Created path segmenter controller
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3620
toid_navigation/params/output.json
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3620
toid_navigation/params/output.json
Normal file
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@@ -22,22 +22,25 @@ behavior_server:
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local_footprint_topic: local_costmap/published_footprint
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global_footprint_topic: global_costmap/published_footprint
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cycle_frequency: 10.0
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behavior_plugins: ["spin", "backup", "drive_on_heading", "assisted_teleop", "wait"]
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behavior_plugins: ["backup", "spin", "drive_on_heading", "assisted_teleop", "wait"]
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spin:
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plugin: "nav2_behaviors::Spin"
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backup:
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plugin: "nav2_behaviors::BackUp"
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enable_stamped_cmd_vel: true
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simulate_ahead_time: 0.2
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drive_on_heading:
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plugin: "nav2_behaviors::DriveOnHeading"
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wait:
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plugin: "nav2_behaviors::Wait"
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assisted_teleop:
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plugin: "nav2_behaviors::AssistedTeleop"
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local_frame: odom
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local_frame: map
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global_frame: map
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robot_base_frame: base_footprint
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enable_stamped_cmd_vel: true
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transform_tolerance: 0.1
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simulate_ahead_time: 2.0
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simulate_ahead_time: 0.2
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max_rotational_vel: 1.0
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min_rotational_vel: 0.1
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rotational_acc_lim: 3.2
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@@ -45,22 +48,23 @@ behavior_server:
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global_costmap:
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global_costmap:
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ros__parameters:
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update_frequency: 1.0
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update_frequency: 5.0
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publish_frequency: 1.0
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global_frame: map
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robot_base_frame: base_footprint
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robot_radius: 0.18
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footprint: "[[-0.08, 0.15], [0.22, 0.15], [0.22, -0.15], [-0.08, -0.15]]"
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footprint_padding: 0.02
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track_unknown_space: false
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rolling_window: false
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plugins: ["static_layer", "inflation_layer"]
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static_layer:
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plugin: "nav2_costmap_2d::StaticLayer"
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footprint_clearing_enabled: false
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footprint_clearing_enabled: true
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map_subscribe_transient_local: True
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inflation_layer:
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plugin: "nav2_costmap_2d::InflationLayer"
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footprint_clearing_enabled: false
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cost_scaling_factor: 12.0
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footprint_clearing_enabled: true
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cost_scaling_factor: 6.0
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inflation_radius: 0.40
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always_send_full_costmap: True
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@@ -69,8 +73,8 @@ local_costmap:
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ros__parameters:
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update_frequency: 5.0
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publish_frequency: 2.0
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footprint: "[[-0.13, 0.16], [0.13, 0.16], [0.13, -0.16], [-0.13, -0.16]]"
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footprint_padding: 0.02
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footprint: "[[-0.08, 0.15], [0.22, 0.15], [0.22, -0.15], [-0.08, -0.15]]"
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footprint_padding: 0.01
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#robot_radius: 0.18
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global_frame: map
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robot_base_frame: base_footprint
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@@ -82,25 +86,57 @@ local_costmap:
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plugins: ["static_layer", "inflation_layer"]
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static_layer:
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plugin: "nav2_costmap_2d::StaticLayer"
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footprint_clearing_enabled: true
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map_subscribe_transient_local: True
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inflation_layer:
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plugin: "nav2_costmap_2d::InflationLayer"
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cost_scaling_factor: 10.0
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inflation_radius: 0.45
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cost_scaling_factor: 3.0
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inflation_radius: 0.40
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planner_server:
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ros__parameters:
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allow_partial_planning: false
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expected_planner_frequency: 20.0
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expected_planner_frequency: 0.02
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costmap_update_timeout: 1.0
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introspection_mode: "disabled"
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planner_plugins: ['GridBased']
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GridBased:
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plugin: 'nav2_navfn_planner::NavfnPlanner'
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plugin: "nav2_smac_planner::SmacPlannerLattice" # In Iron and older versions, "/" was used instead of "::"
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allow_unknown: true # Allow traveling in unknown space
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tolerance: 0.05 # dist-to-goal heuristic cost (distance) for valid tolerance endpoints if exact goal cannot be found.
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max_iterations: 1000000 # Maximum total iterations to search for before failing (in case unreachable), set to -1 to disable
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max_on_approach_iterations: 1000 # Maximum number of iterations after within tolerances to continue to try to find exact solution
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max_planning_time: 5.0 # Max time in s for planner to plan, smooth
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analytic_expansion_ratio: 3.5 # The ratio to attempt analytic expansions during search for final approach.
