In 2020, senior engineers Fredrik Tornéus and Kjell-Ove Mickelsson took on the challenge of completely redesigning the bulk flow in Narvik, Norway.
Automatic control of a wheel loader doing bucket filling can be solved using deep reinforcement learning. This was recently demonstrated in a simulator environment by a team from Algoryx, Epiroc, and Umeå University. The scientific paper was recently published in the journal Machines. In underground mines, specialized wheel loaders (LHD) are used for loading fragmented […]
Researchers and engineers at Algoryx and Umeå University present the first successful implementation of a reinforcement learning controlled forestry machine at IROS 2021.
Soon, European factories will be designed and operated by artificial intelligence. The AIToC project develops Artificial Intelligence supported Tool Chains in Manufacturing Engineering to make this possible.
Sabina, Henrik and Noah are students that will spend parts of their summer on internships and summer jobs at Algoryx.
We used reinforcement learning to show that it’s possible to automate grasping of a randomly placed tree log with an AI-controlled forest machine.
Algoryx has used AGX Dynamics, Unity and ML-Agents for machine learning of an AI-controlled wheel loader.
AGX Dynamics for Unity has been verified by Unity Technologies to ensure it is optimized for the Unity real-time 3D development platform with a seamless user experience.
Algoryx participates in accelerator program TINC is arranged by Nordic Innovation House in Silicon Valley, USA
Algoryx visits a school in Holmsund to raise interest and get more young people and especially girls to apply for technical educations.
Algoryx is top ranked in the Swedish AI startup landscape, selected using criteria such as use of AI, scalability, access to and use of data, and the AI skills of their personnel.
It has been a good year so far for Algoryx with continued growth, new exciting projects, product releases, and several important recruitments.