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ROS Global Path Planner Plugin based on the F-RRT* algorithm from this paper: https://doi.org/10.1016/j.eswa.2021.115457

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Fast-RRT* Global Path Planner

ROS Global Path Planner Plugin implementation of the Fast-RRT* algorithm for move_base.

Pseudocode

Fast-RRT* is more optimal than its predecessors RRT and RRT* through its novel method of creating an additional node when planning around obstacles.

The node placement draws upon the observation that paths that traverse closer to obstacles in the environment tend to be shorter, or more optimal, overall.

Check out the documentation file for an in depth explanation of how the Fast-RRT* functions work.

ROS

The Fast-RRT* code is a plugin to the global_planner in the move_base navigation stack.

This has been tested on the following ROS 1 distributions:

Publisher List

~<name>/plan (nav_msgs/Path): Last plan computed, published every time the planner computes a new path

Parameter List

Global Planner

  • int max_num_iter_: Maximum number of iterations to search for path
  • int min_num_iter_: Minimum number of iterations to search for path
  • world_coords world_near_radius_: Search radius (in world coordinates)
  • world_coords world_dist_dichotomy_: Dichotomy distance (in world coordinates), the minimum allowable distance between nodes created in CreateNode
  • world_coords world_goal_accessible_dist_: Threshold for considering goal position to be accessible from current position
  • world_coords world_expand_dist_: Maximum distance to expand tree when adding new nodes
  • double goal_frequency_: Frequency of random node being set to goal node

Global Costmap

  • map_cost lethal_cost_: Cost at which to consider a cell inaccessible

Quick Start Guide

We have containerized our planner to make testing quick and easy. Due to the use of GUI applications, there may be some additional setup required beyond just installing Docker.

Once you have setup Docker and a way of displaying GUI applications running inside a Docker container, check the sections below.

Next, build the docker image and run the container with the included bash script: ./docker/build_and_run_docker.bash. NOTE: Do not run this script from the docker folder.

Assuming nothing went wrong you should now be inside the husky image container.

Important Locations Inside Container

There are two important locations inside the container - /opt/ros/$ROS_DISTRO where all the ros debian packages such as the husky stack are installed and /root/catkin_ws which contains any source packages.

/root/catkin_ws contains a scripts and a src folder. The former contains scripts for running Gazebo, Rviz, and the planner in various modes. The latter contains the source code for the Fast-RRT* planner which was copied into the image.

Other than the planner source code, you can also modify the husky description and navigation launch files found in /opt/ros/$ROS_DISTRO/share/husky_description and /opt/ros/$ROS_DISTRO/share/husky_navigation respectively. Modified versions are included in the docker folder and are copied into the image when the Dockerfile is built by build_and_run_docker.bash.

The Fast-RRT* planner configuration file is copied into the appropriate location in the image as specified in the Dockerfile. This has parameters that control the behavior of the planner and should be adjusted before running the docker container.

The husky description was modified from the default to enable the LiDAR sensor.

The husky navigation launch files were modified to use our Fast-RRT* global planner instead of the default and to allow for debugging with valgrind if desired.

Running Simulation

To actually run the sim, you will need at least three terminal sessions. feel free to use tmux or screen if you're comfortable with those utilities. Otherwise you can connect to the container using additional terminals and running docker exec -it <container_id> bash. Use docker ps to see running containers and their IDs.

NOTE: The following scripts should be run from the /root/catkin_ws/ directory inside the docker container, which you should be in by default (i.e., run ./scripts/<script_name> and not cd scripts && ./<script_name>).

Terminal 1: Gazebo

In the first bash session, execute the first script: ./scripts/1_gazebo.bash

Terminal 2: RViz

In the second bash session, execute the second script: ./scripts/2_rviz.bash

Suggested RViz Settings
  • Disable Odometry
  • Enable Navigation
  • Disable Local Costmap
  • Expand Global Plan by clicking on the arrow to the left
    • After running the navigation node (see terminal 3), adjust Topic:
      • Fast-RRT*: /move_base/DWAPlannerROS/global_plan
      • Default: /move_base/NavfnROS/plan

Terminal 3: Navigation

In the third bash session, execute the third script corresponding to the option you want:

  • Fast-RRT*
    • Release: ./scripts/3_fast_rrt_star.bash
    • Debug: ./scripts/3_fast_rrt_star_debug.bash
    • Debug with Valgrind: ./scripts/3_fast_rrt_star_debug_valgrind.bash
  • move_base Default
    • ./scripts/3_default.bash

Recording Activity

A gazebo instance with a husky in it and an rviz instance should open. You should also check that the third terminal has not crashed before proceeding.

If you wish to record your current activity you can use the command rosbag record --topics <topic1> <topic2> <topic3> ..... to do so. You can also make a standardized bash script to make this easier.

Once you've confirmed everything is working and started your bag, select the 2d nav goal in rviz and place a goal down where you'd like the robot to move. If your planner is working correctly you'll see a green line from the robot to the goal that doesn't intersect obstacles. If you don't see that happen then it is time to debug.

License

This work is published under the MIT License. Please see LICENSE for details.

APPROVED FOR PUBLIC RELEASE. CASE NUMBER: 22-3318

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ROS Global Path Planner Plugin based on the F-RRT* algorithm from this paper: https://doi.org/10.1016/j.eswa.2021.115457

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