Francesco Bidoia
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Francesco Bidoia [1]
Francesco Bidoia,
an Italian computer scientist, and senior robotics engineer at Ascent Robotics, Inc., Tokyo, Japan [2].
He holds a B.Sc. degree on mechatronics, robotics, and automation engineering from University of Bologna in 2014,
and a M.Sc. degree on artificial intelligence from University of Groningen in 2017 [1],
where his research focused on autonomous robots and navigation,
in conjunction with reinforcement learning and deep learning.
Along with Matthia Sabatelli, Valeriu Codreanu and Marco Wiering, Francesco Bidoia co-authored on Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead [3].
Selected Publications
- Amirhossein Shantia, Francesco Bidoia, Lambert Schomaker, Marco Wiering (2017). Dynamic parameter update for robot navigation systems through unsupervised environmental situational analysis. IEEE Symposium Series on Computational Intelligence
- Francesco Bidoia (2017). An Autonomous Indoor Navigation System Based on Visual Scene Recognition Using Deep Neural Networks. M.Sc. thesis, University of Groningen, pdf
- Matthia Sabatelli, Francesco Bidoia, Valeriu Codreanu, Marco Wiering (2018). Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead. ICPRAM 2018, pdf
- Francesco Bidoia, Matthia Sabatelli, Amirhossein Shantia, Marco Wiering, Lambert Schomaker (2018). A Deep Convolutional Neural Network for Location Recognition and Geometry based Information. ICPRAM 2018, pdf
External Links
- Francesco Bidoia | LinkedIn
- Francesco Bidoia, M.Sc. Artificial Intelligence, University of Groningen, July 19, 2016, YouTube Video
References
- ↑ 1.0 1.1 Francesco Bidoia | LinkedIn
- ↑ Ascent.ai
- ↑ Matthia Sabatelli, Francesco Bidoia, Valeriu Codreanu, Marco Wiering (2018). Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead. ICPRAM 2018, pdf
- ↑ dblp: Francesco Bidoia
