ompl::geometric::EST Class Reference

Expansive Space Trees. More...

#include <EST.h>

Inheritance diagram for ompl::geometric::EST:
Inheritance graph
[legend]

List of all members.

Classes

class  Motion
 The definition of a motion. More...
struct  TreeData
 The data contained by a tree of exploration. More...

Public Member Functions

virtual void clear (void)
 Clear all internal datastructures. Planner settings are not affected. Subsequent calls to solve() will ignore all previous work.
 EST (const base::SpaceInformationPtr &si)
 Constructor.
double getGoalBias (void) const
 Get the goal bias the planner is using.
virtual void getPlannerData (base::PlannerData &data) const
 Get information about the current run of the motion planner. Repeated calls to this function will update data (only additions are made). This is useful to see what changed in the exploration datastructure, between calls to solve(), for example (without calling clear() in between).
const
base::ProjectionEvaluatorPtr
getProjectionEvaluator (void) const
 Get the projection evaluator.
double getRange (void) const
 Get the range the planner is using.
void setGoalBias (double goalBias)
 In the process of randomly selecting states in the state space to attempt to go towards, the algorithm may in fact choose the actual goal state, if it knows it, with some probability. This probability is a real number between 0.0 and 1.0; its value should usually be around 0.05 and should not be too large. It is probably a good idea to use the default value.
void setProjectionEvaluator (const std::string &name)
 Set the projection evaluator (select one from the ones registered with the state space).
void setProjectionEvaluator (const base::ProjectionEvaluatorPtr &projectionEvaluator)
 Set the projection evaluator. This class is able to compute the projection of a given state.
void setRange (double distance)
 Set the range the planner is supposed to use.
virtual void setup (void)
 Perform extra configuration steps, if needed. This call will also issue a call to ompl::base::SpaceInformation::setup() if needed. This must be called before solving.
virtual bool solve (const base::PlannerTerminationCondition &ptc)
 Function that can solve the motion planning problem. This function can be called multiple times on the same problem, without calling clear() in between. This allows the planner to continue work more time on an unsolved problem, for example. If this option is used, it is assumed the problem definition is not changed (unpredictable results otherwise). The only change in the problem definition that is accounted for is the addition of starting or goal states (but not changing previously added start/goal states). The function terminates if the call to ptc returns true.
virtual ~EST (void)

Protected Types

typedef std::vector< Motion * > MotionSet
 An array of motions.

Protected Member Functions

void addMotion (Motion *motion)
 Add a motion to the exploration tree.
void freeMemory (void)
 Free the memory allocated by this planner.
MotionselectMotion (void)
 Select a motion to continue the expansion of the tree from.

Protected Attributes

double goalBias_
 The fraction of time the goal is picked as the state to expand towards (if such a state is available).
double maxDistance_
 The maximum length of a motion to be added to a tree.
base::ProjectionEvaluatorPtr projectionEvaluator_
 This algorithm uses a discretization (a grid) to guide the exploration. The exploration is imposed on a projection of the state space.
RNG rng_
 The random number generator.
base::ValidStateSamplerPtr sampler_
 Valid state sampler.
TreeData tree_
 The exploration tree constructed by this algorithm.

Detailed Description

Expansive Space Trees.

Short description
EST is a tree-based motion planner that attempts to detect the less explored area of the space through the use of a grid imposed on a projection of the state space. Using this information, EST continues tree expansion primarily from less explored areas. It is important to set the projection the algorithm uses (setProjectionEvaluator() function). If no projection is set, the planner will attempt to use the default projection associated to the state space. An exception is thrown if no default projection is available either.
External documentation
D. Hsu, J.-C. Latombe, and R. Motwani, Path planning in expansive configuration spaces, Intl. J. Computational Geometry and Applications, vol. 9, no. 4-5, pp. 495–512, 1999. DOI: 10.1142/S0218195999000285
[PDF]

Definition at line 68 of file EST.h.


Member Typedef Documentation

typedef std::vector<Motion*> ompl::geometric::EST::MotionSet [protected]

An array of motions.

Definition at line 149 of file EST.h.


Constructor & Destructor Documentation

ompl::geometric::EST::EST ( const base::SpaceInformationPtr si  )  [inline]

Constructor.

