A Case Study of Automated Simulation for Excavator Cycle Time Estimation
Author:
Affiliation:
1. Combined Master’s and Ph.D Degree, Department of Civil and Environmental Engineering, Hanyang University
2. Associate Professor, Department of Civil and Environmental Engineering, Hanyang University
Publisher
Korean Society of Automation and Robotics in Construction
Link
https://www.jcar.or.kr/articles/pdf/doi/10.55785/JCAR.2.1.13.pdf
Reference31 articles.
1. Interterminal Truck Routing Optimization Using Deep Reinforcement Learning
2. Evaluation of queuing systems for knowledge-based simulation of construction processes
3. DeepHaul: a deep learning and reinforcement learning-based smart automation framework for dump trucks
4. Reinforcement learning-based simulation and automation for tower crane 3D lift planning
5. Artificial intelligence approach to calculation of hydraulic excavator cycle time and output
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