The euRobotics Association ties together the European robotics industry and research landscape. Algoryx joins this network to develop new and deepened collaborations.
Category Archives: Front Page
AGX Dynamics for Unity adds Linux support, with a view to expanding Machine Learning capabilities
As AGX Dynamics for Unity gets Linux support, it becomes even more attractive as a simulation platform for machine autonomy.
When Failure isn’t an Option: Advanced Simulations in Space Engineering
Engineers at the Canadian space company MDA are developing the next-generation robot arm for the Lunar Gateway space station.
AGX Dynamics for Unreal adds UE 5.1 support and improved importing of revised CAD models
AGX Dynamics for Unreal now supports the latest version of Unreal Engine (5.1).
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.
Algoryx welcomes Marlene Cederquist as new CFO
Algoryx has appointed Marlene Cederquist as new Chief Financial Officer (CFO)
The engineering metaverse starts here
Algoryx Simulation AB announced today that it’s bringing AGX Dynamics to Unreal Engine.
Björn and Henrik join the Algoryx team!
Henrik Despaigne and Björn Ahlman are the latest additions to our super talented Algoryx team.
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.