protected override PathPlanningResult RunAbstract(Manipulator manipulator, Vector3 goal, InverseKinematicsSolver solver, CancellationToken cancellationToken)
{
if (manipulator.DistanceTo(goal) < _threshold)
{
// the goal is already reached
return new PathPlanningResult
{
Iterations = 0,
Path = null
}
}
;
// create new tree
Tree = new Tree(new Tree.Node(null, manipulator.GripperPos, manipulator.q), _maxIterations + 1);
// define local attractors as the goal attractor and copies of static attractors
var attractors = new List <Attractor>()
{
new Attractor(goal)
};
attractors.AddRange(_attractors);
// recalculate attractors' weights
Attractor.RecalculateWeights(attractors, manipulator, _threshold);
// sort attractors
attractors = attractors.OrderBy(a => a.Weight).ToList();
// create necessary locals
Attractor attractorFirst = attractors.First();
Attractor attractorLast = attractors.Last(); // TODO: last attractor has too big radius (~5 units for 0.04 step); fix!
float mu = attractorFirst.Weight;
float sigma = (attractorLast.Weight - attractorFirst.Weight) / 2.0f;
List <float> weights = new List <float>();
Iterations = 0;
while (Iterations < _maxIterations)
{
cancellationToken.ThrowIfCancellationRequested();
Iterations++;
// trim tree
if (_enableTrimming && Iterations % _trimPeriod == 0)
{
Tree.Trim(manipulator, solver);
}
// generate normally distributed weight
float num = RandomThreadStatic.NextGaussian(mu, sigma);
weights.Add(num);
// get the index of the most relevant attractor
int index = attractors.IndexOfNearest(num, a => a.Weight);
// get point of the obtained attractor
Vector3 sample = attractors[index].Center;
// find the closest node to that attractor
Tree.Node nodeClosest = Tree.Closest(sample);
// get new tree node point
Vector3 point = nodeClosest.Point + Vector3.Normalize(sample - nodeClosest.Point) * _step;
if (!(_collisionCheck && ObstacleHandler.ContainmentTest(point, out _)))
{
// solve inverse kinematics for the new node
manipulator.q = nodeClosest.q;
var ikRes = solver.Execute(manipulator, point);
if (ikRes.Converged && !(_collisionCheck && manipulator.CollisionTest().Contains(true))) // TODO: is convergence check really needed?
{
manipulator.q = ikRes.Configuration;
// add node to the tree
Tree.Node node = new Tree.Node(nodeClosest, manipulator.GripperPos, manipulator.q);
Tree.AddNode(node);
// check exit condition
if (point.DistanceTo(attractors[index].Center) < attractors[index].Radius)
{
if (index == 0)
{
// stop in case the main attractor has been hit
continue;//break;
}
else
{
// remove attractor if it has been hit
attractors.RemoveAt(index);
}
}
}
}
}
// retrieve resultant path along with respective configurations
return(new PathPlanningResult
{
Iterations = Iterations,
Path = Tree.GetPath(manipulator, Tree.Closest(goal)) // TODO: refactor! tree should be written to temp variable in path planner, not permanent in manipulator
});
}
}
protected override PathPlanningResult RunAbstract(Manipulator manipulator, Vector3 goal, InverseKinematicsSolver solver, CancellationToken cancellationToken)
{
if (manipulator.DistanceTo(goal) < _threshold)
{
// the goal is already reached
return new PathPlanningResult
{
Iterations = 0,
Path = null
}
}
;
// create new tree
Tree = new Tree(new Tree.Node(null, manipulator.GripperPos, manipulator.q), _maxIterations + 1);
Iterations = 0;
while (Iterations < _maxIterations)
{
cancellationToken.ThrowIfCancellationRequested();
Iterations++;
// trim tree
if (_enableTrimming && Iterations % _trimPeriod == 0)
{
Tree.Trim(manipulator, solver);
}
// get sample point
Vector3 sample;
if (Iterations % _goalBiasPeriod == 0)
{
// use goal bias
sample = goal;
}
else
{
// generate sample
sample = RandomThreadStatic.NextPointSphere(manipulator.WorkspaceRadius) + manipulator.Base;
}
// find the closest node to the generated sample point
Tree.Node nodeClosest = Tree.Closest(sample);
// get new tree node point
Vector3 point = nodeClosest.Point + Vector3.Normalize(sample - nodeClosest.Point) * _step;
if (!(_collisionCheck && ObstacleHandler.ContainmentTest(point, out _)))
{
// solve inverse kinematics for the new node to obtain the agent configuration
manipulator.q = nodeClosest.q;
var ikRes = solver.Execute(manipulator, point);
if (ikRes.Converged && !(_collisionCheck && manipulator.CollisionTest().Contains(true)))
{
manipulator.q = ikRes.Configuration;
// add new node to the tree
Tree.Node node = new Tree.Node(nodeClosest, manipulator.GripperPos, manipulator.q);
Tree.AddNode(node);
// check exit condition
if (manipulator.DistanceTo(goal) < _threshold)
{
break;
}
}
}
}
// retrieve resultant path along with respective configurations
return(new PathPlanningResult
{
Iterations = Iterations,
Path = Tree.GetPath(manipulator, Tree.Closest(goal)) // TODO: refactor! tree should be written to temp variable in path planner, not permanent in manipulator
});
}
