constrained_sampler.cpp
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34 
35 /* Author: Ioan Sucan */
36 
40 
41 #include <utility>
42 
44  constraint_samplers::ConstraintSamplerPtr cs)
45  : ob::StateSampler(pc->getOMPLStateSpace().get())
46  , planning_context_(pc)
47  , default_(space_->allocDefaultStateSampler())
48  , constraint_sampler_(std::move(cs))
49  , work_state_(pc->getCompleteInitialRobotState())
50  , constrained_success_(0)
51  , constrained_failure_(0)
52 {
53  inv_dim_ = space_->getDimension() > 0 ? 1.0 / (double)space_->getDimension() : 1.0;
54 }
55 
57 {
58  if (constrained_success_ == 0)
59  return 0.0;
60  else
61  return (double)constrained_success_ / (double)(constrained_success_ + constrained_failure_);
62 }
63 
65 {
66  // moveit::Profiler::ScopedBlock sblock("sampleWithConstraints");
67 
68  if (constraint_sampler_->sample(work_state_, planning_context_->getCompleteInitialRobotState(),
69  planning_context_->getMaximumStateSamplingAttempts()))
70  {
71  planning_context_->getOMPLStateSpace()->copyToOMPLState(state, work_state_);
72  if (space_->satisfiesBounds(state))
73  {
74  ++constrained_success_;
75  return true;
76  }
77  }
78  ++constrained_failure_;
79  return false;
80 }
81 
83 {
84  if (!sampleC(state) && !sampleC(state) && !sampleC(state))
85  default_->sampleUniform(state);
86 }
87 
88 void ompl_interface::ConstrainedSampler::sampleUniformNear(ob::State* state, const ob::State* near,
89  const double distance)
90 {
91  if (sampleC(state) || sampleC(state) || sampleC(state))
92  {
93  double total_d = space_->distance(state, near);
94  if (total_d > distance)
95  {
96  double dist = pow(rng_.uniform01(), inv_dim_) * distance;
97  space_->interpolate(near, state, dist / total_d, state);
98  }
99  }
100  else
101  default_->sampleUniformNear(state, near, distance);
102 }
103 
104 void ompl_interface::ConstrainedSampler::sampleGaussian(ob::State* state, const ob::State* mean, const double stdDev)
105 {
106  if (sampleC(state) || sampleC(state) || sampleC(state))
107  {
108  double total_d = space_->distance(state, mean);
109  double distance = rng_.gaussian(0.0, stdDev);
110  if (total_d > distance)
111  {
112  double dist = pow(rng_.uniform01(), inv_dim_) * distance;
113  space_->interpolate(mean, state, dist / total_d, state);
114  }
115  }
116  else
117  default_->sampleGaussian(state, mean, stdDev);
118 }
model_based_planning_context.h
ompl_interface::ModelBasedPlanningContext
Definition: model_based_planning_context.h:105
ompl_interface::ConstrainedSampler::ConstrainedSampler
ConstrainedSampler(const ModelBasedPlanningContext *pc, constraint_samplers::ConstraintSamplerPtr cs)
Default constructor.
Definition: constrained_sampler.cpp:43
ompl_interface::ConstrainedSampler::sampleGaussian
void sampleGaussian(ompl::base::State *state, const ompl::base::State *mean, const double stdDev) override
Sample a state using the specified Gaussian.
Definition: constrained_sampler.cpp:104
get
def get(url)
ompl_interface::ConstrainedSampler::sampleC
bool sampleC(ompl::base::State *state)
Definition: constrained_sampler.cpp:64
ompl_interface::ConstrainedSampler::sampleUniform
void sampleUniform(ompl::base::State *state) override
Sample a state (uniformly)
Definition: constrained_sampler.cpp:82
ompl_interface::ConstrainedSampler::inv_dim_
double inv_dim_
Definition: constrained_sampler.h:108
constrained_sampler.h
distance
template void distance(DistanceTraversalNodeBase< double > *node, BVHFrontList *front_list, int qsize)
std
ompl_interface::ConstrainedSampler::sampleUniformNear
void sampleUniformNear(ompl::base::State *state, const ompl::base::State *near, const double distance) override
Sample a state (uniformly) within a certain distance of another state.
Definition: constrained_sampler.cpp:88
profiler.h
ompl_interface::ConstrainedSampler::getConstrainedSamplingRate
double getConstrainedSamplingRate() const
Definition: constrained_sampler.cpp:56


ompl
Author(s): Ioan Sucan
autogenerated on Fri May 3 2024 02:29:39