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Stretch robot #19

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18 changes: 18 additions & 0 deletions stretch/config/chomp_planning.yaml
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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: 0.01
use_pseudo_inverse: false
pseudo_inverse_ridge_factor: 1e-4
joint_update_limit: 0.1
collision_clearence: 0.2
collision_threshold: 0.07
use_stochastic_descent: true
enable_failure_recovery: true
max_recovery_attempts: 5
16 changes: 16 additions & 0 deletions stretch/config/fake_controllers.yaml
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controller_list:
- name: fake_stretch_arm_controller
joints:
- joint_lift
- joint_arm_l3
- joint_arm_l2
- joint_arm_l1
- joint_arm_l0
- joint_wrist_yaw
- name: fake_gripper_controller
joints:
- joint_gripper_finger_left
- joint_gripper_finger_right
initial: # Define initial robot poses.
- group: stretch_arm
pose: home
243 changes: 243 additions & 0 deletions stretch/config/fetch_pick.yml

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50 changes: 50 additions & 0 deletions stretch/config/joint_limits.yaml
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# joint_limits.yaml allows the dynamics properties specified in the URDF to be overwritten or augmented as needed

# For beginners, we downscale velocity and acceleration limits.
# You can always specify higher scaling factors (<= 1.0) in your motion requests. # Increase the values below to 1.0 to always move at maximum speed.
default_velocity_scaling_factor: 0.1
default_acceleration_scaling_factor: 0.1

# Specific joint properties can be changed with the keys [max_position, min_position, max_velocity, max_acceleration]
# Joint limits can be turned off with [has_velocity_limits, has_acceleration_limits]
joint_limits:
joint_arm_l0:
has_velocity_limits: true
max_velocity: 1
has_acceleration_limits: false
max_acceleration: 0
joint_arm_l1:
has_velocity_limits: true
max_velocity: 1
has_acceleration_limits: false
max_acceleration: 0
joint_arm_l2:
has_velocity_limits: true
max_velocity: 1
has_acceleration_limits: false
max_acceleration: 0
joint_arm_l3:
has_velocity_limits: true
max_velocity: 1
has_acceleration_limits: false
max_acceleration: 0
joint_gripper_finger_left:
has_velocity_limits: true
max_velocity: 1
has_acceleration_limits: false
max_acceleration: 0
joint_gripper_finger_right:
has_velocity_limits: true
max_velocity: 1
has_acceleration_limits: false
max_acceleration: 0
joint_lift:
has_velocity_limits: true
max_velocity: 1
has_acceleration_limits: false
max_acceleration: 0
joint_wrist_yaw:
has_velocity_limits: true
max_velocity: 1
has_acceleration_limits: false
max_acceleration: 0
8 changes: 8 additions & 0 deletions stretch/config/kinematics.yaml
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stretch_arm:
kinematics_solver: kdl_kinematics_plugin/KDLKinematicsPlugin
kinematics_solver_search_resolution: 0.005
kinematics_solver_timeout: 0.005
stretch_head:
kinematics_solver: kdl_kinematics_plugin/KDLKinematicsPlugin
kinematics_solver_search_resolution: 0.005
kinematics_solver_timeout: 0.1
210 changes: 210 additions & 0 deletions stretch/config/ompl_planning.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 expresssion. 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
stretch_arm:
default_planner_config: RRTConnect
planner_configs:
- AnytimePathShortening
- SBL
- EST
- LBKPIECE
- BKPIECE
- KPIECE
- RRT
- RRTConnect
- RRTstar
- TRRT
- PRM
- PRMstar
- FMT
- BFMT
- PDST
- STRIDE
- BiTRRT
- LBTRRT
- BiEST
- ProjEST
- LazyPRM
- LazyPRMstar
- SPARS
- SPARStwo
stretch_gripper:
default_planner_config: RRTConnect
planner_configs:
- AnytimePathShortening
- SBL
- EST
- LBKPIECE
- BKPIECE
- KPIECE
- RRT
- RRTConnect
- RRTstar
- TRRT
- PRM
- PRMstar
- FMT
- BFMT
- PDST
- STRIDE
- BiTRRT
- LBTRRT
- BiEST
- ProjEST
- LazyPRM
- LazyPRMstar
- SPARS
- SPARStwo
stretch_head:
default_planner_config: RRTConnect
planner_configs:
- AnytimePathShortening
- SBL
- EST
- LBKPIECE
- BKPIECE
- KPIECE
- RRT
- RRTConnect
- RRTstar
- TRRT
- PRM
- PRMstar
- FMT
- BFMT
- PDST
- STRIDE
- BiTRRT
- LBTRRT
- BiEST
- ProjEST
- LazyPRM
- LazyPRMstar
- SPARS
- SPARStwo
31 changes: 31 additions & 0 deletions stretch/config/ros_controllers.yaml
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# Publish all joint states
# Creates the /joint_states topic necessary in ROS
joint_state_controller:
type: joint_state_controller/JointStateController
publish_rate: 50
controller_list:
- name: stretch_arm_controller
action_ns: follow_joint_trajectory
default: True
type: FollowJointTrajectory
joints:
- joint_lift
- joint_arm_l3
- joint_arm_l2
- joint_arm_l1
- joint_arm_l0
- joint_wrist_yaw
- name: stretch_head_controller
action_ns: follow_joint_trajectory
default: True
type: FollowJointTrajectory
joints:
- joint_head_pan
- joint_head_tilt
- name: stretch_gripper_controller
action_ns: follow_joint_trajectory
default: True
type: FollowJointTrajectory
joints:
- joint_gripper_finger_left
- joint_gripper_finger_right
10 changes: 10 additions & 0 deletions stretch/config/sensors_3d.yaml
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# The name of this file shouldn't be changed, or else the Setup Assistant won't detect it
sensors:
- filtered_cloud_topic: filtered_cloud
max_range: 5.0
max_update_rate: 1.0
padding_offset: 0.1
padding_scale: 1.0
point_cloud_topic: /head_mount_kinect/depth_registered/points
point_subsample: 1
sensor_plugin: occupancy_map_monitor/PointCloudOctomapUpdater
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