Data-Driven Architecture to Encode Information in the Kinematics of Robots and Artificial Avatars-Reference-Cited by-同舟云学术

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Data-Driven Architecture to Encode Information in the Kinematics of Robots and Artificial Avatars

Published:2024 Issue: Volume:8 Page:1919-1924
ISSN:2475-1456
Container-title:IEEE Control Systems Letters
language:
Short-container-title:IEEE Control Syst. Lett.

Author:

Lellis Francesco De¹^ORCID,Coraggio Marco²^ORCID,Foster Nathan C.³,Villa Riccardo³^ORCID,Becchio Cristina³^ORCID,Bernardo Mario Di¹^ORCID

Affiliation:

1. Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy

2. Modeling and Engineering Risk and Complexity, Scuola Superiore Meridionale, Naples, Italy

3. Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

Funder

EU Research Project SHARESPACE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7782633/10411713/10559995.pdf?arnumber=10559995

Reference19 articles.

1. Seeing mental states: An experimental strategy for measuring the observability of other minds

2. The heaviness of invisible objects: Predictive weight judgments from observed real and pantomimed grasps

3. Kinematic priming of action predictions

4. Decision-making in sensorimotor control

5. Evaluating the relative contributions of copying and reconstruction processes in cultural transmission episodes

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