Control of Rough Terrain Vehicles Using Deep Reinforcement Learning

@article{Wiberg2022ControlOR,
  title={Control of Rough Terrain Vehicles Using Deep Reinforcement Learning},
  author={Viktor Wiberg and Erik Wallin and Tomas Nordfjell and Martin Servin},
  journal={IEEE Robotics and Automation Letters},
  year={2022},
  volume={7},
  pages={390-397}
}
We explore the potential to control terrain vehicles using deep reinforcement in scenarios where human operators and traditional control methods are inadequate. This letter presents a controller that perceives, plans, and successfully controls a 16-tonne forestry vehicle with two frame articulation joints, six wheels, and their actively articulated suspensions to traverse rough terrain. The carefully shaped reward signal promotes safe, environmental, and efficient driving, which leads to the… 
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