A new doctoral thesis by Dr. Koji Aoshima addresses the challenge of achieving autonomous and high-performance earthmoving.
Category Archives: Uncategorized
Introducing AGX Sensor with Lidar Simulation
Synthetic data for heavy off-road autonomy just made a big leap. We are excited to announce the AGX Sensor module for AGX Dynamics with state-of-the-art Lidar simulation. Prototype sensor placements and develop autonomous control systems with synthetic sensor data in real time. 🔸 Lidar Sensor SimulationLidar sensors are essential for heavy machine autonomy and operator […]
Algoryx Handpicked for Prestigious European Space Accelerator Program
Algoryx is strengthening its position as a Space Tech company by joining the most prominent startup and scaleup accelerator in the European region: The Cassini Business Accelerator.
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.
Introducing Data Plotting and Paging Terrain in AGX Dynamics for Unreal
Paging terrain, data plotting, and Unreal Engine 5.2 support are some of the new functionalities that have been added to AGX Dynamics for Unreal Engine in recent updates to the software. During the spring, we made a number of updates to AGX Dynamics for Unreal. In the current version of the software (1.6.0), and the […]
Algoryx CEO elected to the Royal Swedish Academy of Engineering Sciences
Kenneth Bodin, CEO and founder of Algoryx Simulation, has been inducted into the Royal Swedish Academy of Engineering Sciences (IVA).
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 […]
Björn and Henrik join the Algoryx team!
Henrik Despaigne and Björn Ahlman are the latest additions to our super talented Algoryx team.
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.
Algoryx är stolta över att jobba för en jämställd teknikbransch!
Ungdomsföretaget JämställdTeknik har intervjuat tre av Algoryx kvinnliga ingenjörer som berättar om hur man också lite senare i livet kan byta bana och välja en teknisk inriktning.