A new doctoral thesis by Dr. Koji Aoshima addresses the challenge of achieving autonomous and high-performance earthmoving.
Category Archives: Heavy Machines
Robots with a Sense for Physics: Algoryx’s Vision for Heavy Offroad Autonomy, and a Plan to Achieve It
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. […]
Algoryx in research collaboration to develop autonomous machines for risky mining environments
Algoryx is joining Epiroc and the Robotics and AI team at Luleå University of Technologyin a research project to develop advanced autonomous navigation sensor technology for mining vehicles.
Epic Spotlight on Algoryx
Epic Games has published a spotlight article about AGX Dynamics for Unreal Engine, including an interview with CEO Kenneth Bodin and CTO Anders Backman, both co-founders of Algoryx. Read more about Industry-grade physics for Unreal Engine on the Unreal Engine website.
Scientific publication from Algoryx selected as Editor’s Choice Article
The research paper “Continuous Control of an Underground Loader Using Deep Reinforcement Learning” was published in MDPI Machines in August 2021. We are happy tro announce that this paper has now been selected as an Editor’s Choice Article as noteworthy or likely to be of high interest to readers, and comprise key papers that highlight […]
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.
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.
Groundbreaking AI-project for autonomous machines
Algoryx has used AGX Dynamics, Unity and ML-Agents for machine learning of an AI-controlled wheel loader.
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.
Algoryx top ranked in the Swedish AI landscape map
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.
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.