NetLfD: Network-Aware Learning From Demonstration for In-Contact Skills via Teleoperation-Reference-Cited by-同舟云学术

NetLfD: Network-Aware Learning From Demonstration for In-Contact Skills via Teleoperation

Published:2023-11 Issue:11 Volume:8 Page:6995-7002
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Güleçyüz Başak¹^ORCID,von Büren Vincent¹^ORCID,Xu Xiao¹^ORCID,Steinbach Eckehard¹^ORCID

Affiliation:

1. Department of Computer Engineering, School of Computation, Information, and Technology, Munich Institute of Robotics and Machine Intelligence (MIRMI), Chair of Media Technology, Technical University of Munich, Munchen, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10254630/10244098.pdf?arnumber=10244098

Reference33 articles.

1. Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

2. A tutorial on task-parameterized movement learning and retrieval

3. Novel learning from demonstration approach for repetitive teleoperation tasks

4. Characterizing Input Methods for Human-to-Robot Demonstrations

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3. Demonstration Quality-based Teleoperated Learning with Visual and Haptic Data in Bandwidth-Limited Environments;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25