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analytic_expansion_max_length: 0.1 # For Hybrid/Lattice nodes The maximum length of the analytic expansion to be considered valid to prevent unsafe shortcutting
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analytic_expansion_max_cost: 50.0 # The maximum single cost for any part of an analytic expansion to contain and be valid, except when necessary on approach to goal
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analytic_expansion_max_cost_override: false # Whether or not to override the maximum cost setting if within critical distance to goal (ie probably required)
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downsample_obstacle_heuristic: true # Downsample the obstacle map dynamic programming distance expansion heuristic to speed up search at the cost of some path quality
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use_quadratic_cost_penalty: false # Use quadratic cost penalty for traversal and heuristic cost computations rather than linear
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reverse_penalty: 1.0 # Penalty to apply if motion is reversing, must be => 1
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change_penalty: 0.00 # Penalty to apply if motion is changing directions (L to R), must be >= 0
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non_straight_penalty: 1.2 # Penalty to apply if motion is non-straight, must be => 1
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cost_penalty: 2.5 # Penalty to apply to higher cost areas when adding into the obstacle map dynamic programming distance expansion heuristic. This drives the robot more towards the center of passages. A value between 1.3 - 3.5 is reasonable.
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rotation_penalty: 4.0 # Penalty to apply to in-place rotations, if minimum control set contains them
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retrospective_penalty: 0.015
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lookup_table_size: 1.0 # Size of the dubin/reeds-sheep distance window to cache, in meters.
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cache_obstacle_heuristic: false # Cache the obstacle map dynamic programming distance expansion heuristic between subsequent replannings of the same goal location. Dramatically speeds up replanning performance (40x) if costmap is largely static.
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allow_reverse_expansion: true # If true, allows the robot to use the primitives to expand in the mirrored opposite direction of the current robot's orientation (to reverse).
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coarse_search_resolution: 1 # Number of bins to skip when doing a coarse search for the path. Only used for all_direction goal heading mode.
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goal_heading_mode: "DEFAULT" # DEFAULT, BIDIRECTIONAL, ALL_DIRECTION
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smooth_path: True # If true, does a simple and quick smoothing post-processing to the path
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smoother:
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max_iterations: 1000
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w_smooth: 0.3
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w_data: 0.2
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tolerance: 1.0e-10
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do_refinement: true
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refinement_num: 2
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controller_server:
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ros__parameters:
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controller_frequency: 20.0
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controller_frequency: 100.0
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costmap_update_timeout: 0.3
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failure_tolerance: 0.3
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odom_topic: "odom"
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@@ -115,146 +151,39 @@ controller_server:
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movement_time_allowance: 5.0
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goal_checker:
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plugin: "nav2_controller::SimpleGoalChecker"
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xy_goal_tolerance: 0.10
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xy_goal_tolerance: 0.04
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yaw_goal_tolerance: 0.10
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stateful: True
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FollowPath:
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# plugin: "dwb_core::DWBLocalPlanner"
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# debug_trajectory_details: True
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# min_vel_x: 0.0
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# min_vel_y: 0.0
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# max_vel_x: 0.26
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# max_vel_y: 0.0
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# max_vel_theta: 1.0
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# min_speed_xy: 0.0
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# max_speed_xy: 0.26
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# min_speed_theta: 0.0
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# acc_lim_x: 2.5
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# acc_lim_y: 0.0
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# acc_lim_theta: 3.2
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# decel_lim_x: -2.5
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# decel_lim_y: 0.0
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# decel_lim_theta: -3.2
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# vx_samples: 20
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# vtheta_samples: 20
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# sim_time: 1.7
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# linear_granularity: 0.05
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# angular_granularity: 0.025
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# transform_tolerance: 0.2
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# xy_goal_tolerance: 0.10
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# trans_stopped_velocity: 0.25
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# short_circuit_trajectory_evaluation: True
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# limit_vel_cmd_in_traj: False
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# stateful: True
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# critics: ["RotateToGoal", "Oscillation", "ObstacleFootprint", "GoalAlign", "PathAlign", "PathDist", "GoalDist"]
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# ObstacleFootprint.scale: 1.00
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# PathAlign.scale: 32.0
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# GoalAlign.scale: 24.0
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# PathAlign.forward_point_distance: 0.05
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# GoalAlign.forward_point_distance: 0.05
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# PathDist.scale: 32.0
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# GoalDist.scale: 24.0
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# RotateToGoal.scale: 32.0
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# RotateToGoal.slowing_factor: 5.0
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# RotateToGoal.lookahead_time: -1.0
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plugin: "nav2_mppi_controller::MPPIController"
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time_steps: 56
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model_dt: 0.05
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batch_size: 2000
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ax_max: 3.0
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ax_min: -3.0
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ay_max: 3.0
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ay_min: -3.0
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az_max: 3.5
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vx_std: 0.2
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vy_std: 0.2
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wz_std: 0.4
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vx_max: 0.5
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vx_min: -0.35
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vy_max: 0.5
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wz_max: 1.9
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iteration_count: 1
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prune_distance: 1.7
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transform_tolerance: 0.1
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temperature: 0.3
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gamma: 0.015
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motion_model: "DiffDrive"
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visualize: true
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publish_optimal_trajectory: true
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regenerate_noises: true
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TrajectoryVisualizer:
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trajectory_step: 5
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time_step: 3
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TrajectoryValidator:
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# The validator can be configured with additional parameters if needed.
