ItemPick and BoxPick¶
Introduction¶
The ItemPick and BoxPick components are optional on-board components of the rc_visard.
Note
The components are optional and require separate ItemPick or BoxPick licenses to be purchased.
The components provide out-of-the-box perception solutions for robotic pick-and-place applications. ItemPick targets the detection of flat surfaces of unknown objects for picking with a suction gripper. BoxPick detects rectangular surfaces and determines their position, orientation and size for grasping. The interface of both components is very similar. Therefore both components are described together in this chapter.
In addition, both components offer:
- a dedicated page on the rc_visard Web GUI for easy setup, configuration, testing, and application tuning
- the definition of regions of interest to select relevant volumes in the scene
- a load carrier detection functionality for bin-picking applications, to provide grasps for items inside a bin only
- the definition of compartments inside a load carrier to provide grasps for specific volumes of the bin only
- support for static and robot-mounted rc_visard devices and optional integration with the on-board Hand-eye calibration component, to provide grasps in the user-configured external reference frame
- a quality value associated to each suggested grasp and related to the flatness of the grasping surface
- sorting of grasps according to gravity and size so that items on top of a pile are grasped first.
Note
In this chapter, cluster and surface are used as synonyms and identify a set of points (or pixels) with defined geometrical properties.
Note
In this chapter, load carrier and bin are used as synonyms and identify a container with four walls, a floor and a rectangular rim.
Data types¶
Region of Interest¶
A region of interest defines a volume in space which is of interest for a specific user-application. The ItemPick and BoxPick components currently support regions of interest of the following types:
BOX, with dimensionsbox.x,box.y,box.z.SPHERE, with radiussphere.radius.
The user can specify the region of interest pose in the camera or the external
coordinate system (see Hand-eye calibration).
Both components can persistently store up to 10 different regions of interest,
each one identified by a different id.
The configuration of regions of interest is normally performed offline
(e.g. on the ItemPick or BoxPick page of the rc_visard Web GUI), during the set up of
the desired application.
Note
As opposed to the component parameters, the configured regions of interest are persistent even over firmware updates and rollbacks.
The region of interest can narrow the volume that is searched for a load carrier model, or select a volume which only contains items to be grasped.
Note
If the region of interest filter is not applied, the components process the whole scene visible to the camera.
Load Carrier¶
A load carrier (bin) is a container with four walls, a floor and a rectangular rim. It
is defined by its outer_dimensions and inner_dimensions.
The load carrier detection algorithm is based on the detection of the load carrier
rectangular rim. By default, the rectangular rim_thickness is computed from the
outer and inner dimensions. As an alternative, its value can also
be explicitly specified by the user.
Note
Typically, outer and inner dimensions of a load carrier are available in the specifications of the load carrier manufacturer.
The load carrier reference frame is defined such that its origin is at the center of the load carrier outer box and its z axis is perpendicular to the load carrier floor.
Fig. 50 Load carrier models and reference frame.
The user can optionally specify a prior for the load carrier pose.
The detected load carrier pose is guaranteed to have the minimum rotation
with respect to the load carrier prior pose.
If no prior is specified, the algorithm searches for a load carrier whose floor
is perpendicular to the estimated gravity vector.
The components can persistently store up to 10 different load carrier models,
each one identified by a different id.
The configuration of a load carrier model is normally performed offline
(e.g. on the ItemPick or BoxPick page of the rc_visard Web GUI), during the set up
the desired application.
Note
As opposed to the component parameters, the configured load carrier models are persistent even over firmware updates and rollbacks.
The modules enable the computation of grasps for a specific
volume of the load carrier (load_carrier_compartment).
The compartment is a box whose pose is defined with respect
to the load carrier reference frame.
Fig. 51 Compartment inside a load carrier.
Suction Grasp¶
A grasp provided by the ItemPick and BoxPick components represents the recommended pose of the TCP (Tool Center Point) of the suction gripper. The grasp orientation is a right-handed coordinate system and is defined such that its z axis is normal to the surface pointing inside the object at the grasp position and its x axis is directed along the maximum elongation of the surface.
