Graceful Controller

Source code on Github.

The graceful controller implements a controller based on the works of Jong Jin Park and Benjamin Kuipers in "A Smooth Control Law for Graceful Motion of Differential Wheeled Mobile Robots in 2D Environment" (ICRA 2011). In this implementation, a motion_target is set at a distance away from the robot that is exponentially stable to generate a smooth trajectory for the robot to follow.

See the package's README for more complete information.

Graceful Controller Parameters

`transform_tolerance`

Type: double Default: 1.0: The TF transform tolerance (s).

`max_lookahead`

Type: double Default: 1.0: The maximum lookahead distance (m) to use when selecting a target pose for the underlying control law. Using poses that are further away will generally result in smoother operations, but simulating poses that are very far away can result in reduced performance, especially in tight or cluttered environments. If the controller cannot forward simulate to a pose this far away without colliding, it will iteratively select a target pose that is closer to the robot.

`min_lookahead`

Type: double Default: 0.25: The minimum lookahead distance (m) to use when selecting a target pose for the underlying control law. This parameter avoids instability when an unexpected obstacle appears in the path of the robot by returning failure, which typically triggers replanning.

`max_robot_pose_search_dist`

Type: double Default: Local costmap max extent (max(width, height) / 2): Upper bound on integrated distance along the global plan to search for the closest pose to the robot pose. This should be left as the default unless there are paths with loops and intersections that do not leave the local costmap, in which case making this value smaller is necessary to prevent shortcutting. If set to -1, it will use the maximum distance possible to search every point on the path for the nearest path point.

`k_phi`

Type: double Default: 2.0: Ratio of the rate of change in phi to the rate of change in r. Controls the convergence of the slow subsystem. If this value is equal to zero, the controller will behave as a pure waypoint follower. A high value offers extreme scenario of pose-following where theta is reduced much faster than r. The referenced paper calls this k1.

`k_delta`

Type: double Default: 1.0: Constant factor applied to the heading error feedback. Controls the convergence of the fast subsystem. The bigger the value, the robot converge faster to the reference heading. The referenced paper calls this k2.

`beta`

Type: double Default: 0.4: Constant factor applied to the path curvature. This value must be positive. Determines how fast the velocity drops when the curvature increases.

`lambda`

Type: double Default: 2.0: Constant factor applied to the path curvature. This value must be greater or equal to 1. Determines the sharpness of the curve: higher lambda implies sharper curves.

`v_linear_min`

Type: double Default: 0.1: Minimum linear velocity (m/s).

`v_linear_max`

Type: double Default: 0.5: Maximum linear velocity (m/s).

`v_angular_max`

Type: double Default: 1.0: Maximum angular velocity (rad/s) produced by the control law.

`v_angular_min_in_place`

Type: double Default: 0.25: Minimum angular velocity (rad/s) produced by the control law when rotating in place. This value should be based on the minimum rotation speed controllable by the robot.

`slowdown_radius`

Type: double Default: 1.5: Radius (m) around the goal pose in which the robot will start to slow down.

`initial_rotation`

Type: bool Default: true: Enable a rotation in place to the goal before starting the path. The control law may generate large sweeping arcs to the goal pose, depending on the initial robot orientation and k_phi, k_delta.

`initial_rotation_tolerance`

Type: double Default: 0.75: The difference in the path orientation and the starting robot orientation to trigger a rotate in place, if initial_rotation is enabled. This value is generally acceptable if continuous replanning is enabled. If not using continuous replanning, a lower value may perform better.

`prefer_final_rotation`

Type: bool Default: true: The control law can generate large arcs when the goal orientation is not aligned with the path. If this is enabled, the orientation of the final pose will be ignored and the robot will follow the orientation of the path and will make a final rotation in place to the goal orientation.

`rotation_scaling_factor`

Type: double Default: 0.5: The scaling factor applied to the rotation in place velocity.

`allow_backward`

Type: bool Default: false: Whether to allow the robot to move backward.

`in_place_collision_resolution`

Type: double Default: 0.1: When performing an in-place rotation after the XY goal tolerance has been met, this is the angle (in radians) between poses to check for collision.

Example

controller_server:
  ros__parameters:
    controller_frequency: 20.0
    min_x_velocity_threshold: 0.001
    min_y_velocity_threshold: 0.5
    min_theta_velocity_threshold: 0.001
    progress_checker_plugins: ["progress_checker"] # progress_checker_plugin: "progress_checker" For Humble and older
    goal_checker_plugins: ["goal_checker"]
    controller_plugins: ["FollowPath"]

    progress_checker:
      plugin: "nav2_controller::SimpleProgressChecker"
      required_movement_radius: 0.5
      movement_time_allowance: 10.0
    goal_checker:
      plugin: "nav2_controller::SimpleGoalChecker"
      xy_goal_tolerance: 0.25
      yaw_goal_tolerance: 0.25
      stateful: True
    FollowPath:
      plugin: nav2_graceful_controller::GracefulController
      transform_tolerance: 0.1
      min_lookahead: 0.25
      max_lookahead: 1.0
      initial_rotation: true
      initial_rotation_threshold: 0.75
      prefer_final_rotation: true
      allow_backward: false
      k_phi: 2.0
      k_delta: 1.0
      beta: 0.4
      lambda: 2.0
      v_linear_min: 0.1
      v_linear_max: 0.5
      v_angular_max: 5.0
      v_angular_min_in_place: 0.25
      slowdown_radius: 1.5