JointConstraintSampler is a class that allows the sampling of joints in a particular group of the robot, subject to a set of individual joint constraints. More...

#include <default_constraint_samplers.h>

Inheritance diagram for constraint_samplers::JointConstraintSampler:

[legend]

List of all members.

Classes
struct	JointInfo
	An internal structure used for maintaining constraints on a particular joint. More...
Public Member Functions
virtual bool	configure (const moveit_msgs::Constraints &constr)
	Configures a joint constraint given a Constraints message.
bool	configure (const std::vector< kinematic_constraints::JointConstraint > &jc)
	Configures a joint constraint given a vector of constraints.
std::size_t	getConstrainedJointCount () const
	Gets the number of constrained joints - joints that have an additional bound beyond the joint limits.
virtual const std::string &	getName () const
	Get the name of the constraint sampler, for debugging purposes should be in CamelCase format.
std::size_t	getUnconstrainedJointCount () const
	Gets the number of unconstrained joints - joint that have no additional bound beyond the joint limits.
	JointConstraintSampler (const planning_scene::PlanningSceneConstPtr &scene, const std::string &group_name)
virtual bool	project (robot_state::RobotState &state, unsigned int max_attempts)
	Project a sample given the constraints, updating the joint state group. This function allows the parameter max_attempts to be set.
virtual bool	sample (robot_state::RobotState &state, const robot_state::RobotState &ks, unsigned int max_attempts)
	Samples given the constraints, populating state. This function allows the parameter max_attempts to be set.
Protected Member Functions
virtual void	clear ()
	Clears all data from the constraint.
Protected Attributes
std::vector< JointInfo >	bounds_
	The bounds for any joint with bounds that are more restrictive than the joint limits.
random_numbers::RandomNumberGenerator	random_number_generator_
	Random number generator used to sample.
std::vector< unsigned int >	uindex_
	The index of the unbounded joints in the joint state vector.
std::vector< const robot_model::JointModel * >	unbounded_
	The joints that are not bounded except by joint limits.
std::vector< double >	values_
	Values associated with this group to avoid continuously reallocating.

Detailed Description

JointConstraintSampler is a class that allows the sampling of joints in a particular group of the robot, subject to a set of individual joint constraints.

The set of individual joint constraint reduce the allowable bounds used in the sampling. Unconstrained values will be sampled within their limits.

Definition at line 55 of file default_constraint_samplers.h.

Constructor & Destructor Documentation

constraint_samplers::JointConstraintSampler::JointConstraintSampler	(	const planning_scene::PlanningSceneConstPtr &	scene,
		const std::string &	group_name
	)		`[inline]`

Constructor

Parameters:

[in]	scene	The planning scene used to check the constraint
[in]	group_name	The group name associated with the constraint. Will be invalid if no group name is passed in or the joint model group cannot be found in the kinematic model

Definition at line 69 of file default_constraint_samplers.h.

Member Function Documentation

void constraint_samplers::JointConstraintSampler::clear ( ) [protected, virtual]

Clears all data from the constraint.

Reimplemented from constraint_samplers::ConstraintSampler.

Definition at line 179 of file default_constraint_samplers.cpp.

bool constraint_samplers::JointConstraintSampler::configure ( const moveit_msgs::Constraints & constr ) [virtual]

Configures a joint constraint given a Constraints message.

If more than one constraint for a particular joint is specified, the most restrictive set of bounds will be used (highest minimum value, lowest maximum value). For the configuration to be successful, the following condition must be met, in addition to the conditions specified in configure(const std::vector<kinematic_constraints::JointConstraint> &jc) :

The Constraints message must contain one or more valid joint constraints (where validity is judged by the ability to configure a JointConstraint)

Parameters:

[in] constr The message containing the constraints

Returns:: True if the conditions are met, otherwise false

Implements constraint_samplers::ConstraintSampler.

Definition at line 43 of file default_constraint_samplers.cpp.

bool constraint_samplers::JointConstraintSampler::configure ( const std::vector< kinematic_constraints::JointConstraint > & jc )

Configures a joint constraint given a vector of constraints.

If more than one constraint for a particular joint is specified, the most restrictive set of bounds will be used (highest minimum value, lowest_maximum value. For the configuration to be successful, the following conditions must be met:

The vector must contain one or more valid, enabled joint constraints

At least one constraint must reference a joint in the indicated group. If no additional bounds exist for this group, then RobotState::setToRandomPositions() can be used to generate a sample independently from the constraint_samplers infrastructure.

The constraints must allow a sampleable region for all joints, where the most restrictive minimum bound is less than the most restrictive maximum bound

Parameters:

[in] jc The vector of joint constraints

Returns:: True if the conditions are met, otherwise false

Definition at line 57 of file default_constraint_samplers.cpp.

std::size_t constraint_samplers::JointConstraintSampler::getConstrainedJointCount ( ) const [inline]

Gets the number of constrained joints - joints that have an additional bound beyond the joint limits.

Returns:: The number of constrained joints.

Definition at line 134 of file default_constraint_samplers.h.

virtual const std::string& constraint_samplers::JointConstraintSampler::getName ( ) const [inline, virtual]

Get the name of the constraint sampler, for debugging purposes should be in CamelCase format.

Returns:: string of name

Implements constraint_samplers::ConstraintSampler.

Definition at line 155 of file default_constraint_samplers.h.

std::size_t constraint_samplers::JointConstraintSampler::getUnconstrainedJointCount ( ) const [inline]

Gets the number of unconstrained joints - joint that have no additional bound beyond the joint limits.

Returns:: The number of unconstrained joints.

Definition at line 145 of file default_constraint_samplers.h.

bool constraint_samplers::JointConstraintSampler::project	(	robot_state::RobotState &	state,
		unsigned int	max_attempts
	)		`[virtual]`

Project a sample given the constraints, updating the joint state group. This function allows the parameter max_attempts to be set.

Parameters:

[out]	state	The state into which the values will be placed. Only values for the group are written.
[in]	max_attempts	The maximum number of times to attempt to draw a sample. If no sample has been drawn in this number of attempts, false will be returned.

Returns:: True if a sample was successfully projected, false otherwise

Implements constraint_samplers::ConstraintSampler.

Definition at line 173 of file default_constraint_samplers.cpp.

bool constraint_samplers::JointConstraintSampler::sample	(	robot_state::RobotState &	state,
		const robot_state::RobotState &	reference_state,
		unsigned int	max_attempts
	)		`[virtual]`

Samples given the constraints, populating state. This function allows the parameter max_attempts to be set.

Parameters:

[out]	state	The state into which the values will be placed. Only values for the group are written.
[in]	reference_state	Reference state that will be used to do transforms or perform other actions
[in]	max_attempts	The maximum number of times to attempt to draw a sample. If no sample has been drawn in this number of attempts, false will be returned.