The increased risk to the safety of excavator personnel and difficulty in training them, combined with a manpower shortage, have led to an increased demand for machine automation. This study applies a long short-term memory algorithm for automating a bucket-tip trajectory planning AI system.

DOI Link: 
10.21227/7pbs-y780
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[1] JAEMYUNG HUH, "Deep Learning–Based Autonomous Excavation: A Bucket-Trajectory Planning Algorithm", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/7pbs-y780. Accessed: Dec. 30, 2024.
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doi = {10.21227/7pbs-y780},
url = {http://dx.doi.org/10.21227/7pbs-y780},
author = {JAEMYUNG HUH },
publisher = {IEEE Dataport},
title = {Deep Learning–Based Autonomous Excavation: A Bucket-Trajectory Planning Algorithm},
year = {2023} }
TY - DATA
T1 - Deep Learning–Based Autonomous Excavation: A Bucket-Trajectory Planning Algorithm
AU - JAEMYUNG HUH
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PB - IEEE Dataport
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JAEMYUNG HUH. (2023). Deep Learning–Based Autonomous Excavation: A Bucket-Trajectory Planning Algorithm. IEEE Dataport. http://dx.doi.org/10.21227/7pbs-y780
JAEMYUNG HUH, 2023. Deep Learning–Based Autonomous Excavation: A Bucket-Trajectory Planning Algorithm. Available at: http://dx.doi.org/10.21227/7pbs-y780.
JAEMYUNG HUH. (2023). "Deep Learning–Based Autonomous Excavation: A Bucket-Trajectory Planning Algorithm." Web.
1. JAEMYUNG HUH. Deep Learning–Based Autonomous Excavation: A Bucket-Trajectory Planning Algorithm [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/7pbs-y780
JAEMYUNG HUH. "Deep Learning–Based Autonomous Excavation: A Bucket-Trajectory Planning Algorithm." doi: 10.21227/7pbs-y780