4.
Springer.
(S. 297-304).
DOI: 10.1007/s13218-014-0327-y
@article{mci/Hertzberg2014,
author = {Hertzberg, Joachim AND Zhang, Jianwei AND Zhang, Liwei AND Rockel, Sebastian AND Neumann, Bernd AND Lehmann, Jos AND Dubba, Krishna S. R. AND Cohn, Anthony G. AND Saffiotti, Alessandro AND Pecora, Federico AND Mansouri, Masoumeh AND Konečný, Štefan AND Günther, Martin AND Stock, Sebastian AND Lopes, Luis Seabra AND Oliveira, Miguel AND Lim, Gi Hyun AND Kasaei, Hamidreza AND Mokhtari, Vahid AND Hotz, Lothar AND Bohlken, Wilfried},
title = {The RACE Project},
journal = {KI - Künstliche Intelligenz},
volume = {28},
number = {4},
year = {2014},
,
pages = { 297-304 } ,
doi = { 10.1007/s13218-014-0327-y }
}
author = {Hertzberg, Joachim AND Zhang, Jianwei AND Zhang, Liwei AND Rockel, Sebastian AND Neumann, Bernd AND Lehmann, Jos AND Dubba, Krishna S. R. AND Cohn, Anthony G. AND Saffiotti, Alessandro AND Pecora, Federico AND Mansouri, Masoumeh AND Konečný, Štefan AND Günther, Martin AND Stock, Sebastian AND Lopes, Luis Seabra AND Oliveira, Miguel AND Lim, Gi Hyun AND Kasaei, Hamidreza AND Mokhtari, Vahid AND Hotz, Lothar AND Bohlken, Wilfried},
title = {The RACE Project},
journal = {KI - Künstliche Intelligenz},
volume = {28},
number = {4},
year = {2014},
,
pages = { 297-304 } ,
doi = { 10.1007/s13218-014-0327-y }
}
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ISSN: 1610-1987
Datum: 2014
Typ: Text/Journal Article