Nav2 Autonomous Navigation in Production

    1

    Implement autonomous ROS 2 navigation, SLAM mapping, and multi-waypoint patrol scripts with Nav2.

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    Nav2 Autonomous Navigation in Production

    Example session with this skill installed

    My robot keeps spinning in place near the goal and eventually gives up. Help me tune the Nav2 parameters and write a simple waypoint patrol script for three rooms.

    • Read your context and instructions
    • Compiled the nav2 autonomous navigation

    I have analyzed the navigation failure. Spinning in place near the goal usually indicates that the yaw goal tolerance is too tight or the controller critics are fighting the inflation layer. I have adjusted the DWB controller parameters to allow more flexibility and generated a patrol script using the Simple Commander API.

    Nav2 Configuration and Patrol Script

    
    # tuned_nav2_params.yaml
    controller_server:
      ros__parameters:
        FollowPath:
          plugin: "dwb_core::DWBLocalPlanner"
          # Increased tolerances to prevent oscillation/spinning
          xy_goal_tolerance: 0.25
          yaw_goal_tolerance: 0.15
          stateful: True
          critics: ["RotateToGoal", "Oscillation", "ObstacleFootprint", "GoalAlign", "PathAlign", "PathDist", "GoalDist"]
          RotateToGoal.scale: 32.0
          RotateToGoal.slowing_factor: 5.0
          RotateToGoal.lookahead_time: -1.0
    
    
    # room_patrol.py
    from nav2_simple_commander.robot_navigator import BasicNavigator, TaskResult
    import rclpy
    from geometry_msgs.msg import PoseStamped
    
    def main():
        rclpy.init()
        nav = BasicNavigator()
    
        # Define room waypoints
        waypoints = []
        poses = [[2.0, 1.0, 0.0], [5.5, -2.0, 1.57], [-1.0, 4.0, 3.14]]
        
        for p in poses:
            goal = PoseStamped()
            goal.header.frame_id = 'map'
            goal.pose.position.x = p[0]
            goal.pose.position.y = p[1]
            goal.pose.orientation.z = p[2] # Simplified
            waypoints.append(goal)
    
        nav.waitUntilNav2Active()
        
        while rclpy.ok():
            nav.followWaypoints(waypoints)
            while not nav.isTaskComplete():
                feedback = nav.getFeedback()
            
            result = nav.getResult()
            if result == TaskResult.SUCCEEDED:
                print("Patrol cycle complete.")
            else:
                print("Patrol failed, retrying...")
    
    if __name__ == '__main__':
        main()
    

    Next steps

    1. Upload the tuned_nav2_params.yaml to your robot and restart the controller_server.
    2. Verify the map to base_link transform is stable in RViz before running the script.
    3. Test the patrol script in a simulator like Gazebo or Ignition before hardware deployment.

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    About this skill

    Localization, costmaps, MPPI/RPP tuning and field metrics.

    Make a ROS 2 mobile robot navigate autonomously with Nav2 - SLAM mapping, localization, costmap and controller tuning, waypoint patrols - validated in simulation before the real robot. Use when the user wants autonomous navigation, a map of a building, patrol routes, or when Nav2 fails to plan, oscillates, or gets stuck.

    Includes an EXPERT.md reference (exact parameters, thresholds, failure diagnosis).

    Acceptable use: civil and commercial applications only. Any military, paramilitary or weapon-related use is prohibited, as stated in the skill itself.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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