The computed grasp pose is the center of the biggest ellipse that can be inscribed in each surface.
Fig. 52 Illustration of suction grasp with coordinate system and ellipse representing the maximum suction surface.
Each grasp includes the dimensions of the maximum suction surface available,
modelled as an ellipse of axes max_suction_surface_length and
max_suction_surface_width. The user is enabled to filter grasps by specifying
the minimum suction surface required by the suction device in use.
In the BoxPick component, the grasp position corresponds to the center of the detected rectangle and the dimensions of the maximum suction surface available matches the estimated rectangle dimensions. Detected rectangles with missing data or occlusions by other objects for more than 15% of their surface do not get an associated grasp.
The grasp definition is complemented by a uuid (Universally Unique Identifier) and the
timestamp of the oldest image that was used to compute the grasp.
Item model¶
The ItemPick and BoxPick components allow to specify a model for the items to be picked. Each item model includes minimum and maximum dimenstions of the expected items.
- The ItemPick component supports specifying the minimum and maximum sizes of unknown flexible and/or deformable items.
- The BoxPick component supports specifying the minimum and maximum length and width of several rectangles.
Interaction with other components¶
Internally, the ItemPick and BoxPick components depend on, and interact with other on-board components as listed below.
Note
All changes and configuration updates to these components will affect the performance of the ItemPick and BoxPick components.
Stereo camera and Stereo matching¶
The ItemPick and BoxPick components make internally use of the following data:
- Rectified images from the Stereo camera component
(
rc_stereocamera); - Disparity, error, and confidence images from the Stereo matching component
(
rc_stereomatching).
Sensor dynamics¶
For each load carrier detection and grasp computation, the components
estimate the gravity vector by subscribing to the IMU data stream from
the Sensor dynamics component
(rc_dynamics).
Note
The gravity vector is estimated from linear acceleration readings from the on-board IMU. For this reason, the ItemPick and BoxPick components require the rc_visard to remain still while the gravity vector is being estimated.
IO and Projector Control¶
In case the rc_visard is used in conjunction with an external random dot projector and
the IO and Projector Control component (rc_iocontrol),
the output mode for the GPIO output in use should be se to ExposureAlternateActive, as
explained in the Description of run-time parameters
of the IO and Projector Control component.
No additional changes are required to use the ItemPick and BoxPick components in combination with a random dot projector.
Hand-eye calibration¶
In case the rc_visard has been calibrated to a robot, two different pose_frame values
can be chosen:
- Camera frame (
camera). All poses provided to and from the component are in the camera frame, and no prior knowledge about the pose of the rc_visard in the environment is required. This means that the configured regions of interest and load carriers move with the camera. It is the user’s responsibility to update the configured poses if the camera frame moves (e.g. with a robot-mounted sensor). - External frame (
external). All poses provided to and from the component are in the external frame, configured by the user during the hand-eye calibration process. The component relies on the on-board Hand-eye calibration component to retrieve the sensor mounting (static or robot mounted) and the hand-eye transformation. If the sensor mounting is static, no further information is needed. If the sensor is robot-mounted, therobot_poseis required to transform poses to and from theexternalframe.
Note
If no hand-eye calibration is available, all pose_frame values should be set to camera.
All pose_frame values that are not camera or external are rejected.
Parameters and Status Values¶
The ItemPick and BoxPick components are called rc_itempick and rc_boxpick
in the REST-API. The user can explore and configure the rc_itempick and rc_boxpick
component’s run-time parameters, e.g. for development and testing, using the rc_visard
Web GUI or
Swagger UI.
