NEWS    MERL Researchers Demonstrate New Model-Based AI Learning Technology for Equipment Control

Date:

February 14, 2018

Where:

Tokyo, Japan

Description:

New technology for model-based AI learning for equipment control was demonstrated by MERL researchers at a recent press release event in Tokyo. The AI learning method constructs predictive models of the equipment through repeated trial and error, and then learns control rules based on these models. The new technology is expected to significantly reduce the cost and time needed to develop control programs in the future. Please see the link below for the full text of the Mitsubishi Electric press release.

External Link:

http://www.mitsubishielectric.com/news/2018/0214-b.html
http://www.mitsubishielectric.co.jp/news/2018/pdf/0214-b.pdf
http://www.mitsubishielectric.com/news/2018/pdf/0214-b.pdf
https://www.zaikei.co.jp/article/20180218/427264.html
http://monoist.atmarkit.co.jp/mn/articles/1802/16/news045.html
https://newspicks.com/news/2831494/

Research Areas:

Optimization, Computer Vision

• Related Publications

   Jha, D.K., Yerazunis, W.S., Nikovski, D.N., Farahmand, A.-M., "Learning to Regulate Rolling Ball Motion", IEEE Symposium on Computational Intelligence in Engineering Solutions, DOI: 10.1109/​SSCI.2017.8285376, November 2017.

  BibTeX TR2017-176 PDF

  • @inproceedings{Jha2017nov,
  • author = {Jha, Devesh K. and Yerazunis, William S. and Nikovski, Daniel N. and Farahmand, Amir-massoud},
  • title = {Learning to Regulate Rolling Ball Motion},
  • booktitle = {IEEE Symposium on Computational Intelligence in Engineering Solutions},
  • year = 2017,
  • month = nov,
  • doi = {10.1109/SSCI.2017.8285376},
  • url = {https://www.merl.com/publications/TR2017-176}
  • }