Abstract
This tutorial chapter provides a comprehensive and extensive step-by-step guide on the ROS setup of a differential-drive as well as a car-like mobile robot with the navigation stack in conjunction with the teb_local_planner package. It covers the theoretical foundations of the TEB local planner, package details, customization and its integration with the navigation stack and the simulation environment. This tutorial is designated for ROS Kinetic running on Ubuntu Xenial (16.04) but the examples and code also work with Indigo, Jade and is maintained in future ROS distributions.
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Notes
- 1.
teb_local_planner, URL: http://wiki.ros.org/teb_local_planner.
- 2.
ROS navigation, URL: http://wiki.ros.org/navigation.
- 3.
teb_local_planner, online-video, URL: https://youtu.be/e1Bw6JOgHME.
- 4.
teb_local_planner extensions, online-video, URL: https://youtu.be/o5wnRCzdUMo.
- 5.
Conventions for names of common coordinate frames in ROS are listed here: http://www.ros.org/reps/rep-0105.html.
- 6.
libg2o, URL: http://wiki.ros.org/libg2o.
- 7.
The move_base node (navigation stack) provides a parameter controller_frequency to adjust the sampling interval.
- 8.
rviz, URL: http://wiki.ros.org/rviz.
- 9.
Adopted from the move_base wiki page, URL: http://wiki.ros.org/move_base.
- 10.
amcl, URL: http://wiki.ros.org/amcl.
- 11.
costmap_converter, URL: http://wiki.ros.org/costmap_converter.
- 12.
interactive_markers, URL: http://wiki.ros.org/interactive_markers.
- 13.
stage_ros, URL: http://wiki.ros.org/stage_ros.
- 14.
gazebo_ros_pkgs, URL: http://wiki.ros.org/gazebo_ros_pkgs.
- 15.
Borrowed from the turtlebot_stage package: http://wiki.ros.org/turtlebot_stage.
- 16.
costmap_2d, URL: http://wiki.ros.org/costmap_2d.
References
Rösmann, C., Feiten, W., Wösch, T., Hoffmann, F., and T. Bertram. 2012. Trajectory modification considering dynamic constraints of autonomous robots. In 7th German Conference on Robotics (ROBOTIK), 74–79.
Rösmann, C., Feiten, W., Wösch, T., Hoffmann, F., and T. Bertram. 2013. Efficient trajectory optimization using a sparse model. In 6th European Conference on Mobile Robots (ECMR), 138–143.
Rösmann, C., Hoffmann, F., and T. Bertram. 2015. Planning of multiple robot trajectories in distinctive topologies. In IEEE European Conference on Mobile Robots, 1–6.
Kümmerle, R., Grisetti, G., Strasdat, H., Konolige, K., and W. Burgard. 2011. G2o: A general framework for graph optimization. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 3607–3613.
Nocedal, J., and S.J. Wright. 1999. Numerical Optimization., Springer series in operations research New York: Springer.
Morari, M., and J.H. Lee. 1999. Model predictive control: past, present and future. Computers and Chemical Engineering 23 (4–5): 667–682.
Bhattacharya, S., Kumar, V., and M. Likhachev. 2010. Search-based path planning with homotopy class constraints. In Proceedings of National Conference on Artificial Intelligence.
Guimarães, R.L., de Oliveira, A.S., Fabro, J.A., Becker, T., and V.A. Brenner. 2016. ROS Navigation: Concepts and Tutorial. In Robot Operating System (ROS) - The Complete Reference (A. Koubaa, ed.), vol. 625 of Studies in Computational Intelligence, pp. 121–160, Springer International Publishing.
LaValle, S.M. 2006. Planning Algorithms. New York, USA: Cambridge University Press.
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Rösmann, C., Hoffmann, F., Bertram, T. (2017). Online Trajectory Planning in ROS Under Kinodynamic Constraints with Timed-Elastic-Bands. In: Koubaa, A. (eds) Robot Operating System (ROS). Studies in Computational Intelligence, vol 707. Springer, Cham. https://doi.org/10.1007/978-3-319-54927-9_7
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