This component offers the following run-time parameters.
| Name | Type | Min | Max | Default | Description |
|---|---|---|---|---|---|
max_grasps |
int32 | 1 | 20 | 5 | Maximum number of provided grasps |
| Name | Type | Min | Max | Default | Description |
|---|---|---|---|---|---|
load_carrier_crop_distance |
float64 | 0.0 | 0.02 | 0.005 | Safety margin in meters by which the load carrier inner dimensions are reduced to define the region of interest for grasp computation |
load_carrier_model_tolerance |
float64 | 0.003 | 0.025 | 0.008 | Indicates how much the estimated load carrier dimensions are allowed to differ from the load carrier model dimensions in meters |
| Name | Type | Min | Max | Default | Description |
|---|---|---|---|---|---|
cluster_max_dimension |
float64 | 0.05 | 0.8 | 0.3 | Only for rc_itempick. Diameter of the largest sphere enclosing each cluster in meters. Clusters larger than this value are filtered out before grasp computation. |
cluster_max_curvature |
float64 | 0.005 | 0.5 | 0.11 | Maximum curvature allowed within one cluster. The smaller this value, the more clusters will be split apart. |
clustering_patch_size |
int32 | 3 | 10 | 4 | Only for rc_itempick. Size in pixels of the square patches the depth map is subdivided into during the first clustering step |
clustering_max_surface_rmse |
float64 | 0.0005 | 0.01 | 0.004 | Maximum root-mean-square error (RMSE) in meters of points belonging to a surface |
clustering_discontinuity_factor |
float64 | 0.5 | 5.0 | 1.0 | Factor used to discriminate depth discontinuities within a patch. The smaller this value, the more clusters will be split apart. |
item_model_tolerance |
float64 | 0.0 | 0.05 | 0.0 | Only for rc_itempick. This parameter is deprecated. Indicates how much the estimated item dimensions are allowed to differ from the item model dimensions in meters |
This component reports the following status values.
| Name | Description |
|---|---|
state |
The current state of the rc_itempick and rc_boxpick node |
last_timestamp_processed |
The timestamp of the last processed dataset |
data_acquisition_time |
Time in seconds required by the last active service to acquire images. Standard values are between 0.5 s and 0.6 s with High depth image quality. |
load_carrier_detection_time |
Processing time of the last load carrier detection in seconds |
grasp_computation_time |
Processing time of the last grasp computation in seconds |
The reported state can take one of the following values.
| State name | Description |
|---|---|
| IDLE | The component is idle. |
| RUNNING | The component is running and ready for load carrier detection and grasp computation. |
| FATAL | A fatal error has occurred. |
Services¶
The user can explore and call the rc_itempick and rc_boxpick component’s services,
e.g. for development and testing, using
Swagger UI or
the rc_visard
Web GUI.
Each service component provides a return_code,
which consists of a value plus an optional message.
A successful service returns with a return_code value of 0.
Negative return_code values indicate that the service failed.
Positive return_code values indicate that the service succeeded with additional information.
The smaller value is selected in case a service has multiple return_code values,
but all messages are appended in the return_code message.
The following table contains a list of common codes:
| Code | Description |
|---|---|
| 0 | Success |
| -1 | An invalid argument was provided |
| -4 | Data acquisition took longer than the maximum allowed time of 3.0 seconds |
| -301 | More than one item model of type UNKNOWN provided to the compute_grasps service |
| -302 | More than one load carrier provided to the detect_load_carriers service, but only one is supported |
| 100 | The requested load carriers were not detected in the scene |
| 101 | No valid surfaces or grasps were found in the scene |
| 102 | The detected load carrier is empty |
| 200 | The component is in IDLE state |
| 300 | A valid robot_pose was provided as argument but it is not required |
| 400 | No item_models were provided to the compute_grasps service request |
| 500 | The region of interest visualization images could not be generated during the call to set_region_of_interest |
| 600 | An existent persistent model was overwritten by the call to set_load_carrier or set_region_of_interest |
The ItemPick and BoxPick components offer the following services.
startStarts the component. If the command is accepted, the component moves to state
RUNNING. Thecurrent_statevalue in the service response may differ fromRUNNINGif the state transition is still in process when the service returns.This service requires no arguments.
This service returns the following response:
{ "accepted": "bool", "current_state": "string" }
stopStops the component. If the command is accepted, the component moves to state
IDLE. Thecurrent_statevalue in the service response may differ fromIDLEif the state transition is still in process when the service returns.This service requires no arguments.
