most citedSim-to-real transfer of active suspension control using deep reinforcement learning

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2024

Synthesizing multi-log grasp poses in cluttered environments

Arvid Fälldin, Tommy Löfstedt, Tobias Semberg +2

Multi-object grasping is a challenging task. It is important for energy and cost-efficient operation of industrial crane manipulators, such as those used to collect tree logs from…

cs.RO2023★ 3 cited

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…