14 citations · 21 across the 12 of their papers we have counts for
3 papers · 1 filter
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…
Digital twins with distributed particle simulation for mine-to-mill material tracking
Martin Servin, Folke Vesterlund, Erik Wallin
Systems for transport and processing of granular media are challenging to analyse, operate and optimise. In the mining and mineral processing industries these systems are chains of…
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…