UGV Hardware-in-the-Loop Simulation
A tracked UGV runs the Neuronic autonomy stack against a physics-based simulation, with real hardware in the loop, to validate navigation and obstacle avoidance before field deployment.
- Platform
- Tracked UGV with Neuronic Ground Robotics Autonomy Box in hardware-in-the-loop simulation
- Product
- Ground Robotics Autonomy Box
What is demonstrated
This demonstration shows a tracked UGV connected to a hardware-in-the-loop simulator. The physical autonomy computer and vehicle interface run real code while the world, sensors and terrain are generated in simulation.
Capability
Hardware-in-the-loop validation, physics-based autonomy testing, obstacle avoidance and route execution on a real autonomy computer before field deployment.
Why it is operationally useful
Field testing every scenario is expensive and risky. Hardware-in-the-loop simulation lets the same autonomy stack that will run outdoors be exercised against realistic physics, faults and terrain in a repeatable environment.
Scenario
Mission sequence
- 01The physical autonomy computer boots and connects to the simulator.
- 02A virtual world with terrain, obstacles and waypoints is loaded.
- 03The UGV executes an assigned route using real control outputs.
- 04Unplanned obstacles appear and are avoided using onboard sensing.
- 05Vehicle state, video and telemetry flow back to the operator station.
- 06The run is repeated with different obstacle and terrain configurations.
Related demos
More from this product line
Autonomous Robotic Dog Building Scan
A robotic dog receives a building scan mission, enters the structure, navigates corridors, scans rooms and reports video and position back to the operator — without teleoperation.
UGV Autonomous Navigation & Obstacle Avoidance
A tracked UGV executes an assigned outdoor route, assesses traversability and avoids obstacles that were not in the plan.
Behind the demo
Ground Robotics Autonomy Box
A retrofit autonomy computer that upgrades existing ground robotic platforms with navigation, obstacle avoidance and autonomous mission behaviors.
- Autonomous navigation, indoor and outdoor
- Obstacle detection and avoidance
- Traversability assessment
- Route and waypoint execution
- Building scanning and clearing patterns
- Area scanning and autonomous patrol
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