Digital twins · Virtual commissioning · HIL
Robotics Logic & Virtual Testing
We model robots, conveyors and whole cells in ROS 2, Gazebo, Webots or NVIDIA Isaac Sim, and run your real control code against them. Control loops, AI behaviour and interaction with people are tested long before the hardware is powered on — including the cases that are too risky or too rare to try on site.
Multi-robot coordination, path planning and sensor-rich digital twins can be tested again after every change, so problems are found at a desk instead of on site, and commissioning starts from logic that already works.
- Multi-agent coordination and dynamic path planning
- Physics-accurate digital twins synced to real-time data
- Hardware-in-the-loop and virtual factory acceptance tests
- Sensor emulation and edge-case scenario testing
Interactive previews of systems we build where Simulation plays a central role. Use them — every button works.
Robotics · Digital twin · Industrial IoT
Copy linkIndustrial digital twin with autonomous robots
A live twin of an industrial hall: five autonomous robots plan, drive and inspect on their own, every onboard sensor is streamed, and incidents — a gas leak, an overheating pump, a blocked aisle — are detected, reported and routed around.
- Multi-robot navigation: A* planning, pure-pursuit control, safety fields
- Onboard RGB, rear, thermal/OGI and LIDAR feeds with teleoperation
- Gas and thermal inspection rounds with automatic work orders
- Costmap, TF, telemetry and a rosout-style event log
Try it: Pick a robot, drive it (joystick or W A S D), send it on a mission — then inject a gas leak and run the inspection round.
Interactive preview with illustrative data. Client names and branding are omitted.
- 01 /
Algorithm-safe sandbox
Iterate PID, MPC, and reinforcement-learning controllers with zero hardware damage risk.
- 02 /
Full-stack digital twins
Physics-accurate models of robots, conveyors, and environments synced to real-time data.
- 03 /
Scenario engine
Run thousands of edge-case tests (obstacles, latency spikes, sensor noise) overnight.
- 04 /
Virtual FAT & HIL
Hardware-in-the-loop links PLCs, HMIs, and safety logic for pre-commissioning sign-off.
- 05 /
Instant analytics
Cycle-time, energy draw, and collision metrics streamed to dashboards as each sim runs.
- 1,000+
- edge-case scenarios run before commissioning
- 100%
- of safety functions tested virtually before site acceptance
- 0
- untested logic changes on the real machine
Illustrative targets, not results of named clients. Baselines and acceptance criteria are agreed for each project.
Technology
Tools we trust
We build the models, write the test scenarios and keep the twin up to date as your system changes, so every change is tested before it reaches the real machine.
- ROS 2
- Gazebo
- Webots
- NVIDIA Isaac Sim
- PID / MPC
- Reinforcement Learning
- PLC / HMI
- Digital Twins
- MATLAB
- Simulink
- MuJoCo
- PyBullet
- Unity
- Blender
- OpenModelica
- … and more
A selection of our tools and frameworks. We choose what fits your requirements, integrations and team.
Straight answers about how we work. Can't find yours? Ask us directly.
Which simulation tools do you use?
We work with ROS 2, Gazebo, Webots and NVIDIA Isaac Sim, selecting the stack that best fits your robots, sensors and control architecture.
What is a digital twin?
A physics-accurate virtual model of your robots, conveyors and environment, synchronized with real-time data, used to test logic and predict behaviour before changes reach the real system.
What are the typical benefits of simulation?
Logic is debugged before anyone is on site, hardware is not damaged by untested behaviour, and changes can be tested again at any time. We agree measurable targets per project — for example the scenarios to pass and the safety functions to prove before site acceptance.
Simulation
Ready to move from idea to a working system?
Tell us about your goals and constraints. We'll come back with a clear technical direction and next steps.