Simulation-based Reinforcement Learning Approach towards Construction Machine Automation-Reference-Cited by-同舟云学术

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Simulation-based Reinforcement Learning Approach towards Construction Machine Automation

Published:2020-10-14 Issue: Volume: Page:
ISSN:2413-5844
Container-title:Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC)
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Author:

Matsumoto Keita,Yamaguchi Atsushi,Oka Takahiro,Yasumoto Masahiro,Hara Satoru,Iida Michitaka,Teichmann Marek

Publisher

International Association for Automation and Robotics in Construction (IAARC)

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generalized Framework for Wheel Loader Automatic Shoveling Task with Expert Initialized Reinforcement Learning;2024 IEEE/SICE International Symposium on System Integration (SII);2024-01-08

2. Towards Smart Distributed Robotics Solution using Digital Twin;2023 IEEE 14th International Conference on Power Electronics and Drive Systems (PEDS);2023-08-07

3. Demonstration of position estimation for multiple construction vehicles of different models by using 3D LiDARs installed in the field;ROBOMECH Journal;2023-07-07

4. Reinforcement Learning-Based Transportation and Sway Suppression Methods for Gantry Cranes in Simulated Environment;2022 Winter Simulation Conference (WSC);2022-12-11

5. Deep Reinforcement Learning Methods for Suppressing Horizontal Sway of Construction Cranes in Virtual Physical Environment;Journal of Construction Automation and Robotics;2022-07-08

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