Definition at line 46 of file EST.h.

virtual ompl::geometric::EST::~EST ( void   )  [inline, virtual]

Definition at line 54 of file EST.h.


Member Function Documentation

void ompl::geometric::EST::addMotion ( Motion motion  )  [protected]

Add a motion to the exploration tree.

virtual void ompl::geometric::EST::clear ( void   )  [virtual]

Clear all internal datastructures. Planner settings are not affected. Subsequent calls to solve() will ignore all previous work.

Reimplemented from ompl::base::Planner.

void ompl::geometric::EST::freeMemory ( void   )  [protected]

Free the memory allocated by this planner.

double ompl::geometric::EST::getGoalBias ( void   )  const [inline]

Get the goal bias the planner is using.

Definition at line 76 of file EST.h.

virtual void ompl::geometric::EST::getPlannerData ( base::PlannerData data  )  const [virtual]

Get information about the current run of the motion planner. Repeated calls to this function will update data (only additions are made). This is useful to see what changed in the exploration datastructure, between calls to solve(), for example (without calling clear() in between).

Reimplemented from ompl::base::Planner.

const base::ProjectionEvaluatorPtr& ompl::geometric::EST::getProjectionEvaluator ( void   )  const [inline]

Get the projection evaluator.

Definition at line 112 of file EST.h.

double ompl::geometric::EST::getRange ( void   )  const [inline]

Get the range the planner is using.

Definition at line 92 of file EST.h.

Motion* ompl::geometric::EST::selectMotion ( void   )  [protected]

Select a motion to continue the expansion of the tree from.

void ompl::geometric::EST::setGoalBias ( double  goalBias  )  [inline]

In the process of randomly selecting states in the state space to attempt to go towards, the algorithm may in fact choose the actual goal state, if it knows it, with some probability. This probability is a real number between 0.0 and 1.0; its value should usually be around 0.05 and should not be too large. It is probably a good idea to use the default value.

Definition at line 70 of file EST.h.

void ompl::geometric::EST::setProjectionEvaluator ( const std::string &  name  )  [inline]

Set the projection evaluator (select one from the ones registered with the state space).

Definition at line 106 of file EST.h.

void ompl::geometric::EST::setProjectionEvaluator ( const base::ProjectionEvaluatorPtr projectionEvaluator  )  [inline]

Set the projection evaluator. This class is able to compute the projection of a given state.

Definition at line 99 of file EST.h.

void ompl::geometric::EST::setRange ( double  distance  )  [inline]

Set the range the planner is supposed to use.

This parameter greatly influences the runtime of the algorithm. It represents the maximum length of a motion to be added in the tree of motions.

Definition at line 86 of file EST.h.

virtual void ompl::geometric::EST::setup ( void   )  [virtual]

Perform extra configuration steps, if needed. This call will also issue a call to ompl::base::SpaceInformation::setup() if needed. This must be called before solving.

Reimplemented from ompl::base::Planner.

virtual bool ompl::geometric::EST::solve ( const base::PlannerTerminationCondition ptc  )  [virtual]

Function that can solve the motion planning problem. This function can be called multiple times on the same problem, without calling clear() in between. This allows the planner to continue work more time on an unsolved problem, for example. If this option is used, it is assumed the problem definition is not changed (unpredictable results otherwise). The only change in the problem definition that is accounted for is the addition of starting or goal states (but not changing previously added start/goal states). The function terminates if the call to ptc returns true.

Implements ompl::base::Planner.


Member Data Documentation

double ompl::geometric::EST::goalBias_ [protected]

The fraction of time the goal is picked as the state to expand towards (if such a state is available).

Definition at line 184 of file EST.h.

The maximum length of a motion to be added to a tree.

Definition at line 187 of file EST.h.

This algorithm uses a discretization (a grid) to guide the exploration. The exploration is imposed on a projection of the state space.

Definition at line 181 of file EST.h.

The random number generator.

Definition at line 190 of file EST.h.

Valid state sampler.

Definition at line 175 of file EST.h.

The exploration tree constructed by this algorithm.

Definition at line 178 of file EST.h.


The documentation for this class was generated from the following file:
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ompl
Author(s): Ioan Sucan/isucan@rice.edu, Mark Moll/mmoll@rice.edu, Lydia Kavraki/kavraki@rice.edu
autogenerated on Fri Jan 11 09:34:03 2013