This service returns the following response:
{ "accepted": "bool", "current_state": "string" }
set_region_of_interestPersistently stores a region of interest on the rc_visard. All configured regions of interest are persistent over firmware updates and rollbacks.
See Region of Interest the definition of the region of interest type.
This service requires the following arguments:
{ "region_of_interest": { "box": { "x": "float64", "y": "float64", "z": "float64" }, "id": "string", "pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } }, "pose_frame": "string", "sphere": { "radius": "float64" }, "type": "string" }, "robot_pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } } }
This service returns the following response:
{ "return_code": { "message": "string", "value": "int16" } }
get_regions_of_interestReturns the configured regions of interest with the requested
region_of_interest_ids. If noregion_of_interest_idsare provided, all configured regions of interest are returned.This service requires the following arguments:
{ "region_of_interest_ids": [ "string" ] }
This service returns the following response:
{ "regions_of_interest": [ { "box": { "x": "float64", "y": "float64", "z": "float64" }, "id": "string", "pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } }, "pose_frame": "string", "sphere": { "radius": "float64" }, "type": "string" } ], "return_code": { "message": "string", "value": "int16" } }
delete_regions_of_interestDeletes the configured regions of interest with the requested
region_of_interest_ids. All regions of interest to be deleted must be explicitly stated inregion_of_interest_ids.This service requires the following arguments:
{ "region_of_interest_ids": [ "string" ] }
This service returns the following response:
{ "return_code": { "message": "string", "value": "int16" } }
set_load_carrierPersistently stores a load carrier on the rc_visard. All configured load carriers are persistent over firmware updates and rollbacks.
See Load Carrier for the definition of the load carrier type.
This service requires the following arguments:
{ "load_carrier": { "id": "string", "inner_dimensions": { "x": "float64", "y": "float64", "z": "float64" }, "outer_dimensions": { "x": "float64", "y": "float64", "z": "float64" }, "pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } }, "pose_frame": "string", "rim_thickness": { "x": "float64", "y": "float64" } } }
This service returns the following response:
{ "return_code": { "message": "string", "value": "int16" } }
get_load_carriersReturns the configured load carriers with the requested
load_carrier_ids. If noload_carrier_idsare provided, all configured load carriers are returned.This service requires the following arguments:
{ "load_carrier_ids": [ "string" ] }
This service returns the following response:
{ "load_carriers": [ { "id": "string", "inner_dimensions": { "x": "float64", "y": "float64", "z": "float64" }, "outer_dimensions": { "x": "float64", "y": "float64", "z": "float64" }, "pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } }, "pose_frame": "string", "rim_thickness": { "x": "float64", "y": "float64" } } ], "return_code": { "message": "string", "value": "int16" } }
delete_load_carriersDeletes the configured load carriers with the requested
load_carrier_ids. All load carriers to be deleted must be explicitly stated inload_carrier_ids.This service requires the following arguments:
{ "load_carrier_ids": [ "string" ] }
This service returns the following response:
{ "return_code": { "message": "string", "value": "int16" } }
detect_load_carriersTriggers a load carrier detection. All images used by the node are guaranteed to be newer than the service trigger time.
This service requires the following arguments:
{ "load_carrier_ids": [ "string" ], "pose_frame": "string", "region_of_interest_id": "string", "robot_pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } } }
This service returns the following response:
{ "load_carriers": [ { "id": "string", "inner_dimensions": { "x": "float64", "y": "float64", "z": "float64" }, "outer_dimensions": { "x": "float64", "y": "float64", "z": "float64" }, "pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } }, "pose_frame": "string", "rim_thickness": { "x": "float64", "y": "float64" } } ], "return_code": { "message": "string", "value": "int16" }, "timestamp": { "nsec": "int32", "sec": "int32" } }
Required arguments:
pose_frame: defines the output pose frame for the detected load carriers.load_carrier_idsrobot_pose: only if working inpose_frame="external"and the rc_visard is robot-mounted.Optional arguments:
region_of_interest_id: delimits the volume of space where to search for the load carrier. The processing time for load carrier detection increases with the size of the selected region of interest.
detect_items(only available for BoxPick)Triggers the detection of rectangles. Processing includes load carrier detection in the region of interest. The poses are given relative to the centers of the rectangles. The z-axis points towards the camera. Multiple rectangles can be specified with different dimension ranges. All images used by the node are guaranteed to be newer than the service trigger time.
