Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot

Limberg C, Wersing H, Ritter H (2020)
In: Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II. Yang H, Pasupa K, Leung AC-S, Kwok JT, Chan JH, King I (Eds); Lecture Notes in Computer Science, 12533. Cham: Springer International Publishing: 738-749.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Herausgeber*in
Yang, Haiqin; Pasupa, Kitsuchart; Leung, Andrew Chi-Sing; Kwok, James T.; Chan, Jonathan H.; King, Irwin
Abstract / Bemerkung
Interactive teaching from a human can be applied to extend the knowledge of a service robot according to novel task demands. This is particularly attractive if it is either inefficient or not feasible to pre-train all relevant object knowledge beforehand. Like in a normal human teacher and student situation it is then vital to estimate the learning progress of the robot in order to judge its competence in carrying out the desired task. While observing robot task success and failure is a straightforward option, there are more efficient alternatives. In this contribution we investigate the application of a recent semi-supervised confidence-based approach to accuracy estimation towards incremental object learning for an inventory assistant robot. We evaluate the approach and demonstrate its applicability in a slightly simplified, but realistic setting. We show that the configram estimation model (CGEM) outperforms standard approaches for accuracy estimation like cross-validation and interleaved test/train error for active learning scenarios, thus minimizing human training effort.
Erscheinungsjahr
2020
Titel des Konferenzbandes
Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II
forms.conference.field.series_title_volume.series_title.label
Lecture Notes in Computer Science
Band
12533
Seite(n)
738-749
Konferenz
27th International Conference, ICONIP 2020
Konferenzort
Bangkok, Thailand
Konferenzdatum
2020-11-23 – 2020-11-27
ISBN
978-3-030-63832-0
eISBN
978-3-030-63833-7
ISSN
0302-9743
eISSN
1611-3349
Page URI
https://pub.uni-bielefeld.de/record/2950093

Zitieren

Limberg C, Wersing H, Ritter H. Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot. In: Yang H, Pasupa K, Leung AC-S, Kwok JT, Chan JH, King I, eds. Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II. Lecture Notes in Computer Science. Vol 12533. Cham: Springer International Publishing; 2020: 738-749.
Limberg, C., Wersing, H., & Ritter, H. (2020). Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot. In H. Yang, K. Pasupa, A. C. - S. Leung, J. T. Kwok, J. H. Chan, & I. King (Eds.), Lecture Notes in Computer Science: Vol. 12533. Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II (pp. 738-749). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-63833-7_62
Limberg, C., Wersing, H., and Ritter, H. (2020). “Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot” in Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II, Yang, H., Pasupa, K., Leung, A. C. - S., Kwok, J. T., Chan, J. H., and King, I. eds. Lecture Notes in Computer Science, vol. 12533, (Cham: Springer International Publishing), 738-749.
Limberg, C., Wersing, H., & Ritter, H., 2020. Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot. In H. Yang, et al., eds. Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II. Lecture Notes in Computer Science. no.12533 Cham: Springer International Publishing, pp. 738-749.
C. Limberg, H. Wersing, and H. Ritter, “Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot”, Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II, H. Yang, et al., eds., Lecture Notes in Computer Science, vol. 12533, Cham: Springer International Publishing, 2020, pp.738-749.
Limberg, C., Wersing, H., Ritter, H.: Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot. In: Yang, H., Pasupa, K., Leung, A.C.-S., Kwok, J.T., Chan, J.H., and King, I. (eds.) Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II. Lecture Notes in Computer Science. 12533, p. 738-749. Springer International Publishing, Cham (2020).
Limberg, Christian, Wersing, Heiko, and Ritter, Helge. “Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot”. Neural Information Processing. 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II. Ed. Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, and Irwin King. Cham: Springer International Publishing, 2020.Vol. 12533. Lecture Notes in Computer Science. 738-749.

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