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ADAS & Autonomy for Ground Robotics
AUTONOMY BOX
Off-road autonomy for UGVs and quadrupeds
Download AUTONOMY BOX datasheet (PDF)A sealed compute module that turns a teleoperated ground platform into an assisted or fully autonomous one. Built for unstructured terrain rather than road lanes: the perception stack expects slopes, vegetation, ruts and dust, and it adapts to both wheeled or tracked UGVs and legged quadrupeds.
ADAS layer
- ▸Obstacle detection with negative-obstacle and ditch awareness
- ▸Collision avoidance and speed governing under operator control
- ▸Rollover and slope-limit protection for off-camber terrain
- ▸Assisted teleoperation over degraded or high-latency links
Autonomy layer
- ▸Waypoint and route following across unmapped terrain
- ▸Traversability estimation and cost-map planning
- ▸Follow-me, leader-follower and convoy behaviors
- ▸Return-to-operator and comms-loss fallback behaviors
Navigation
- ▸GPS-denied localization with visual-inertial odometry and LiDAR SLAM
- ▸Geo-registration against prior imagery where available
- ▸Terrain-relative pose estimation for legged gait planning
- ▸Area and building scanning with mapped output
Platform fit
- ▸Off-road UGVs — wheeled and tracked, from light mules to heavy carriers
- ▸Quadrupeds — gait-aware planning and step placement for robotic dogs
- ▸Vehicle-agnostic drive-by-wire and actuator abstraction layer
- ▸Swarm logic and multi-platform coordination
At a glance
- Compute
- NVIDIA Jetson (Orin family), Qualcomm
- Sensors
- Stereo, LiDAR, IMU, EO/IR
- Platforms
- Wheeled, tracked, quadruped
- Interfaces
- ROS2, CAN, serial, custom
- Navigation
- GNSS and GPS-denied
NVIDIA JetsonQualcommiMX8Hailo
Integration FAQ
- Which ground platforms can the Autonomy Box be fitted to?
- Wheeled and tracked off-road UGVs, from light mules to heavy carriers, as well as robotic quadrupeds. A vehicle-agnostic drive-by-wire and actuator abstraction layer handles the platform-specific control interface.
- Does the Autonomy Box work without GPS?
- Yes. It localizes with visual-inertial odometry and LiDAR SLAM, and can geo-register against prior imagery where available, so navigation continues in GPS-denied and jammed environments.
- What sensors and interfaces are required?
- Typical builds use stereo cameras, LiDAR, an IMU and optional EO/IR. The module connects over ROS2, CAN, serial or a custom bridge to the existing vehicle control stack.
- Can operators keep manual control?
- Yes. The ADAS layer runs underneath teleoperation, providing obstacle and negative-obstacle detection, collision avoidance, speed governing and rollover protection while the operator drives, including over degraded or high-latency links.
- What happens if the comms link drops?
- Comms-loss fallback behaviors take over, including return-to-operator and safe-stop. Waypoint and route following continue across unmapped terrain using onboard traversability estimation and cost-map planning.
Integrate AUTONOMY BOX into your platform
Tell us your compute, sensors and platform, and we will scope the integration.