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RRTExtExt Class Reference

Balance between growing trees toward each other and exploring. More...

#include <rrt.h>

Inheritance diagram for RRTExtExt::

RRTDual RRT IncrementalPlanner Planner Solver List of all members.

Public Methods

 RRTExtExt (Problem *p)
virtual ~RRTExtExt ()
virtual bool Plan ()
 The dual-tree planner used in LaValle, Kuffner, ICRA 1999. Each tree is extended toward a randomly-sampled point. RRTExtExt is generally better.


Detailed Description

Balance between growing trees toward each other and exploring.

This planner balances the computation between growing the trees toward random samples and toward each other. G is the tree from the initial state, and G2 is the tree from the goal state. In each iteration, there are four steps:

  1. Use Extend to grow G toward a random sample
  2. Use Extend to grow G2 toward the new node in G
  3. Use Extend to grow G2 toward a random sample
  4. Use Extend to grow G toward the new node in G2
In each step, node selection is based on the nearest neighbor.


Constructor & Destructor Documentation

RRTExtExt::RRTExtExt ( Problem * p )
 

RRTExtExt::~RRTExtExt ( ) [inline, virtual]
 


Member Function Documentation

virtual bool RRTExtExt::Plan ( ) [virtual]
 

The dual-tree planner used in LaValle, Kuffner, ICRA 1999. Each tree is extended toward a randomly-sampled point. RRTExtExt is generally better.

Reimplemented from RRTDual.


The documentation for this class was generated from the following file: Motion Strategy Library


Web page maintained by Steve LaValle
Partial support provided by NSF CAREER Award IRI-970228 (LaValle), Honda Research.
Contributors: Anna Atramentov, Peng Cheng, James Kuffner, Steve LaValle, and Libo Yang.