Collision meshes for lbr iisy3 + planning config (#28)

* remeshed collision

* add planning yamls

* enforce_constrained_state_space

* set traj visual to true in rviz config

* add projection_evaluator

---------

Co-authored-by: Svastits <svastits1@gmail.com>
Co-authored-by: kovacsge11 <kovacsge11@gmail.com>

kuka_lbr_iisy_moveit_config/config/chomp_planning.yaml

@@ -0,0 +1,35 @@
+planning_plugin: chomp_interface/CHOMPPlanner
+request_adapters: >-
+  default_planner_request_adapters/AddTimeOptimalParameterization
+  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
+animate_path: true
+add_randomness: false
+smoothness_cost_velocity: 0.0
+smoothness_cost_acceleration: 1.0
+smoothness_cost_jerk: 0.0
+hmc_discretization: 0.01
+hmc_stochasticity: 0.01
+hmc_annealing_factor: 0.99
+use_hamiltonian_monte_carlo: false
+ridge_factor: 0.0
+use_pseudo_inverse: false
+pseudo_inverse_ridge_factor: 1e-4
+animate_endeffector: false
+joint_update_limit: 0.1
+collision_clearance: 0.2
+collision_threshold: 0.07
+random_jump_amount: 1.0
+use_stochastic_descent: true
+enable_failure_recovery: false
+max_recovery_attempts: 5
+trajectory_initialization_method: "quintic-spline"

kuka_lbr_iisy_moveit_config/config/ompl_planning.yaml

@@ -0,0 +1,172 @@
+planning_plugin: ompl_interface/OMPLPlanner
+# To optionally use Ruckig for jerk-limited smoothing, add this line to the request adapters below
+# default_planner_request_adapters/AddRuckigTrajectorySmoothing
+request_adapters: >-
+  default_planner_request_adapters/AddTimeOptimalParameterization
+  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
+start_state_max_bounds_error: 0.1
+planner_configs:
+  APSConfigDefault:
+    type: geometric::AnytimePathShortening
+    shortcut: 1  # Attempt to shortcut all new solution paths
+    hybridize: 1  # Compute hybrid solution trajectories
+    max_hybrid_paths: 36  # Number of hybrid paths generated per iteration
+    num_planners: 8  # The number of default planners to use for planning
+    planners: "RRTConnect,RRTConnect,RRTConnect,RRTConnect,RRTConnect,RRTConnect,RRTConnect,RRTConnect"  # 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]"
+  SBLkConfigDefault:
+    type: geometric::SBL
+    range: 0.0  # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup()
+  ESTkConfigDefault:
+    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
+  LBKPIECEkConfigDefault:
+    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
+  BKPIECEkConfigDefault:
+    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
+  KPIECEkConfigDefault:
+    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
+  RRTkConfigDefault:
+    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
+  RRTConnectkConfigDefault:
+    type: geometric::RRTConnect
+    range: 0.0  # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup()
+  RRTstarkConfigDefault:
+    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
+  TRRTkConfigDefault:
+    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()
+  PRMkConfigDefault:
+    type: geometric::PRM
+    max_nearest_neighbors: 10  # use k nearest neighbors. default: 10
+  PRMstarkConfigDefault:
+    type: geometric::PRMstar
+  FMTkConfigDefault:
+    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
+  BFMTkConfigDefault:
+    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
+  PDSTkConfigDefault:
+    type: geometric::PDST
+  STRIDEkConfigDefault:
+    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
+  BiTRRTkConfigDefault:
+    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
+  LBTRRTkConfigDefault:
+    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
+  BiESTkConfigDefault:
+    type: geometric::BiEST
+    range: 0.0  # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup()
+  ProjESTkConfigDefault:
+    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
+  LazyPRMkConfigDefault:
+    type: geometric::LazyPRM
+    range: 0.0  # Max motion added to tree. ==> maxDistance_ default: 0.0, if 0.0, set on setup()
+  LazyPRMstarkConfigDefault:
+    type: geometric::LazyPRMstar
+  SPARSkConfigDefault:
+    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
+  SPARStwokConfigDefault:
+    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
+  TrajOptDefault:
+    type: geometric::TrajOpt
+
+lbr_iisy_arm:
+  enforce_constrained_state_space: true
+  projection_evaluator: joints(joint_a1,joint_a2)
+  planner_configs:
+    - APSConfigDefault
+    - SBLkConfigDefault
+    - ESTkConfigDefault
+    - LBKPIECEkConfigDefault
+    - BKPIECEkConfigDefault
+    - KPIECEkConfigDefault
+    - RRTkConfigDefault
+    - RRTConnectkConfigDefault
+    - RRTstarkConfigDefault
+    - TRRTkConfigDefault
+    - PRMkConfigDefault
+    - PRMstarkConfigDefault
+    - FMTkConfigDefault
+    - BFMTkConfigDefault
+    - PDSTkConfigDefault
+    - STRIDEkConfigDefault
+    - BiTRRTkConfigDefault
+    - LBTRRTkConfigDefault
+    - BiESTkConfigDefault
+    - ProjESTkConfigDefault
+    - LazyPRMkConfigDefault
+    - LazyPRMstarkConfigDefault
+    - SPARSkConfigDefault
+    - SPARStwokConfigDefault
+    - TrajOptDefault

kuka_lbr_iisy_moveit_config/config/stomp_planning.yaml

@@ -0,0 +1,17 @@
+planning_plugin: stomp_moveit/StompPlanner
+request_adapters: >-
+  default_planner_request_adapters/AddTimeOptimalParameterization
+  default_planner_request_adapters/FixWorkspaceBounds
+  default_planner_request_adapters/FixStartStateBounds
+  default_planner_request_adapters/FixStartStateCollision
+  default_planner_request_adapters/FixStartStatePathConstraints
+
+stomp_moveit:
+  num_timesteps: 60
+  num_iterations: 40
+  num_iterations_after_valid: 0
+  num_rollouts: 30
+  max_rollouts: 30
+  exponentiated_cost_sensitivity: 0.5
+  control_cost_weight: 0.1
+  delta_t: 0.1

kuka_lbr_iisy_moveit_config/config/urdf_planning_scene.rviz

@@ -324,7 +324,7 @@ Visualization Manager:
       Robot Color: 150; 50; 150
       Robot Description: robot_description
       Show Robot Collision: false
-      Show Robot Visual: false
+      Show Robot Visual: true
       Show Trail: false
       State Display Time: 3x
       Trail Step Size: 1