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Ros2RoboticsCpp

Implement popular robotics algorithms in C++ and ROS2

  • To-do-list
    • Localization:
      • EKF localization
      • Particle filter localization
    • Mapping:
      • Lidar to grid map
      • Kmeans_clustering
    • SLAM:
      • EKF SLAM
      • FastSLAM
    • Path Planning
      • Dynamic Window Approach
      • A*
      • Probabilistic Road-Map
      • Rapid-Exploring Random Trees (RRT)

Localization

  • EKF_localization

    • Red Markers: Robot pose estimated with EKF
    • Blue Markers: Ground-truth poses
    • Green Markers: Robot poses obtained from Observations
    • Black Markers: Robot pose estimated with Dead Reckoning
    ros2 launch ekf_localization ekf_launch.launch.py

  • Particle_filter

    • Red Markers: Robot pose estimated with Particle Filter
    • Blue Markers: Ground-truth poses
    • Green Markers: Particles poses
    • Black Markers: Robot pose estimated with Dead Reckoning
    • Brown Markers: Landmarks
    ros2 launch particle_filter particle_filter.launch.py

  • Lidar2GridMap

    • Left plot: 2D Laser scanning point cloud
    • Right plot: Occupancy grid map
    ros2 launch lidar2gridmap lidar2gridmap.launch.py 

  • Kmeans_clustering

    • Red Sphere: Object pose
    • Cluster with different colors as different labels
    ros2 launch kmeans_clustering kmeans.launch.py 

  • EKF SLAM

    • Red Sphere: Robot pose estimated with EKF-SLAM
    • Blue Markers: Ground-truth poses
    • Black Markers: Robot pose estimated with Dead Reckoning
    • Black Rec: GT poses of Landmarks
    • Green Rec: Landmark poses estimated with EKF-SLAM
    ros2 launch ekf_slam ekf_slam.launch.py

  • Dynamic Window Apporach

    • Red Sphere: Robot pose and its traversal path
    • Green Markers: Best predicted trajectory
    • Black Markers: Obstacles
    • Yellow Markers: Goal
    ros2 launch dwa dwa_run.launch.py

  • A Star From Both Sides

    • Green Markers: Best predicted trajectory
    • Black Markers: Environment including boundary and obstacles
    • Yellow markers: Passing nodes from star to end
    • Green marker: Passing nodes from end to start
    ros2 launch a_star_two_sides a_star_two_sides.launch.py

  • FastSLAM 1.0

    • Green Markers: Particle poses
    • Black Markers: Robot pose estimated with Dead Reckoning
    • Black Rec: Landmark poses
    • Red Markers: Robot pose estimated with FastSlam 1.0
    • Blue Markers: Robot pose GT
    ros2 launch fast_slam fastSlam1.launch.py

Reference

AtsushiSakai/PythonRobotics

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Implement popular robotics algorithms in C++ and ROS2

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