If successful, the service returns a list of rectangles and (optionally) the detected load carriers.
This service requires the following arguments:
{ "item_models": [ { "rectangle": { "max_dimensions": { "x": "float64", "y": "float64" }, "min_dimensions": { "x": "float64", "y": "float64" } }, "type": "string" } ], "load_carrier_compartment": { "box": { "x": "float64", "y": "float64", "z": "float64" }, "pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } } }, "load_carrier_id": "string", "pose_frame": "string", "region_of_interest_id": "string", "robot_pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } } }
This service returns the following response:
{ "items": [ { "pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } }, "pose_frame": "string", "rectangle": { "x": "float64", "y": "float64" }, "timestamp": { "nsec": "int32", "sec": "int32" }, "type": "string", "uuid": "string" } ], "load_carriers": [ { "id": "string", "inner_dimensions": { "x": "float64", "y": "float64", "z": "float64" }, "outer_dimensions": { "x": "float64", "y": "float64", "z": "float64" }, "pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } }, "pose_frame": "string", "rim_thickness": { "x": "float64", "y": "float64" } } ], "return_code": { "message": "string", "value": "int16" }, "timestamp": { "nsec": "int32", "sec": "int32" } }
Required arguments:
pose_frame: defines the output pose frame for the detected rectangles.item_models: defines a list of rectangles with minimum and maximum size, with the minimum dimensions strictly smaller than the maximum dimensions. At least oneitem_modelis always required. The dimensions should be given as precise as possible to avoid misdetections.robot_pose: only if working inpose_frame="external"and the rc_visard is robot-mounted.Optional arguments:
region_of_interest_id: delimits the volume of space where to search for the load carrier or selects a volume which contains items to be grasped if noload_carrier_idis set. The processing time for load carrier detection and grasp computation increases with the size of the selected region of interest.load_carrier_id: limits grasp computation to the content of the detected load carrier.load_carrier_compartment: selects a compartment within the detected load carrier.
compute_grasps(for ItemPick)Triggers the computation of grasping poses for a suction device. All images used by the node are guaranteed to be newer than the service trigger time.
If successful, the service returns a sorted list of grasps and (optionally) the detected load carriers.
This service requires the following arguments:
{ "item_models": [ { "type": "string", "unknown": { "max_dimensions": { "x": "float64", "y": "float64", "z": "float64" }, "min_dimensions": { "x": "float64", "y": "float64", "z": "float64" } } } ], "load_carrier_compartment": { "box": { "x": "float64", "y": "float64", "z": "float64" }, "pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } } }, "load_carrier_id": "string", "pose_frame": "string", "region_of_interest_id": "string", "robot_pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } }, "suction_surface_length": "float64", "suction_surface_width": "float64" }
This service returns the following response:
{ "grasps": [ { "item_uuid": "string", "max_suction_surface_length": "float64", "max_suction_surface_width": "float64", "pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } }, "pose_frame": "string", "quality": "float64", "timestamp": { "nsec": "int32", "sec": "int32" }, "type": "string", "uuid": "string" } ], "load_carriers": [ { "id": "string", "inner_dimensions": { "x": "float64", "y": "float64", "z": "float64" }, "outer_dimensions": { "x": "float64", "y": "float64", "z": "float64" }, "pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } }, "pose_frame": "string", "rim_thickness": { "x": "float64", "y": "float64" } } ], "return_code": { "message": "string", "value": "int16" }, "timestamp": { "nsec": "int32", "sec": "int32" } }
Required arguments:
pose_frame: defines the output pose frame for the computed grasps.suction_surface_length: length of the suction device grasping surface.suction_surface_width: width of the suction device grasping surface.robot_pose: only if working inpose_frame="external"and the rc_visard is robot-mounted.Optional arguments:
region_of_interest_id: delimits the volume of space where to search for the load carrier or selects a volume which contains items to be grasped if noload_carrier_idis set. The processing time for load carrier detection and grasp computation increases with the size of the selected region of interest.load_carrier_id: limits grasp computation to the content of the detected load carrier.load_carrier_compartment: selects a compartment within the detected load carrier.item_models: defines a list of unknown items with minimum and maximum dimensions, with the minimum dimensions strictly smaller than the maximum dimensions. Only oneitem_modelof typeUNKNOWNis currently supported.
