Corpus ID: 25474950

ROS Navigation Tuning Guide

@article{Zheng2017ROSNT,
  title={ROS Navigation Tuning Guide},
  author={Kaiyu Zheng},
  journal={ArXiv},
  year={2017},
  volume={abs/1706.09068}
}
  • Kaiyu Zheng
  • Published 2017
  • Computer Science, Engineering
  • ArXiv
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… Expand
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References

SHOWING 1-3 OF 3 REFERENCES
High-speed navigation using the global dynamic window approach
  • O. Brock, O. Khatib
  • Computer Science
  • Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C)
  • 1999
  • 542
  • PDF
Robot Operating System (ROS): The Complete Reference (Volume 1)
  • 204
  • PDF
The dynamic window approach to collision avoidance
  • 2,233
  • PDF