Reinforcement learning for trench excavation

Excavation autonomy is an area of industrial interest as there is a significant skills shortage for excavator operators, yet the industry is facing higher budget constraints than ever before. In particular, the excavation task of trenching is heavily impacted as it is difficult to perform but is als...

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Bibliographic Details
Main Author: Jake Rankin
Format: Default Thesis
Published: 2023
Subjects:
Mechanical engineering not elsewhere classified
reinforcement learning (RL)
Artificial Intelligence (AI)
machine Learning Predictions
Neural Networks
supervised learning
digital twins
autonomous excavation
autonomy
system architecture
autonomous architecture
feature selection
Online Access:https://dx.doi.org/10.26174/thesis.lboro.22714543.v1
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https://dx.doi.org/10.26174/thesis.lboro.22714543.v1

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