Tensor-variate mixture of experts for proportional myographic control of a robotic hand

Jaquier N, Haschke R, Calinon S (2021)
Robotics and Autonomous Systems 142: 103812.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Jaquier, Noemie; Haschke, RobertUniBi ; Calinon, Sylvain
Abstract / Bemerkung
When data are organized in matrices or arrays of higher dimensions (tensors), classical regression methods first transform these data into vectors, therefore ignoring the underlying structure of the data and increasing the dimensionality of the problem. This flattening operation typically leads to overfitting when only few training data is available. In this paper, we present a mixture-of-experts model that exploits tensorial representations for regression of tensor-valued data. The proposed formulation takes into account the underlying structure of the data and remains efficient when few training data are available. Evaluation on artificially generated data, as well as offline and real-time experiments recognizing hand movements from tactile myography prove the effectiveness of the proposed approach. (C) 2021 Elsevier B.V. All rights reserved.
Stichworte
Tensor methods; Mixture of experts; Generalized linear model; Tactile; myography
Erscheinungsjahr
2021
Zeitschriftentitel
Robotics and Autonomous Systems
Band
142
Art.-Nr.
103812
ISSN
0921-8890
eISSN
1872-793X
Page URI
https://pub.uni-bielefeld.de/record/2956014

Zitieren

Jaquier N, Haschke R, Calinon S. Tensor-variate mixture of experts for proportional myographic control of a robotic hand. Robotics and Autonomous Systems. 2021;142: 103812.
Jaquier, N., Haschke, R., & Calinon, S. (2021). Tensor-variate mixture of experts for proportional myographic control of a robotic hand. Robotics and Autonomous Systems, 142, 103812. https://doi.org/10.1016/j.robot.2021.103812
Jaquier, N., Haschke, R., and Calinon, S. (2021). Tensor-variate mixture of experts for proportional myographic control of a robotic hand. Robotics and Autonomous Systems 142:103812.
Jaquier, N., Haschke, R., & Calinon, S., 2021. Tensor-variate mixture of experts for proportional myographic control of a robotic hand. Robotics and Autonomous Systems, 142: 103812.
N. Jaquier, R. Haschke, and S. Calinon, “Tensor-variate mixture of experts for proportional myographic control of a robotic hand”, Robotics and Autonomous Systems, vol. 142, 2021, : 103812.
Jaquier, N., Haschke, R., Calinon, S.: Tensor-variate mixture of experts for proportional myographic control of a robotic hand. Robotics and Autonomous Systems. 142, : 103812 (2021).
Jaquier, Noemie, Haschke, Robert, and Calinon, Sylvain. “Tensor-variate mixture of experts for proportional myographic control of a robotic hand”. Robotics and Autonomous Systems 142 (2021): 103812.

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®

Suchen in

Google Scholar