Topics: Contract issues, machines

  • Self-driving machines need to be able to adapt to changes in the environment in order not to risk harming the environment or, in the worst case, people. Graphic: Martin Servin

    Computational physics to make AI-controlled heavy machinery safer

    When heavy machinery is to become robots with autonomous capabilities, safety is at highest priority. In a new EU project, researchers and industry collaborate to develop reliable and efficient AI-driven machines that minimize the risk of harming people or the environment.

  • The simulated and the real forestry machine are controlled by the same AI model developed on a supercomputer in several million training steps. Photo: Viktor Wiberg

    The world's first AI-controlled forest machine trained on supercomputor

    For the first time, scientists have succeeded in creating a self-driving forest machine controlled by artificial intelligence. In a research study at Umeå University, Sweden, an AI system was developed that can operate the 16-ton machine without human intervention. The study has been carried out in collaboration with Skogforsk and Algoryx Simulation.

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