Learning accurate and efficient three-finger grasp generation in clutters with an auto-annotated large-scale dataset-Reference-Cited by-同舟云学术

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Learning accurate and efficient three-finger grasp generation in clutters with an auto-annotated large-scale dataset

Published:2025-02 Issue: Volume:91 Page:102822
ISSN:0736-5845
Container-title:Robotics and Computer-Integrated Manufacturing
language:en
Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

Zhou Zhenning^ORCID,Sun Han,Wang Xi Vincent,Zhang Zhinan,Cao Qixin

Publisher

Elsevier BV

Reference56 articles.

1. Ubiquitous manufacturing system based on Cloud: a robotics application;Wang;Robot. Comput. Integr. Manuf.,2017

2. Robot learning towards smart robotic manufacturing: a review;Liu;Robot. Comput. Integr. Manuf.,2022

3. A review on reinforcement learning for contact-rich robotic manipulation tasks;Elguea-Aguinaco;Robot. Comput. Integr. Manuf.,2023

4. A digital twin-based sim-to-real transfer for deep reinforcement learning-enabled industrial robot grasping;Liu;Robot. Comput. Integr. Manuf.,2022

5. A robotic grasp detection method based on auto-annotated dataset in disordered manufacturing scenarios;Zhang;Robot. Comput. Integr. Manuf.,2022

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