I'm a master student at Nagoya Institute of Technology and will graduate in March 2020. My interests are designs of human-computer interaction, machine learning agents for helping human, and data science related to human behaviors.
As my experiences, I belonged to the robot contest club in Nagoya Institute of Technology and controlled the automatical robot, image processing, SLAM, team management, and so on. As internships, I analyze e-mail data and medical data by Python to implement machine learning technologies and statistical analysis. My study is to propose a new protocol for human-agent interaction from the view of negotiation.
E-mail classification and tabulation. http://www.edge-consulting.jp/
Preparing for holding a PRIANAC, competition of automated negotiaiton. https://www.airc.aist.go.jp/en/project/overview.html http://web.tuat.ac.jp/~katfuji/PRIANAC2018/index.html
Learning practical Machine Learning and its environments, then giving presentations related to them. https://techlife.cookpad.com/entry/2018/08/31/093000
Analyzing the gas generated from human skin and detect the cause of disease. http://www.pico-device.co.jp/
Studying multi-agent systems. https://www.uow.edu.au/~minjie/
Studying multi-agent systems, automated negotiation.
Studying multi-agent systems.
We make robots to aim to win NHK Students Robot Contest. For example, this picture shows a badminton robot which plays automatically. My works in this club are automatical robot control, image processing, SLAM (Simultaneous Localization and Mapping), team management, and so on.
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Jupiter is a negotiation environment that implements an open architecture for automated negotiating agents. It provides a testbed for negotiating agents like Genius, a previous work about negotiation environment. Jupiter can work on Jupyter Notebook and it is easy to implement and experiment machine learning algorithms.
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