Learning Multiple Sensorimotor Units to Complete Compound Tasks using an RNN with Multiple Attractors-Reference-Cited by-同舟云学术

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Learning Multiple Sensorimotor Units to Complete Compound Tasks using an RNN with Multiple Attractors

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Kase Kei,Nakajo Ryoichi,Mori Hiroki,Ogata Tetsuya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8957008/8967518/08967780.pdf?arnumber=8967780

Cited by 7 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. Multi-step motion learning by combining learning-from-demonstration and policy-search;Advanced Robotics;2023-01-19

2. Spatio-Temporal Graph Localization Networks for Image-based Navigation;2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2022-10-23

3. Composition of Robot Motions based on the Concept of Deep Predictive Learning;Journal of the Robotics Society of Japan;2022

4. Binary Neural Network in Robotic Manipulation: Flexible Object Manipulation for Humanoid Robot Using Partially Binarized Auto-Encoder on FPGA;2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2021-09-27

5. A Force Recognition System for Distinguishing Click Responses of Various Objects;2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2021-09-27

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