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plugin: "mppi::DefaultOptimalTrajectoryValidator"
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collision_lookahead_time: 1.0 # Time to look ahead to check for collisions
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consider_footprint: true # Whether to consider the full robot's footprint (or circle) in trajectory validation collision checks
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AckermannConstraints:
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min_turning_r: 0.2
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critics:
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[
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"ConstraintCritic",
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"CostCritic",
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"GoalCritic",
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"GoalAngleCritic",
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"PathAlignCritic",
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"PathFollowCritic",
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"PathAngleCritic",
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"PreferForwardCritic",
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]
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ConstraintCritic:
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enabled: true
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cost_power: 1
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cost_weight: 4.0
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GoalCritic:
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enabled: true
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cost_power: 1
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cost_weight: 5.0
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threshold_to_consider: 1.4
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GoalAngleCritic:
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enabled: true
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cost_power: 1
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cost_weight: 3.0
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threshold_to_consider: 0.5
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PreferForwardCritic:
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enabled: true
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cost_power: 1
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cost_weight: 5.0
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threshold_to_consider: 0.5
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CostCritic:
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enabled: true
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cost_power: 1
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cost_weight: 3.81
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near_collision_cost: 253
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critical_cost: 300.0
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consider_footprint: true
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collision_cost: 1000000.0
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near_goal_distance: 1.0
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trajectory_point_step: 2
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PathAlignCritic:
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enabled: true
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cost_power: 1
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cost_weight: 14.0
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max_path_occupancy_ratio: 0.05
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trajectory_point_step: 4
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threshold_to_consider: 0.5
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offset_from_furthest: 20
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use_path_orientations: false
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PathFollowCritic:
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enabled: true
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cost_power: 1
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cost_weight: 5.0
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offset_from_furthest: 5
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threshold_to_consider: 1.4
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PathAngleCritic:
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enabled: true
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cost_power: 1
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cost_weight: 2.0
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offset_from_furthest: 4
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threshold_to_consider: 0.5
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max_angle_to_furthest: 1.0
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mode: 0
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plugin: "toid::SpinnerController"
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primary_controller:
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plugin: "nav2_regulated_pure_pursuit_controller::RegulatedPurePursuitController"
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desired_linear_vel: 0.50
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lookahead_dist: 0.1
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min_lookahead_dist: 0.08
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max_lookahead_dist: 0.15
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lookahead_time: 0.2
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rotate_to_heading_angular_vel: 0.8
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use_velocity_scaled_lookahead_dist: true
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min_approach_linear_velocity: 0.1
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approach_velocity_scaling_dist: 0.6
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use_collision_detection: true
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max_allowed_time_to_collision_up_to_carrot: 0.3
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use_regulated_linear_velocity_scaling: true
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use_fixed_curvature_lookahead: false
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curvature_lookahead_dist: 0.1
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use_cost_regulated_linear_velocity_scaling: true
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cost_scaling_dist: 0.1
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cost_scaling_gain: 1.5
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regulated_linear_scaling_min_radius: 0.9
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regulated_linear_scaling_min_speed: 0.25
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use_rotate_to_heading: false
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allow_reversing: true
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max_angular_accel: 3.2
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min_distance_to_obstacle: 0.0
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max_robot_pose_search_dist: 0.5
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use_cancel_deceleration: true
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stateful: true
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lifecycle_manager:
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ros__parameters:
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