Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks

Author:

Schoettler Gerrit,Nair Ashvin,Ojea Juan Aparicio,Levine Sergey,Solowjow Eugen

Funder

Siemens

Office of Naval Research

Publisher

IEEE

Cited by 47 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Similar assembly state discriminator for reinforcement learning-based robotic connector assembly;Robotics and Computer-Integrated Manufacturing;2025-02

2. Learning-based approach to enable mobile robots to charge batteries using standard wall outlets;Intelligent Service Robotics;2024-07-22

3. SRL-VIC: A Variable Stiffness-Based Safe Reinforcement Learning for Contact-Rich Robotic Tasks;IEEE Robotics and Automation Letters;2024-06

4. 1 kHz Behavior Tree for Self-adaptable Tactile Insertion;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Bridging the Sim-to-Real Gap with Dynamic Compliance Tuning for Industrial Insertion;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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