ROJun 27, 2017

ROS Navigation Tuning Guide

arXiv:1706.09068v299 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental guide for practitioners using ROS to improve robot navigation efficiency.

The paper tackles the problem of fine-tuning parameters in the ROS navigation stack for mobile robots, providing a guide to optimize performance by explaining the 'how' and 'why' of key parameter settings.

The ROS navigation stack is powerful for mobile robots to move from place to place reliably. The job of navigation stack is to produce a safe path for the robot to execute, by processing data from odometry, sensors and environment map. Maximizing the performance of this navigation stack requires some fine tuning of parameters, and this is not as simple as it looks. One who is sophomoric about the concepts and reasoning may try things randomly, and wastes a lot of time. This article intends to guide the reader through the process of fine tuning navigation parameters. It is the reference when someone need to know the "how" and "why" when setting the value of key parameters. This guide assumes that the reader has already set up the navigation stack and ready to optimize it. This is also a summary of my work with the ROS navigation stack.

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