Use Case: Closing the Sim2Real Gap with automated photorealistic data generation
Discover how photorealistic simulation is transforming ML training, offering unparalleled efficiency, scalability, and precision.
Innovation unleashed
Exploring cutting-edge technologies and real-world applications, our blog is your gateway to the future of engineeering. Join us as we delve into the latest advancements and unconver how they are shaping our world.
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Robotics solutions: finding the right talent for your project
Finding the right team for robotics and simulation projects is crucial. -
Ekumen at FOSDEM 2025: Accelerating robotics development through simulation
A solution agnostic approach to accelerate robotics development with simulation. -
A Tale of Two Formulas: Benchmarking the Nav2 AMCL Likelihood Field Sensor Model
A story of unexpected math, retro-engineering code that just-works, and benchmarking. -
Big shoes to fill: Validating the performance of Beluga AMCL
Beluga AMCL is a modern reimplementation of the localization package in ROS using the Beluga library, but does it work? We demonstrate it is a viable alternative to Nav2 AMCL by testing it against a large number of real-robot public datasets. -
Dataset Generation with NVIDIA Omniverse™
Case study of a synthetic dataset generation pipeline using NVIDIA Omniverse™. -
Upgrade your robot's navigation stack with Beluga AMCL
Beluga AMCL is a drop-in replacement for Nav2 AMCL and a gateway to more advanced localization solutions for robotics. -
A Beluga in Monte Carlo
Beluga is an open source implementation of particle filters written in C++17 that works as a drop-in replacement for AMCL ROS. -
Andino: Empowering Education with an Open-Source Educational Robot
We proudly introduce Andino, an innovative open-source differential drive robot designed specifically for educational purposes