Algoryx is envisioning a plan for bringing full autonomy to heavy off-road machines, even in the most complex and unpredictable environments. At the heart of this visionary approach is the idea that a safe and efficient AI-powered control system needs to operate in two worlds: the real one and a physics-based simulation running in parallel. […]
Category Archives: Research & Education
Algoryx is a new member of euRobotics
The euRobotics Association ties together the European robotics industry and research landscape. Algoryx joins this network to develop new and deepened collaborations.
How LKAB by-passed the odds and scored on all bins
In 2020, senior engineers Fredrik Tornéus and Kjell-Ove Mickelsson took on the challenge of completely redesigning the bulk flow in Narvik, Norway.
Robotizing an underground mining wheel loader
Update April 13 2022: This paper was awarded Editors’ Choice Article as noteworthy or likely to be of high interest to readers, and comprise key papers that highlight some of the best current research published in Machines. Automatic control of a wheel loader doing bucket filling can be solved using deep reinforcement learning. This was […]
Towards self-loading forest machines
Researchers and engineers at Algoryx and Umeå University present the first successful implementation of a reinforcement learning controlled forestry machine at IROS 2021.
Artificial Intelligence is Transforming European Manufacturing
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.
Automating the forest industry with AI
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 now a Unity Verified Solutions Partner
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.
Optimizing autonomous excavation through simulations
Reports research conducted at Baidu Research where AGX Dynamics was used to set up a mechanical simulation of an excavator operating in terrain.
Ideas and drawings brought to life by simulations at LKAB
Today experiments with plants and processes are performed in virtual environments instead of expensive and time-consuming full-scale experiments.
Algoryx joins the ABB SynerLeap innovation growth hub
Simulation software from Algoryx is already used by many ABB divsions and ABB has selected AGX Dynamics for integration in ABB RobotStudio.
Algoryx presenting at international vehicle symposium in Kaiserslautern
Algoryx will present the paper Physics-based virtual environments for autonomous earthmoving and mining machinery.