Learning-based adaption of robotic friction models-Reference-Cited by-同舟云学术

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Learning-based adaption of robotic friction models

Published:2024-10 Issue: Volume:89 Page:102780
ISSN:0736-5845
Container-title:Robotics and Computer-Integrated Manufacturing
language:en
Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

Scholl Philipp,Iskandar Maged,Wolf Sebastian,Lee Jinoh,Bacho Aras,Dietrich Alexander,Albu-Schäffer Alin,Kutyniok Gitta

Funder

German Research Foundation

Bavarian State Ministry of Education Science and Art

Federal Ministry of Education and Research Berlin Office

Publisher

Elsevier BV

Reference48 articles.

1. Progress and prospects of the human–robot collaboration;Ajoudani;Auton. Robots,2018

2. A human-robot collaboration framework for improving ergonomics during dexterous operation of power tools;Kim;Robot. Comput.-Integr. Manuf.,2021

3. Sensor-based human–robot collaboration for industrial tasks;Angleraud;Robot. Comput.-Integr. Manuf.,2024

4. A real-time hierarchical control method for safe human–robot coexistence;Liu;Robot. Comput.-Integr. Manuf.,2024

5. Power and force limiting on industrial robots for human-robot collaboration;Aivaliotis;Robot. Comput.-Integr. Manuf.,2019

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