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Learning to Achieve Different Levels of Adaptability for Human–Robot Collaboration Utilizing a Neuro-Dynamical System

  • Published:2018-09 Issue:3 Volume:10 Page:712-725
  • ISSN:2379-8920
  • Container-title:IEEE Transactions on Cognitive and Developmental Systems
  • language:
  • Short-container-title:IEEE Trans. Cogn. Dev. Syst.

Author:

Murata ShingoORCID,Li Yuxi,Arie Hiroaki,Ogata TetsuyaORCID,Sugano ShigekiORCID

Funder

JST CREST

MEXT Grant-in-Aid for Scientific Research on Innovative Areas “Constructive Developmental Science”

JSPS Grant-in-Aid for Scientific Research (S)

a JSPS Grant-in-Aid for Young Scientists (A)

Waseda University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Software

Cited by 14 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. Cognitive Analytics in Continual Learning;Cognitive Analytics and Reinforcement Learning;2024-04-12

2. Hierarchical Latent Dynamics Model with Multiple Timescales for Learning Long-Horizon Tasks;2023 IEEE International Conference on Development and Learning (ICDL);2023-11-09

3. Visual cue-aided human supervised robot navigation guidance in photometrically challenging environments using adaptive spatial-feature kernel-guided bilateral LPP;Measurement Science and Technology;2023-07-13

4. A Review on the Effectiveness of Machine Learning and Deep Learning Algorithms for Collaborative Robot;Archives of Computational Methods in Engineering;2023-05-30

5. Structured Motion Generation with Predictive Learning: Proposing Subgoal for Long-Horizon Manipulation;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29
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