Planner Benchmarking in Nav2

Source: ros2-copilot-skills planner benchmarking skill

Why This Matters

Planner debates often stay abstract until a robot has to operate in a real space with real constraints. Benchmarking gives a concrete way to compare planners based on the routes and failure modes that matter to the actual deployment.

Distilled Takeaways

• Good planner benchmarking compares outcomes, not only algorithm names.
• The benchmark should reflect the robot geometry, map structure, and mission constraints that matter operationally.
• Path quality, compute cost, consistency, and recoverability all matter.
• A planner that looks good in one environment may not generalize to another.

Practical Guidance

• Benchmark planners on representative maps and repeated scenarios.
• Measure path quality and downstream controllability, not only planning success.
• Include hard cases such as tight spaces, long corridors, and clutter transitions.
• Keep planner choice tied to deployment needs rather than popularity.

Corroborating References

• Nav2 planner docs
• Nav2 metrics and debugging topics

When to Read the Original Source

Go to the original skill when you want the practical benchmarking criteria and the comparison mindset for choosing among Nav2 planners.