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[MSA] Merge main into feature/msa (Part II) (#1240)
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<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?> | ||
<package format="3"> | ||
<name>moveit_commander</name> | ||
<version>1.1.6</version> | ||
<version>1.1.7</version> | ||
<description>Python interfaces to MoveIt</description> | ||
<maintainer email="[email protected]">Michael Görner</maintainer> | ||
<maintainer email="[email protected]">Robert Haschke</maintainer> | ||
|
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planning_plugin: chomp_interface/CHOMPPlanner | ||
enable_failure_recovery: true | ||
jiggle_fraction: 0.05 | ||
request_adapters: >- | ||
default_planner_request_adapters/AddTimeParameterization | ||
default_planner_request_adapters/ResolveConstraintFrames | ||
default_planner_request_adapters/FixWorkspaceBounds | ||
default_planner_request_adapters/FixStartStateBounds | ||
default_planner_request_adapters/FixStartStateCollision | ||
default_planner_request_adapters/FixStartStatePathConstraints | ||
ridge_factor: 0.01 | ||
start_state_max_bounds_error: 0.1 |
129 changes: 129 additions & 0 deletions
129
moveit_configs_utils/default_configs/ompl_defaults.yaml
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planner_configs: | ||
AnytimePathShortening: | ||
type: geometric::AnytimePathShortening | ||
shortcut: true # Attempt to shortcut all new solution paths | ||
hybridize: true # Compute hybrid solution trajectories | ||
max_hybrid_paths: 24 # Number of hybrid paths generated per iteration | ||
num_planners: 4 # The number of default planners to use for planning | ||
planners: "" # A comma-separated list of planner types (e.g., "PRM,EST,RRTConnect"Optionally, planner parameters can be passed to change the default:"PRM[max_nearest_neighbors=5],EST[goal_bias=.5],RRT[range=10. goal_bias=.1]" | ||
SBL: | ||
type: geometric::SBL | ||
range: 0.0 # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup() | ||
EST: | ||
type: geometric::EST | ||
range: 0.0 # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0 setup() | ||
goal_bias: 0.05 # When close to goal select goal, with this probability. default: 0.05 | ||
LBKPIECE: | ||
type: geometric::LBKPIECE | ||
range: 0.0 # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup() | ||
border_fraction: 0.9 # Fraction of time focused on boarder default: 0.9 | ||
min_valid_path_fraction: 0.5 # Accept partially valid moves above fraction. default: 0.5 | ||
BKPIECE: | ||
type: geometric::BKPIECE | ||
range: 0.0 # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup() | ||
border_fraction: 0.9 # Fraction of time focused on boarder default: 0.9 | ||
failed_expansion_score_factor: 0.5 # When extending motion fails, scale score by factor. default: 0.5 | ||
min_valid_path_fraction: 0.5 # Accept partially valid moves above fraction. default: 0.5 | ||
KPIECE: | ||
type: geometric::KPIECE | ||
range: 0.0 # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup() | ||
goal_bias: 0.05 # When close to goal select goal, with this probability. default: 0.05 | ||
border_fraction: 0.9 # Fraction of time focused on boarder default: 0.9 (0.0,1.] | ||
failed_expansion_score_factor: 0.5 # When extending motion fails, scale score by factor. default: 0.5 | ||
min_valid_path_fraction: 0.5 # Accept partially valid moves above fraction. default: 0.5 | ||
RRT: | ||
type: geometric::RRT | ||
range: 0.0 # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup() | ||
goal_bias: 0.05 # When close to goal select goal, with this probability? default: 0.05 | ||
RRTConnect: | ||
type: geometric::RRTConnect | ||
range: 0.0 # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup() | ||
RRTstar: | ||
type: geometric::RRTstar | ||
range: 0.0 # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup() | ||
goal_bias: 0.05 # When close to goal select goal, with this probability? default: 0.05 | ||
delay_collision_checking: 1 # Stop collision checking as soon as C-free parent found. default 1 | ||
TRRT: | ||
type: geometric::TRRT | ||
range: 0.0 # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup() | ||
goal_bias: 0.05 # When close to goal select goal, with this probability? default: 0.05 | ||
max_states_failed: 10 # when to start increasing temp. default: 10 | ||
temp_change_factor: 2.0 # how much to increase or decrease temp. default: 2.0 | ||
min_temperature: 10e-10 # lower limit of temp change. default: 10e-10 | ||
init_temperature: 10e-6 # initial temperature. default: 10e-6 | ||
frountier_threshold: 0.0 # dist new state to nearest neighbor to disqualify as frontier. default: 0.0 set in setup() | ||
frountierNodeRatio: 0.1 # 1/10, or 1 nonfrontier for every 10 frontier. default: 0.1 | ||
k_constant: 0.0 # value used to normalize expression. default: 0.0 set in setup() | ||
