1 citations · 4 across the 5 of their papers we have counts for
7 papers
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
Erik Wallin, Lennart Svensson, Fredrik Kahl +1
Following the success of supervised learning, semi-supervised learning (SSL) is now becoming increasingly popular. SSL is a family of methods, which in addition to a labeled traini…
Learning multiobjective rough terrain traversability
Erik Wallin, Viktor Wiberg, Folke Vesterlund +3
We present a method that uses high-resolution topography data of rough terrain, and ground vehicle simulation, to predict traversability. Traversability is expressed as three indep…
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…
Data-driven model order reduction for granular media
Erik Wallin, Martin Servin
We investigate the use of reduced-order modelling to run discrete element simulations at higher speeds. Taking a data-driven approach, we run many offline simulations in advance an…