compute_grasps(for BoxPick)Triggers the detection of rectangles and computation of a grasp pose for the detected rectangles. The poses are given relative to the centers of the rectangles. Multiple rectangles can be specified with different dimension ranges. All images used by the node are guaranteed to be newer than the service trigger time.
If successful, the service returns a list of rectangles, a list of computed grasps and (optionally) the detected load carriers. Each grasp includes the
uuidof the corresponding rectangle and vice versa.This service requires the following arguments:
{ "item_models": [ { "rectangle": { "max_dimensions": { "x": "float64", "y": "float64" }, "min_dimensions": { "x": "float64", "y": "float64" } }, "type": "string" } ], "load_carrier_compartment": { "box": { "x": "float64", "y": "float64", "z": "float64" }, "pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } } }, "load_carrier_id": "string", "pose_frame": "string", "region_of_interest_id": "string", "robot_pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } }, "suction_surface_length": "float64", "suction_surface_width": "float64" }
This service returns the following response:
{ "grasps": [ { "item_uuid": "string", "max_suction_surface_length": "float64", "max_suction_surface_width": "float64", "pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } }, "pose_frame": "string", "quality": "float64", "timestamp": { "nsec": "int32", "sec": "int32" }, "type": "string", "uuid": "string" } ], "items": [ { "grasp_uuids": [ "string" ], "pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } }, "pose_frame": "string", "rectangle": { "x": "float64", "y": "float64" }, "timestamp": { "nsec": "int32", "sec": "int32" }, "type": "string", "uuid": "string" } ], "load_carriers": [ { "id": "string", "inner_dimensions": { "x": "float64", "y": "float64", "z": "float64" }, "outer_dimensions": { "x": "float64", "y": "float64", "z": "float64" }, "pose": { "orientation": { "w": "float64", "x": "float64", "y": "float64", "z": "float64" }, "position": { "x": "float64", "y": "float64", "z": "float64" } }, "pose_frame": "string", "rim_thickness": { "x": "float64", "y": "float64" } } ], "return_code": { "message": "string", "value": "int16" }, "timestamp": { "nsec": "int32", "sec": "int32" } }
Required arguments:
pose_frame: defines the output pose frame for the computed grasps and detected rectangles.item_models: defines a list of rectangles with minimum and maximum size, with the minimum dimensions strictly smaller than the maximum dimensions. At least oneitem_modelis always required. The dimensions should be given as precise as possible to avoid misdetections.suction_surface_length: length of the suction device grasping surface.suction_surface_width: width of the suction device grasping surface.robot_pose: only if working inpose_frame="external"and the rc_visard is robot-mounted.Optional arguments:
region_of_interest_id: delimits the volume of space where to search for the load carrier or selects a volume which contains items to be grasped if noload_carrier_idis set. The processing time for load carrier detection and grasp computation increases with the size of the selected region of interest.load_carrier_id: limits grasp computation to the content of the detected load carrier.load_carrier_compartment: selects a compartment within the detected load carrier.
save_parameters- This service saves the currently set parameters persistently. Thereby, the same parameters will still apply after a reboot of the sensor. The node parameters are not persistent over firmware updates and rollbacks.
reset_to_defaults- This service resets all parameters of the component to its default values, as listed in above table. The reset does not apply to regions of interest and load carriers.