Transformer-based deep imitation learning for dual-arm robot manipulation-Reference-Cited by-同舟云学术

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Transformer-based deep imitation learning for dual-arm robot manipulation

Published:2021-09-27 Issue: Volume: Page:
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Container-title:2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Kim Heecheol,Ohmura Yoshiyuki,Kuniyoshi Yasuo

Funder

University of Tokyo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9635848/9635849/09636301.pdf?arnumber=9636301

Cited by 18 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. Augmented Bodily Self in Performing a Button-Touching Task with Soft Supernumerary Robotic Arms;Journal of Robotics and Mechatronics;2024-08-20

2. AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Bi-KVIL: Keypoints-based Visual Imitation Learning of Bimanual Manipulation Tasks;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Weighting Online Decision Transformer with Episodic Memory for Offline-to-Online Reinforcement Learning;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Goal-Conditioned Dual-Action Imitation Learning for Dexterous Dual-Arm Robot Manipulation;IEEE Transactions on Robotics;2024

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