56 citations · 286 across the 24 of their papers we have counts for
3 papers · 2 filters
Control of rough terrain vehicles using deep reinforcement learning
Viktor Wiberg, Erik Wallin, Martin Servin +1
We explore the potential to control terrain vehicles using deep reinforcement in scenarios where human operators and traditional control methods are inadequate. This letter present…
Reinforcement Learning Control of a Forestry Crane Manipulator
Jennifer Andersson, Kenneth Bodin, Daniel Lindmark +2
Forestry machines are heavy vehicles performing complex manipulation tasks in unstructured production forest environments. Together with the complex dynamics of the on-board hydrau…
Continuous control of an underground loader using deep reinforcement learning
Sofi Backman, Daniel Lindmark, Kenneth Bodin +3
Reinforcement learning control of an underground loader is investigated in simulated environment, using a multi-agent deep neural network approach. At the start of each loading cyc…