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planner-benchmarking

Benchmark Nav2 planner performance across fixed start/goal pairs using logs or rosbag data.

18|2|Updated Apr 20, 2026
Search Tags:#benchmarking#ros2#path#planning-metrics#nav2#planner-benchmark#rosbag
One-click install
npx skills add https://github.com/wimblerobotics/ros2-copilot-skills --skill planner-benchmarking
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: planner-benchmarking
Source: https://github.com/wimblerobotics/ros2-copilot-skills/tree/main/planner-benchmarking
Command: npx skills add https://github.com/wimblerobotics/ros2-copilot-skills --skill planner-benchmarking

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Benchmark Nav2 planner performance across multiple scenarios to help engineers compare planners, quantify impact of changes, and identify bottlenecks.

Core Features & Use Cases

  • Measure planning time, path length, smoothness, reversals, and planner success rate using logs, rosbag data, and simulated scenarios.
  • Run repeatable experiments across fixed start/goal pairs and scenarios to build reproducible benchmarks.
  • Use case: Compare Nav2 planners (e.g., SMAC, NavFn, Hybrid A*) under identical maps to guide planner selection and tuning.

Quick Start

Run a benchmark to measure planning time, path length, and planner quality across predefined start/goal pairs.

Frequently Asked Questions about planner-benchmarking

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I benchmark Nav2 planner performance across multiple scenarios?▼

You can benchmark Nav2 planners by measuring planning time, path length, and success rate across fixed start/goal pairs. Repeated trials using logs or rosbag data generate reproducible metrics for comparing planner behavior.

What metrics should I track when comparing ROS 2 path planning algorithms?▼

Track planning time, path length, smoothness, reversals, and planner success rate. These metrics quantify changes and identify bottlenecks across different fixed scenarios.

Do I need a ROS 2 environment with rosbag data to evaluate planner success rate?▼

Yes, evaluating planner success rate requires a ROS 2 environment with Nav2, costmaps, and access to logs or rosbag data to compute the metrics accurately.

What is the best way to compare SMAC, NavFn, and Hybrid A* planners under identical maps?▼

Run repeatable experiments across predefined start/goal pairs on identical maps. This ensures consistent benchmarking conditions to guide planner selection and tuning.

Why does my Nav2 planner benchmark lack reproducibility across test runs?▼

Benchmarks lack reproducibility without fixed start/goal pairs and repeated trials. Standardizing scenarios and using consistent log or rosbag data ensures reliable measurement of planning time and path length.

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