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Continuous control of an underground loader using deep reinforcement
  learning
v1v2v3v4 (latest)

Continuous control of an underground loader using deep reinforcement learning

1 March 2021
Sofi Backman
Daniel M. Lindmark
K. Bodin
Martin Servin
Joakim Mörk
Håkan Löfgren
ArXiv (abs)PDFHTML

Papers citing "Continuous control of an underground loader using deep reinforcement learning"

10 / 10 papers shown
An integrated process for design and control of lunar robotics using AI and simulation
An integrated process for design and control of lunar robotics using AI and simulation
Daniel M. Lindmark
Jonas Andersson
K. Bodin
Tora Bodin
Hugo Börjesson
Fredrik Nordfeldth
Martin Servin
AI4CE
119
0
0
15 Sep 2025
Large Scale Robotic Material Handling: Learning, Planning, and Control
Large Scale Robotic Material Handling: Learning, Planning, and Control
Filippo A. Spinelli
Yifan Zhai
Fang Nan
Pascal Egli
Julian Nubert
Thilo Bleumer
Lukas Miller
Ferdinand Hofmann
Marco Hutter
108
3
0
12 Aug 2025
A simulation framework for autonomous lunar construction work
A simulation framework for autonomous lunar construction work
Mattias Linde
Daniel M. Lindmark
Sandra Ålstig
Martin Servin
AI4CE
210
2
0
28 May 2025
Autonomous loading of ore piles with Load-Haul-Dump machines using Deep
  Reinforcement Learning
Autonomous loading of ore piles with Load-Haul-Dump machines using Deep Reinforcement LearningExpert systems with applications (ESWA), 2024
Rodrigo Salas
Francisco Leiva
Javier Ruiz-del-Solar
OffRL
108
3
0
11 Sep 2024
Learning the Approach During the Short-loading Cycle Using Reinforcement
  Learning
Learning the Approach During the Short-loading Cycle Using Reinforcement Learning
Carl Borngrund
Ulf Bodin
Henrik Andreasson
Fredrik Sandin
67
0
0
19 Jun 2024
Examining the simulation-to-reality gap of a wheel loader digging in
  deformable terrain
Examining the simulation-to-reality gap of a wheel loader digging in deformable terrainMultibody system dynamics (MSD), 2023
Kojiro Aoshima
Martin Servin
AI4CE
299
17
0
09 Oct 2023
World Modeling for Autonomous Wheel Loaders
World Modeling for Autonomous Wheel Loaders
Kojiro Aoshima
Arvid Fälldin
E. Wadbro
Martin Servin
310
7
0
21 Sep 2023
In Situ Soil Property Estimation for Autonomous Earthmoving Using
  Physics-Infused Neural Networks
In Situ Soil Property Estimation for Autonomous Earthmoving Using Physics-Infused Neural Networks
W. J. Wagner
A. Soylemezoglu
William R. Norris
Katherine Driggs-Campbell
68
3
0
05 Sep 2023
GPU-Accelerated Policy Optimization via Batch Automatic Differentiation
  of Gaussian Processes for Real-World Control
GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World ControlIEEE International Conference on Robotics and Automation (ICRA), 2022
Abdolreza Taheri
Joni Pajarinen
R. Ghabcheloo
GP
176
3
0
28 Feb 2022
Learning of Causal Observable Functions for Koopman-DFL Lifting
  Linearization of Nonlinear Controlled Systems and Its Application to
  Excavation Automation
Learning of Causal Observable Functions for Koopman-DFL Lifting Linearization of Nonlinear Controlled Systems and Its Application to Excavation AutomationIEEE Robotics and Automation Letters (RA-L), 2021
Nicholas Stearns
S. M. I. H. Harry Asada
355
17
0
05 Apr 2021
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