Control of a Ball Catch Robot Using Machine Learning
- https://doi.org/10.2991/jrnal.k.201215.005How to use a DOI?
- Machine learning, control, experiment, evaluation
Robots, such as industrial robots, have been used in the world of industry since the 1970s. There has been particularly rapid development in the field of robots in recent years, and there has been progress in robot research in industries such as communications and automobiles. For this reason, in the near future, robots with a diverse range of applications will be required around us. In this paper, as part of foundational research on robots and artificial intelligence, we propose a method for learning ball trajectories, using machine learning, to estimate target values for the distance in which robots move. In the proposed method, we use a linear regression model for supervised learning, and validate its effectiveness through experimentation.
- © 2020 The Authors. Published by Atlantis Press B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Shinichi Imai PY - 2020 DA - 2020/12 TI - Control of a Ball Catch Robot Using Machine Learning JO - Journal of Robotics, Networking and Artificial Life SP - 236 EP - 239 VL - 7 IS - 4 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.201215.005 DO - https://doi.org/10.2991/jrnal.k.201215.005 ID - Imai2020 ER -