INTELLIMAN. WP4. Adaptive shared autonomy. T4_3. Human intent detection for autonomy arbitration. Self supervised myocontrol. v0

Meattini, Roberto ; Caporali, Alessio ; Bernardini, Alessandra ; Palli, Gianluca ; Melchiorri, Claudio (2024) INTELLIMAN. WP4. Adaptive shared autonomy. T4_3. Human intent detection for autonomy arbitration. Self supervised myocontrol. v0. University of Bologna. DOI 10.6092/unibo/amsacta/7903. [Dataset]
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Abstract

The dataset is related a novel Human-Robot interface (HRi) based on self-supervised regression of sEMG signals, combining Non-Negative Matrix Factorization (NMF) with Deep Neural Networks (DNN) in order to both avoid explicit labeling procedures and have powerful nonlinear fitting capabilities. Experiments involving 10 healthy subjects were carried out assessing real-time control of a wearable anthropomorphic robot hand. The data were produced in the framework of Horizon Europe INTELLIMAN project and are presented in the publication: R. Meattini, A. Caporali, A. Bernardini, G. Palli and C. Melchiorri, "Self-Supervised Regression of sEMG Signals Combining Non-Negative Matrix Factorization With Deep Neural Networks for Robot Hand Multiple Grasping Motion Control," in IEEE Robotics and Automation Letters, vol. 8, no. 12, pp. 8533-8540, Dec. 2023, doi: 10.1109/LRA.2023.3329764.

Abstract
Document type
Dataset
Creators
CreatorsAffiliationORCID
Meattini, RobertoUniversity of Bologna
Caporali, AlessioUniversity of Bologna
Bernardini, AlessandraUniversity of Bologna
Palli, GianlucaUniversity of Bologna
Melchiorri, ClaudioUniversity of Bologna
Subjects
DOI
Contributors
Name
Affiliation
Type
Meattini, Roberto
University of Bologna
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Deposit date
01 Oct 2024 09:30
Last modified
01 Oct 2024 09:59
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Code
DOI
this upload is supplement to
Project name
IntelliMan - AI-Powered Manipulation System for Advanced Robotic Service, Manufacturing and Prosthetics
Funding program
EC - HE
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