PRM: | ||
type: geometric::PRM | ||
max_nearest_neighbors: 10 # use k nearest neighbors. default: 10 | ||
PRMstar: | ||
type: geometric::PRMstar | ||
FMT: | ||
type: geometric::FMT | ||
num_samples: 1000 # number of states that the planner should sample. default: 1000 | ||
radius_multiplier: 1.1 # multiplier used for the nearest neighbors search radius. default: 1.1 | ||
nearest_k: 1 # use Knearest strategy. default: 1 | ||
cache_cc: 1 # use collision checking cache. default: 1 | ||
heuristics: 0 # activate cost to go heuristics. default: 0 | ||
extended_fmt: 1 # activate the extended FMT*: adding new samples if planner does not finish successfully. default: 1 | ||
BFMT: | ||
type: geometric::BFMT | ||
num_samples: 1000 # number of states that the planner should sample. default: 1000 | ||
radius_multiplier: 1.0 # multiplier used for the nearest neighbors search radius. default: 1.0 | ||
nearest_k: 1 # use the Knearest strategy. default: 1 | ||
balanced: 0 # exploration strategy: balanced true expands one tree every iteration. False will select the tree with lowest maximum cost to go. default: 1 | ||
optimality: 1 # termination strategy: optimality true finishes when the best possible path is found. Otherwise, the algorithm will finish when the first feasible path is found. default: 1 | ||
heuristics: 1 # activates cost to go heuristics. default: 1 | ||
cache_cc: 1 # use the collision checking cache. default: 1 | ||
extended_fmt: 1 # Activates the extended FMT*: adding new samples if planner does not finish successfully. default: 1 | ||
PDST: | ||
type: geometric::PDST | ||
STRIDE: | ||
type: geometric::STRIDE | ||
range: 0.0 # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup() | ||
goal_bias: 0.05 # When close to goal select goal, with this probability. default: 0.05 | ||
use_projected_distance: 0 # whether nearest neighbors are computed based on distances in a projection of the state rather distances in the state space itself. default: 0 | ||
degree: 16 # desired degree of a node in the Geometric Near-neightbor Access Tree (GNAT). default: 16 | ||
max_degree: 18 # max degree of a node in the GNAT. default: 12 | ||
min_degree: 12 # min degree of a node in the GNAT. default: 12 | ||
max_pts_per_leaf: 6 # max points per leaf in the GNAT. default: 6 | ||
estimated_dimension: 0.0 # estimated dimension of the free space. default: 0.0 | ||
min_valid_path_fraction: 0.2 # Accept partially valid moves above fraction. default: 0.2 | ||
BiTRRT: | ||
type: geometric::BiTRRT | ||
range: 0.0 # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup() | ||
temp_change_factor: 0.1 # how much to increase or decrease temp. default: 0.1 | ||
init_temperature: 100 # initial temperature. default: 100 | ||
frountier_threshold: 0.0 # dist new state to nearest neighbor to disqualify as frontier. default: 0.0 set in setup() | ||
frountier_node_ratio: 0.1 # 1/10, or 1 nonfrontier for every 10 frontier. default: 0.1 | ||
cost_threshold: 1e300 # the cost threshold. Any motion cost that is not better will not be expanded. default: inf | ||
LBTRRT: | ||
type: geometric::LBTRRT | ||
range: 0.0 # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup() | ||
goal_bias: 0.05 # When close to goal select goal, with this probability. default: 0.05 | ||
epsilon: 0.4 # optimality approximation factor. default: 0.4 | ||
BiEST: | ||
type: geometric::BiEST | ||
range: 0.0 # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup() | ||
ProjEST: | ||
type: geometric::ProjEST | ||
range: 0.0 # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup() | ||
goal_bias: 0.05 # When close to goal select goal, with this probability. default: 0.05 | ||
LazyPRM: | ||
type: geometric::LazyPRM | ||
range: 0.0 # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup() | ||
LazyPRMstar: | ||
type: geometric::LazyPRMstar | ||
SPARS: | ||
type: geometric::SPARS | ||
stretch_factor: 3.0 # roadmap spanner stretch factor. multiplicative upper bound on path quality. It does not make sense to make this parameter more than 3. default: 3.0 | ||
sparse_delta_fraction: 0.25 # delta fraction for connection distance. This value represents the visibility range of sparse samples. default: 0.25 | ||
dense_delta_fraction: 0.001 # delta fraction for interface detection. default: 0.001 | ||
max_failures: 1000 # maximum consecutive failure limit. default: 1000 | ||
SPARStwo: | ||
type: geometric::SPARStwo | ||
stretch_factor: 3.0 # roadmap spanner stretch factor. multiplicative upper bound on path quality. It does not make sense to make this parameter more than 3. default: 3.0 | ||
sparse_delta_fraction: 0.25 # delta fraction for connection distance. This value represents the visibility range of sparse samples. default: 0.25 | ||
dense_delta_fraction: 0.001 # delta fraction for interface detection. default: 0.001 | ||
