Future Robotics Organization

  • Japan

Research Output 2017 2019

  • 3 Conference contribution
  • 3 Article
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Conference contribution
2018
1 Citation (Scopus)

Causal patterns: Extraction of multiple causal relationships by mixture of probabilistic partial canonical correlation analysis

Mori, H., Kawano, K. & Yokoyama, H., 2018 Jan 16, Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017. Institute of Electrical and Electronics Engineers Inc., p. 744-754 11 p. (Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017; vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Partial Correlation
Canonical Correlation Analysis
Time series
Canonical Correlation
Communication

Local over-connectivity reduces the complexity of neural activity: Toward a constructive understanding of brain networks in patients with autism spectrum disorder

Ichinose, K., Park, J., Kawai, Y., Suzuki, J., Asada, M. & Mori, H., 2018 Apr 2, 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, ICDL-EpiRob 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 233-238 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Disorder
Brain
Connectivity
Small-world networks
Person
1 Citation (Scopus)

Put-in-Box Task Generated from Multiple Discrete Tasks by aHumanoid Robot Using Deep Learning

Kase, K., Suzuki, K., Yang, P. C., Mori, H. & Ogata, T., 2018 Sep 10, 2018 IEEE International Conference on Robotics and Automation, ICRA 2018. Institute of Electrical and Electronics Engineers Inc., p. 6447-6452 6 p. 8460623. (Proceedings - IEEE International Conference on Robotics and Automation).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Robots
Recurrent neural networks
Deep learning