3 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
World Modeling for Autonomous Wheel Loaders
Koji Aoshima, Arvid Fälldin, Eddie Wadbro +1
This paper presents a method for learning world models for wheel loaders performing automatic loading actions on a pile of soil. Data-driven models were learned to output the resul…
cs.RO2023
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…