ConstrainedPlanningCommon.py

#!/usr/bin/env python
 
 
 
# Author: Mark Moll
 
from __future__ import print_function
try:
    from ompl import util as ou
    from ompl import base as ob
    from ompl import geometric as og
    from ompl import tools as ot
except ImportError:
    # if the ompl module is not in the PYTHONPATH assume it is installed in a
    # subdirectory of the parent directory called "py-bindings."
    from os.path import abspath, dirname, join
    import sys
    sys.path.insert(
        0, join(dirname(dirname(dirname(abspath(__file__)))), 'py-bindings'))
    from ompl import util as ou
    from ompl import base as ob
    from ompl import geometric as og
    from ompl import tools as ot
import datetime
 
 
def addSpaceOption(parser):
    parser.add_argument("-s", "--space", default="PJ",
                        choices=["PJ", "AT", "TB"],
                        help="""Choose which constraint handling methodology to use. One of:
        PJ - Projection (Default)
        AT - Atlas
        TB - Tangent Bundle.""")
 
 
def addPlannerOption(parser):
    parser.add_argument("-p", "--planner", default="RRT",
                        help="Comma-separated list of which motion planner to use (multiple if "
                        "benchmarking, one if planning).\n Choose from, e.g.:\n"
                        "RRT (Default), RRTConnect, RRTstar, "
                        "EST, BiEST, ProjEST, "
                        "BITstar, "
                        "PRM, SPARS, "
                        "KPIECE1, BKPIECE1.")
 
 
def addConstrainedOptions(parser):
    group = parser.add_argument_group("Constrained planning options")
    group.add_argument("-d", "--delta", type=float, default=ob.CONSTRAINED_STATE_SPACE_DELTA,
                       help="Step-size for discrete geodesic on manifold.")
    group.add_argument("--lambda", type=float, dest="lambda_", metavar="LAMBDA",
                       default=ob.CONSTRAINED_STATE_SPACE_LAMBDA,
                       help="Maximum `wandering` allowed during atlas traversal. Must be greater "
                       "than 1.")
    group.add_argument("--tolerance", type=float, default=ob.CONSTRAINT_PROJECTION_TOLERANCE,
                       help="Constraint satisfaction tolerance.")
    group.add_argument("--time", type=float, default=5.,
                       help="Planning time allowed.")
    group.add_argument("--tries", type=int, default=ob.CONSTRAINT_PROJECTION_MAX_ITERATIONS,
                       help="Maximum number sample tries per sample.")
    group.add_argument("-r", "--range", type=float, default=0.,
                       help="Planner `range` value for planners that support this parameter. "
                       "Automatically determined otherwise (when 0).")
 
def list2vec(l):
    ret = ou.vectorDouble()
    for e in l:
        ret.append(e)
    return ret
 
def clearSpaceAndPlanner(planner):
    planner.getSpaceInformation().getStateSpace().clear()
    planner.clear()
 
 
def addAtlasOptions(parser):
    group = parser.add_argument_group("Atlas options")
    group.add_argument("--epsilon", type=float, default=ob.ATLAS_STATE_SPACE_EPSILON,
                       help="Maximum distance from an atlas chart to the manifold. Must be "
                       "positive.")
    group.add_argument("--rho", type=float, default=ob.CONSTRAINED_STATE_SPACE_DELTA *
                       ob.ATLAS_STATE_SPACE_RHO_MULTIPLIER,
                       help="Maximum radius for an atlas chart. Must be positive.")
    group.add_argument("--exploration", type=float, default=ob.ATLAS_STATE_SPACE_EXPLORATION,
                       help="Value in [0, 1] which tunes balance of refinement and exploration in "
                       "atlas sampling.")
    group.add_argument("--alpha", type=float, default=ob.ATLAS_STATE_SPACE_ALPHA,
                       help="Maximum angle between an atlas chart and the manifold. Must be in "
                       "[0, PI/2].")
    group.add_argument("--bias", action="store_true",
                       help="Sets whether the atlas should use frontier-biased chart sampling "
                       "rather than uniform.")
    group.add_argument("--no-separate", action="store_true",
                       help="Sets that the atlas should not compute chart separating halfspaces.")
    group.add_argument("--charts", type=int, default=ob.ATLAS_STATE_SPACE_MAX_CHARTS_PER_EXTENSION,
                       help="Maximum number of atlas charts that can be generated during one "
                       "manifold traversal.")
 
 
class ConstrainedProblem(object):
 
    def __init__(self, spaceType, space, constraint, options):
        self.spaceType = spaceType
        self.space = space
        self.constraint = constraint
        self.constraint.setTolerance(options.tolerance)
        self.constraint.setMaxIterations(options.tries)
        self.options = options
        self.bench = None
        self.request = None
        self.pp = None
 
        if spaceType == "PJ":
            ou.OMPL_INFORM("Using Projection-Based State Space!")
            self.css = ob.ProjectedStateSpace(space, constraint)
            self.csi = ob.ConstrainedSpaceInformation(self.css)
        elif spaceType == "AT":
            ou.OMPL_INFORM("Using Atlas-Based State Space!")
            self.css = ob.AtlasStateSpace(space, constraint)
            self.csi = ob.ConstrainedSpaceInformation(self.css)
        elif spaceType == "TB":
            ou.OMPL_INFORM("Using Tangent Bundle-Based State Space!")
            self.css = ob.TangentBundleStateSpace(space, constraint)
            self.csi = ob.TangentBundleSpaceInformation(self.css)
 
        self.css.setup()
        self.css.setDelta(options.delta)
        self.css.setLambda(options.lambda_)
        if not spaceType == "PJ":
            self.css.setExploration(options.exploration)
            self.css.setEpsilon(options.epsilon)
            self.css.setRho(options.rho)
            self.css.setAlpha(options.alpha)
            self.css.setMaxChartsPerExtension(options.charts)
            if options.bias:
                self.css.setBiasFunction(lambda c, atlas=self.css:
                                         atlas.getChartCount() - c.getNeighborCount() + 1.)
            if spaceType == "AT":
                self.css.setSeparated(not options.no_separate)
            self.css.setup()
        self.ss = og.SimpleSetup(self.csi)
 
    def setStartAndGoalStates(self, start, goal):
        # Create start and goal states
        if self.spaceType == "AT" or self.spaceType == "TB":
            self.css.anchorChart(start())
            self.css.anchorChart(goal())
 
