Ground Robotics Autonomy Box

UGV Autonomous Navigation & Obstacle Avoidance

A tracked UGV executes an assigned outdoor route, assesses traversability and avoids obstacles that were not in the plan.

Platform
Tracked UGV with Neuronic Ground Robotics Autonomy Box

What is demonstrated

This demonstration shows a tracked UGV upgraded with the Neuronic Ground Robotics Autonomy Box executing an autonomous outdoor route with live obstacle avoidance and traversability assessment.

Capability

Outdoor autonomous navigation, route execution, traversability assessment and obstacle avoidance on an existing platform.

Why it is operationally useful

Most units already own ground robots that must be driven. Retrofit autonomy converts that fleet into mission systems without procuring new platforms.

Scenario

Mission sequence

  1. 01The operator assigns a route with waypoints.
  2. 02The UGV plans a path and begins execution.
  3. 03Terrain is assessed for traversability as the vehicle moves.
  4. 04Unplanned obstacles are detected and avoided locally.
  5. 05The vehicle rejoins the assigned route.
  6. 06Mission status is reported to the operator throughout.

Transcript

Full narration transcript

Published in full so the demonstration is indexable and answerable by search and AI systems.

The operator sets waypoints on the map and assigns the route to the vehicle.

The Autonomy Box plans a path and drives the platform through its existing vehicle interface.

Terrain ahead is continuously assessed. Surfaces the platform cannot handle are excluded from the plan.

An obstacle appears in the path. The vehicle deviates locally, clears it and returns to the assigned route.

Position, video and mission status stream back to the operator for the duration of the run.

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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