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Umeå universitet
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Huvudmenyn dold.

Arvid Fälldin

Kontakt

E-post
arvid.falldin@umu.se
Telefon

Verksam vid

Anknytning
Doktorand vid Institutionen för fysik Enhet: UMIT
Plats
MIT-huset, byggnad V, UMIT Research Lab, UMIT-lab Umeå universitet, 901 87 Umeå
Learning forwarder trafficability from real and synthetic data
IUFRO 2024 - XXVI IUFRO World Congress, Stockholm
Fälldin, Arvid; Lundbäck, Mikael; Wallin, Erik; et al.
Open data, models, and software for machine automation
IUFRO 2024 - XXVI IUFRO World Congress
Servin, Martin; Fälldin, Arvid; Häggström, Carola; et al.
Towards autonomous forwarding using deep learning and simulation
IUFRO 2024 - XXVI IUFRO World Congress, Stockholm
Wallin, Erik; Lundbäck, Mikael; Fälldin, Arvid; et al.
Sim-to-real transfer of active suspension control using deep reinforcement learning
Robotics and Autonomous Systems
Wiberg, Viktor; Wallin, Erik; Fälldin, Arvid; et al.
Learning by Digging: A Differentiable Prediction Model for an Autonomous Wheel Loader
Fälldin, Arvid
Data-driven models for predicting the outcome of autonomous wheel loader operations
Aoshima, Koji; Fälldin, Arvid; Wadbro, Eddie; et al.
Sim-to-real transfer of active suspension control using deep reinforcement learning
Wiberg, Viktor; Wallin, Erik; Fälldin, Arvid; et al.
Visa publikationer i DiVA

Forskargrupper

Gruppmedlem
Digital fysik