Motion Design for Soil Excavation by Wheel Loaders Using Bayesian Optimization-Reference-Cited by-同舟云学术

Motion Design for Soil Excavation by Wheel Loaders Using Bayesian Optimization

Published:2024-04-15 Issue:4 Volume:37 Page:91-98
ISSN:1342-5668
Container-title:Transactions of the Institute of Systems, Control and Information Engineers
language:en
Short-container-title:Transactions of ISCIE

Author:

Muranaka Hiroaki¹,Koyama Motoki¹²,Ishikawa Masato¹

Affiliation:

1. Dept. of Mechanical Engineering, Graduate School of Engineering, Osaka University

2. Manufacturing Engineering Development Center, Komatsu Ltd.

Publisher

The Institute of Systems, Control and Information Engineers

Link

https://www.jstage.jst.go.jp/article/iscie/37/4/37_91/_pdf

Reference14 articles.

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3. [3] D. Siddharth, S. Fredrik, B. Ulf, A. Ulf and M. Torbjörn: Adaptation of a wheel loader automatic bucket filling neural network using reinforcement learning; 2020 Int'l Joint Conf. on Neural Networks (IJCNN), pp. 1–9 (2020) ISSN: 2161-4407.

4. [4] H. Jianfei, K. Dewen, G. Guangzong, C. Xinchun and C. Jinshi: Data-driven reinforcement-learning-based automatic bucket-filling for wheel loaders; Applied Sciences, Vol. 11, No. 19, p. 9191, Multidisciplinary Digital Publishing Institute (2021)

5. [5] T. Yuasa, M. Ishikawa and S. Ogawa: An optimal design methodology for the trajectory of hydraulic excavators based on genetic algorithm; J. of Robotics and Mechatronics, Vol. 33, No. 6, pp. 1248–1254 (2021)