Our robotic simulation and modeling solutions

Simulation is essential for robotic systems, streamlining complex operations and accelerating development. At Ekumen, we help your organization adopt, enhance, and leverage simulation technologies in innovative ways to boost your operations.

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Trusted by over 50 clients worldwide

More than 90 projects delivered

Skilled and dedicated engineers

Over 12 years of providing solutions

Trusted by over 50 clients worldwide

More than 90 projects delivered

Skilled and dedicated engineers

Over 12 years of providing solutions

Trusted by over 50 clients worldwide

More than 90 projects delivered

Skilled and dedicated engineers

Over 12 years of providing solutions

Robot modeling and testing

We have extensive experience in robot modeling and testing, including adapting models for use in physics simulators. This allows us to validate software stacks before hardware deployment. Additionally, we provide training and maintenance for simulator components to ensure optimal performance and regular updates.

Robot modeling and testing

Physical phenomena modeling

Our expertise in physical phenomena modeling includes creating simulations with custom terrain, aerial vehicles, and non-rigid body trees. We also simulate specific conditions such as lighting, gas, and suspended particles. Combined with realistic sensors and actuators, our models deliver high fidelity and realism for diverse applications.

Physical phenomena modeling

Photorealism and synthetic data generation

We craft photorealistic simulation scenarios for both indoor and outdoor environments. By generating synthetic datasets with controlled variables, we augment real-world data to create robust training sets. This includes capturing reliable ground truth information, such as LIDAR and RGB data, along with realistic sensor noise models.

Photorealism and synthetic data generation

Our know-how

Our strategic partners

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How can you benefit from working with us??

Intellectual property ownership×
All generated intellectual property is yours. Ekumen retains no ownership and supports you in selecting dependencies based on appropriate licenses and the use cases of deployed software components and derivatives.
Comprehensive professional support×
As our customer you will have full control and transparency over project progress and status with regular communication from multiple stakeholders to keep you informed.
Highly qualified team×
Beyond the dedicated teams assigned to your projects, our broader community of experts is available for consultation and advice across a range of topics.
Timezone proximity×
Ekumen provides seamless collaboration across twelve time zones, with significant overlap in the US/Canada, Europe, and the Middle East—maximizing communication and development synergies.
Proven experience you can rely on×
With over 12 years of industry expertise, contributions to academic research, and active participation in the open-source community, we're a trusted partner committed to delivering reliable solutions for your long-term success.

Who trusted us

willow_garage logo
clear path robotics logo
Laza Medical logo
Third Wave logo
Kodama logo
Plus one logo
Swift Navigation logo
Dusty Robotics logo
pickit logo
fellow logo
premise logo
celery logo
Aevena logo
Miso logo
yujin_robot logo

Frequently asked questions

How can I validate the navigation of my AMR?×
Integrating a physics simulator with an AMR's software stack is key to validating navigation algorithms. By modeling the scene, sensors, and actuators, as well as using test companions, you can verify trajectory metrics to ensure the robot moves as expected.
How can I properly simulate gripping?×
Simulating gripping requires a precise and robust simulator paired with accurate models of surfaces and parameters. Various robotic simulators can deliver different levels of accuracy, depending on the specific tasks at hand.
How can I train machine learning models with simulation?×
Simulation provides multiple ways to train machine learning models. Examples include generating synthetic datasets and annotations, pre-training models with simulated data or through simulation loops, and using photorealistic simulators to augment limited real-world datasets. Combining the right tools enables faster development cycles and better outcomes.

Any questions?

Contact us to discuss your needs and collaborate on your project.