Interactive Robot Task Learning: Human Teaching Proficiency with Different Feedback Approaches

Hindemith L, Bruns O, Noller AM, Hemion N, Schneider S, Vollmer A-L (2022)
IEEE Transactions on Cognitive and Developmental Systems: 1-1.

Zeitschriftenaufsatz | E-Veröff. vor dem Druck | Englisch
 
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Autor*in
Hindemith, LukasUniBi; Bruns, Oleksandra; Noller, Arthur Maximilian; Hemion, Nikolas; Schneider, SebastianUniBi ; Vollmer, Anna-LisaUniBi
Abstract / Bemerkung
The deployment of versatile robot systems in diverse environments requires intuitive approaches for humans to flexibly teach them new skills. In our present work, we investigate different user feedback types to teach a real robot a new movement skill. We compare feedback as star ratings on an absolute scale for single roll-outs versus preference-based feedback for pairwise comparisons with respective optimization algorithms (i.e., a variation of co-variance matrix adaptation -evolution strategy (CMA-ES) and random optimization) to teach the robot the game of skill cup-and-ball. In an experimental investigation with users, we investigated the influence of the feedback type on the user experience of interacting with the different interfaces and the performance of the learning systems. While there is no significant difference for the subjective user experience between the conditions, there is a significant difference in learning performance. The preference-based system learned the task quicker, but this did not influence the users’ evaluation of it. In a follow-up study, we confirmed that the difference in learning performance indeed can be attributed to the human users’ performance.
Erscheinungsjahr
2022
Zeitschriftentitel
IEEE Transactions on Cognitive and Developmental Systems
Seite(n)
1-1
ISSN
2379-8920
eISSN
2379-8939
Page URI
https://pub.uni-bielefeld.de/record/2969658

Zitieren

Hindemith L, Bruns O, Noller AM, Hemion N, Schneider S, Vollmer A-L. Interactive Robot Task Learning: Human Teaching Proficiency with Different Feedback Approaches. IEEE Transactions on Cognitive and Developmental Systems. 2022:1-1.
Hindemith, L., Bruns, O., Noller, A. M., Hemion, N., Schneider, S., & Vollmer, A. - L. (2022). Interactive Robot Task Learning: Human Teaching Proficiency with Different Feedback Approaches. IEEE Transactions on Cognitive and Developmental Systems, 1-1. https://doi.org/10.1109/TCDS.2022.3186270
Hindemith, Lukas, Bruns, Oleksandra, Noller, Arthur Maximilian, Hemion, Nikolas, Schneider, Sebastian, and Vollmer, Anna-Lisa. 2022. “Interactive Robot Task Learning: Human Teaching Proficiency with Different Feedback Approaches”. IEEE Transactions on Cognitive and Developmental Systems, 1-1.
Hindemith, L., Bruns, O., Noller, A. M., Hemion, N., Schneider, S., and Vollmer, A. - L. (2022). Interactive Robot Task Learning: Human Teaching Proficiency with Different Feedback Approaches. IEEE Transactions on Cognitive and Developmental Systems, 1-1.
Hindemith, L., et al., 2022. Interactive Robot Task Learning: Human Teaching Proficiency with Different Feedback Approaches. IEEE Transactions on Cognitive and Developmental Systems, , p 1-1.
L. Hindemith, et al., “Interactive Robot Task Learning: Human Teaching Proficiency with Different Feedback Approaches”, IEEE Transactions on Cognitive and Developmental Systems, 2022, pp. 1-1.
Hindemith, L., Bruns, O., Noller, A.M., Hemion, N., Schneider, S., Vollmer, A.-L.: Interactive Robot Task Learning: Human Teaching Proficiency with Different Feedback Approaches. IEEE Transactions on Cognitive and Developmental Systems. 1-1 (2022).
Hindemith, Lukas, Bruns, Oleksandra, Noller, Arthur Maximilian, Hemion, Nikolas, Schneider, Sebastian, and Vollmer, Anna-Lisa. “Interactive Robot Task Learning: Human Teaching Proficiency with Different Feedback Approaches”. IEEE Transactions on Cognitive and Developmental Systems (2022): 1-1.
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