max_failures: 5000 # maximum consecutive failure limit. default: 5000 |
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planning_plugin: ompl_interface/OMPLPlanner | ||
start_state_max_bounds_error: 0.1 | ||
jiggle_fraction: 0.05 | ||
request_adapters: >- | ||
default_planner_request_adapters/AddTimeParameterization | ||
default_planner_request_adapters/ResolveConstraintFrames | ||
default_planner_request_adapters/FixWorkspaceBounds | ||
default_planner_request_adapters/FixStartStateBounds | ||
default_planner_request_adapters/FixStartStateCollision | ||
default_planner_request_adapters/FixStartStatePathConstraints |
6 changes: 6 additions & 0 deletions
6
moveit_configs_utils/default_configs/pilz_industrial_motion_planner_planning.yaml
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planning_plugin: pilz_industrial_motion_planner/CommandPlanner | ||
request_adapters: "" | ||
default_planner_config: PTP | ||
capabilities: >- | ||
pilz_industrial_motion_planner/MoveGroupSequenceAction | ||
pilz_industrial_motion_planner/MoveGroupSequenceService |
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planning_plugin: stomp_moveit/StompPlannerManager | ||
jiggle_fraction: 0.05 | ||
request_adapters: >- | ||
default_planner_request_adapters/AddTimeParameterization | ||
default_planner_request_adapters/FixWorkspaceBounds | ||
default_planner_request_adapters/FixStartStateBounds | ||
default_planner_request_adapters/FixStartStateCollision | ||
default_planner_request_adapters/FixStartStatePathConstraints | ||
start_state_max_bounds_error: 0.1 | ||
planning_time_limit: 10.0 | ||
max_iterations: 200 | ||
max_iterations_after_collision_free: 5 | ||
smoothness_cost_weight: 0.1 | ||
obstacle_cost_weight: 1.0 | ||
learning_rate: 0.01 | ||
smoothness_cost_velocity: 0.0 | ||
smoothness_cost_acceleration: 1.0 | ||
smoothness_cost_jerk: 0.0 | ||
ridge_factor: 0.0 | ||
use_pseudo_inverse: false | ||
pseudo_inverse_ridge_factor: 1e-4 | ||
joint_update_limit: 0.1 | ||
collision_clearance: 0.2 | ||
collision_threshold: 0.07 | ||
use_stochastic_descent: true | ||
enable_failure_recovery: false | ||
max_recovery_attempts: 5 |
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planning_plugin: trajopt_interface/TrajOptPlanner | ||
start_state_max_bounds_error: 0.1 | ||
jiggle_fraction: 0.05 | ||
request_adapters: >- | ||
default_planner_request_adapters/AddTimeParameterization | ||
default_planner_request_adapters/FixWorkspaceBounds | ||
default_planner_request_adapters/FixStartStateBounds | ||
default_planner_request_adapters/FixStartStateCollision | ||
default_planner_request_adapters/FixStartStatePathConstraints |
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from launch.actions import DeclareLaunchArgument | ||
from launch.conditions import IfCondition, UnlessCondition | ||
from launch.substitutions import LaunchConfiguration | ||
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from launch_ros.actions import Node | ||
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class DeclareBooleanLaunchArg(DeclareLaunchArgument): | ||
"""This launch action declares a launch argument with true and false as the only valid values""" | ||
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def __init__(self, name, *, default_value=False, description=None, **kwargs): | ||
super().__init__( | ||
name, | ||
default_value=str(default_value), | ||
description=description, | ||
choices=["true", "false", "True", "False"], | ||
**kwargs, | ||
) | ||
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def add_debuggable_node( | ||
ld, | ||
package, | ||
executable, | ||
condition_name="debug", | ||
commands_file=None, | ||
extra_debug_args=None, | ||
**kwargs, | ||
): | ||
"""Adds two versions of a Node to the launch description, one with gdb debugging, controlled by a launch config""" | ||
standard_node = Node( | ||
package=package, | ||
executable=executable, | ||
condition=UnlessCondition(LaunchConfiguration(condition_name)), | ||
**kwargs, | ||
) | ||
ld.add_action(standard_node) | ||
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if commands_file: | ||
dash_x_arg = f"-x {commands_file} " | ||
else: | ||
dash_x_arg = "" | ||
prefix = [f"gdb {dash_x_arg}--ex run --args"] | ||
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if "arguments" in kwargs: | ||
arguments = kwargs["arguments"] | ||
if extra_debug_args: | ||
arguments += extra_debug_args | ||
del kwargs["arguments"] | ||
else: | ||
arguments = None | ||
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debug_node = Node( | ||
package=package, | ||
executable=executable, | ||
condition=IfCondition(LaunchConfiguration(condition_name)), | ||
prefix=prefix, | ||
arguments=arguments, | ||
**kwargs, | ||
) | ||
ld.add_action(debug_node) |
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