Spatio-temporal prediction of soil deformation in bucket excavation using machine learning
Author:
Affiliation:
1. Department of Mechanical Engineering, Keio University, Yokohama, Kanagawa, Japan
2. Komatsu Ltd., Hiratsuka, Kanagawa, Japan
Publisher
Informa UK Limited
Subject
Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/01691864.2021.1943521
Reference20 articles.
1. Hui S, Yamamoto H, Sakaida Y, et al. Automatic excavation planning of hydraulic excavator. In: Xiong C, Liu H, Huang Y, et al., editors, Intelligent robotics and applications. ICIRA 2008. Berlin: Springer-Verlag; 2008. p. 1201–1211. (Lecture Notes in Computer Science; Vol. 5315).
2. Approximate Prediction of Soil Deformation Under Drained-Repeated Loading
3. Investigation of Efficiency Improvement in Digging Operation for Hydraulic Excavators
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