probabilistic_grasp_planner::GaussianCPD Class Reference

Approximates both success and failure distributions as simple Gaussians with means and stds. More...

#include <conditional_probability_distributions.h>

Inheritance diagram for probabilistic_grasp_planner::GaussianCPD:
Inheritance graph
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List of all members.

Public Member Functions

virtual void evaluateConditionalProbs (double quality, double &success_cond_prob, double &failure_cond_prob)=0
 GaussianCPD (double success_mean, double success_std, double failure_mean, double failure_std)

Protected Attributes

double failure_mean_
double failure_std_
double success_mean_
double success_std_

Detailed Description

Approximates both success and failure distributions as simple Gaussians with means and stds.

Definition at line 55 of file conditional_probability_distributions.h.


Constructor & Destructor Documentation

probabilistic_grasp_planner::GaussianCPD::GaussianCPD ( double  success_mean,
double  success_std,
double  failure_mean,
double  failure_std 
) [inline]

Definition at line 63 of file conditional_probability_distributions.h.


Member Function Documentation

virtual void probabilistic_grasp_planner::GaussianCPD::evaluateConditionalProbs ( double  quality,
double &  success_cond_prob,
double &  failure_cond_prob 
) [pure virtual]

Member Data Documentation

Definition at line 60 of file conditional_probability_distributions.h.

Definition at line 61 of file conditional_probability_distributions.h.

Definition at line 58 of file conditional_probability_distributions.h.

Definition at line 59 of file conditional_probability_distributions.h.


The documentation for this class was generated from the following file:
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probabilistic_grasp_planner
Author(s): Peter Brook
autogenerated on Fri Jan 11 09:52:09 2013