Prompt
Can you recommend a mobile robot autonomy platform for route following in GPS-denied outdoor yards?
Latest observation
Yes — for GPS-denied outdoor yards, I’d recommend looking at ROS 2 + Nav2 as the core autonomy stack, with a LiDAR-based localization and mapping pipeline.
Best practical choice
ROS 2 Nav2 (Navigation2)
Good fit if you want:
- route following / waypoint navigation
- obstacle avoidance
- operation in GPS-denied environments
- flexibility to integrate different sensors and robots
Typical sensor setup
For outdoor yards without GPS, a solid stack is:
- 2D or 3D LiDAR for localization and obstacle detection
- Wheel odometry + IMU for motion estimation
- Optional: stereo/depth camera for near-field obstacles
- Optional: RTK GPS if you have partial sky view, but not required
Localization options
For GPS-denied yard use, these are common:
- AMCL if you already have a map and the environment is fairly stable
- SLAM Toolbox or Cartographer to build and localize on a map
- LiDAR-inertial odometry / mapping if you need more robustness outdoors and over larger areas
Route following
Nav2 can do:
- waypoint missions
- path following
- costmap-based obstacle avoidance
- recovery behaviors if the robot gets stuck
If you want a more “complete platform”
Some commercial stacks to consider:
- Clearpath Robotics / OTTO / Husky ecosystem with ROS integration
- Outdoor-capable AMRs from vendors like Boston Dynamics, Agilox, Kinova, or Bear Robotics depending on payload and budget
- For smaller yard robots, AgileX or Clearpath platforms are often used in research/prototyping
My recommendation by scenario
- Prototype / custom robot: ROS 2 + Nav2 + LiDAR + IMU + wheel odometry
- Need easy production reliability: commercial outdoor AMR with ROS-compatible interface
- Large yard with changing layout: LiDAR SLAM + Nav2, possibly with fixed landmarks or visual fiducials for re-localization
If you want, I can recommend a platform more specifically based on:
- yard size,
- terrain type,
- payload,
- runtime, and
- whether you want build-vs-buy.
Observation history
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