3 citations · 4 across the 4 of their papers we have counts for
5 papers
Safety filtering of robotic manipulation under environment uncertainty: a computational approach
Anna Johansson, Daniel Lindmark, Viktor Wiberg +1
Robotic manipulation in dynamic and unstructured environments requires safety mechanisms that exploit what is known and what is uncertain about the world. Existing safety filters o…
Multi-log grasping using reinforcement learning and virtual visual servoing
Erik Wallin, Viktor Wiberg, Martin Servin
We explore multi-log grasping using reinforcement learning and virtual visual servoing for automated forwarding in a simulated environment. Automation of forest processes is a majo…
Sim-to-real transfer of active suspension control using deep reinforcement learning
Viktor Wiberg, Erik Wallin, Arvid Fälldin +4
We explore sim-to-real transfer of deep reinforcement learning controllers for a heavy vehicle with active suspensions designed for traversing rough terrain. While related research…
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…