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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 8 Similar Profiles
Robots Engineering & Materials Science
Recurrent neural networks Engineering & Materials Science
Acoustic waves Engineering & Materials Science
Speech recognition Engineering & Materials Science
Audition Engineering & Materials Science
Source separation Engineering & Materials Science
Robot Mathematics
Human robot interaction Engineering & Materials Science

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Research Output 1996 2019

  • 2197 Citations
  • 22 h-Index
  • 216 Conference contribution
  • 64 Article
  • 2 Chapter

Encoding Longer-term Contextual Sensorimotor Information in a Predictive Coding Model

Zhong, J., Ogata, T. & Cangelosi, A., 2019 Jan 28, Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. Sundaram, S. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 160-167 8 p. 8628911. (Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018).

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

Encoding
Coding
Term
Neurons
Brain

Path following algorithm for skid-steering mobile robot based on adaptive discontinuous posture control

Ibrahim, F., Abouelsoud, A. A., Fath Elbab, A. M. R. & Ogata, T., 2019 Jan 1, In : Advanced Robotics.

Research output: Contribution to journalArticle

Mobile robots
Trajectories
Controllers
State feedback
Closed loop systems

Tool-Use Model Considering Tool Selection by a Robot Using Deep Learning

Saito, N., Kim, K., Murata, S., Ogata, T. & Sugano, S., 2019 Jan 23, 2018 IEEE-RAS 18th International Conference on Humanoid Robots, Humanoids 2018. IEEE Computer Society, p. 814-819 6 p. 8625048. (IEEE-RAS International Conference on Humanoid Robots; vol. 2018-November).

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

Robots
Deep learning
Labeling

Adaptive Drawing Behavior by Visuomotor Learning Using Recurrent Neural Networks

Sasaki, K. & Ogata, T., 2018 Aug 31, (Accepted/In press) In : IEEE Transactions on Cognitive and Developmental Systems.

Research output: Contribution to journalArticle

Recurrent neural networks
Supervised learning
2 Citations (Scopus)

AFA-PredNet: The Action Modulation Within Predictive Coding

Zhong, J., Cangelosi, A., Zhang, X. & Ogata, T., 2018 Oct 10, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-July. 8489751

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

Modulation
Network coding
Experiments
Multilayer neural networks
Mobile robots