A review on reinforcement learning for contact-rich robotic manipulation tasks-Reference-Cited by-同舟云学术

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A review on reinforcement learning for contact-rich robotic manipulation tasks

Published:2023-06 Issue: Volume:81 Page:102517
ISSN:0736-5845
Container-title:Robotics and Computer-Integrated Manufacturing
language:en
Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

Elguea-Aguinaco Íñigo^ORCID,Serrano-Muñoz Antonio,Chrysostomou Dimitrios,Inziarte-Hidalgo Ibai,Bøgh Simon,Arana-Arexolaleiba Nestor

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference193 articles.

1. Industry 4.0;Lasi;Bus. Inform. Syst. Eng.,2014

2. Industry 4.0 - Market study by Global Industry Analysts, Inc.,2022

3. Collaborative Robots Market is reaching a valuation of US$ 8.65 billion by 2029,2022

4. Learning neural network policies with guided policy search under unknown dynamics;Levine;Adv. Neural Inf. Process. Syst.,2014

5. State estimation in contact-rich manipulation;Wirnshofer,2019

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