        # Setup problem
        self.ss.setStartAndGoalStates(start, goal)
 
    def getPlanner(self, plannerName, projectionName=None):
        planner = eval('og.%s(self.csi)' % plannerName)
        try:
            if self.options.range == 0:
                if not self.spaceType == "PJ":
                    planner.setRange(self.css.getRho_s())
            else:
                planner.setRange(self.options.range)
        except:
            pass
        try:
            if projectionName:
                planner.setProjectionEvaluator(projectionName)
        except:
            pass
        return planner
 
    def setPlanner(self, plannerName, projectionName=None):
        self.pp = self.getPlanner(plannerName, projectionName)
        self.ss.setPlanner(self.pp)
 
    def solveOnce(self, output=False, name="ompl"):
        self.ss.setup()
        stat = self.ss.solve(self.options.time)
 
        if stat:
            # Get solution and validate
            path = self.ss.getSolutionPath()
            if not path.check():
                ou.OMPL_WARN("Path fails check!")
 
            if stat == ob.PlannerStatus.APPROXIMATE_SOLUTION:
                ou.OMPL_WARN("Solution is approximate.")
 
            # Simplify solution and validate simplified solution path.
            ou.OMPL_INFORM("Simplifying solution...")
            self.ss.simplifySolution(5.)
 
            simplePath = self.ss.getSolutionPath()
            ou.OMPL_INFORM("Simplified Path Length: %.3f -> %.3f" %
                           (path.length(), simplePath.length()))
 
            if not simplePath.check():
                ou.OMPL_WARN("Simplified path fails check!")
 
            # Interpolate and validate interpolated solution path.
            ou.OMPL_INFORM("Interpolating path...")
            path.interpolate()
 
            if not path.check():
                ou.OMPL_WARN("Interpolated simplified path fails check!")
 
            ou.OMPL_INFORM("Interpolating simplified path...")
            simplePath.interpolate()
 
            if not simplePath.check():
                ou.OMPL_WARN("Interpolated simplified path fails check!")
 
            if output:
                ou.OMPL_INFORM("Dumping path to `%s_path.txt`." % name)
                with open('%s_path.txt' % name, 'w') as pathfile:
                    print(path.printAsMatrix, file=pathfile)
 
                ou.OMPL_INFORM(
                    "Dumping simplified path to `%s_simplepath.txt`." % name)
                with open("%s_simplepath.txt" % name, 'w') as simplepathfile:
                    print(simplePath.printAsMatrix(), file=simplepathfile)
        else:
            ou.OMPL_WARN("No solution found.")
 
        return stat
 
    def setupBenchmark(self, planners, problem):
        self.bench = ot.Benchmark(self.ss, problem)
 
        self.bench.addExperimentParameter(
            "n", "INTEGER", str(self.constraint.getAmbientDimension()))
        self.bench.addExperimentParameter(
            "k", "INTEGER", str(self.constraint.getManifoldDimension()))
        self.bench.addExperimentParameter(
            "n - k", "INTEGER", str(self.constraint.getCoDimension()))
        self.bench.addExperimentParameter("space", "INTEGER", self.spaceType)
 
        self.request = ot.Benchmark.Request()
        self.request.maxTime = self.options.time
        self.request.maxMem = 1e9
        self.request.runCount = 100
        self.request.timeBetweenUpdates = 0.1
        self.request.saveConsoleOutput = False
        for planner in planners:
            self.bench.addPlanner(self.getPlanner(planner, problem))
 
        self.bench.setPreRunEvent(ot.PreSetupEvent(clearSpaceAndPlanner))
 
    def runBenchmark(self):
        self.bench.benchmark(self.request)
        filename = str(datetime.datetime.now()) + '_' + \
            self.bench.getExperimentName() + '_' + self.spaceType
        self.bench.saveResultsToFile(filename)
 
    def atlasStats(self):
        # For atlas types, output information about size of atlas and amount of
        # space explored
        if self.spaceType == "AT" or self.spaceType == "TB":
            ou.OMPL_INFORM("Atlas has %d charts" % self.css.getChartCount())
            if self.spaceType == "AT":
                ou.OMPL_INFORM("Atlas is approximately %.3f%% open" %
                               self.css.estimateFrontierPercent())
 
    def dumpGraph(self, name):
        ou.OMPL_INFORM("Dumping planner graph to `%s_graph.graphml`." % name)
        data = ob.PlannerData(self.csi)
        self.pp.getPlannerData(data)
 
        with open("%s_graph.graphml" % name, "w") as graphfile:
            print(data.printGraphML(), file=graphfile)
 
        if self.spaceType == "AT" or self.spaceType == "TB":
            ou.OMPL_INFORM("Dumping atlas to `%s_atlas.ply`." % name)
            with open("%s_atlas.ply" % name, "w") as atlasfile:
                print(self.css.printPLY(), file=atlasfile)