Commit 07d1f3c6 authored by stevet's avatar stevet
Browse files

reentering planner

parent 6878f63b
from hpp.corbaserver.rbprm.anymal import Robot
from hpp.gepetto import Viewer
from tools.display_tools import *
import time
print "Plan guide trajectory ..."
import anymal_circle_one_step_path as tp
print "Done."
import time
statusFilename = tp.statusFilename
pId = 0
f = open(statusFilename,"a")
if tp.ps.numberPaths() > 0 :
print "Path planning OK."
f.write("Planning_success: True"+"\n")
f.close()
else :
print "Error during path planning"
f.write("Planning_success: False"+"\n")
f.close()
import sys
sys.exit(1)
fullBody = Robot ()
root_bounds = tp.root_bounds
root_bounds[-1] = 0.6
root_bounds[-2] = 0.3
# Set the bounds for the root
fullBody.setJointBounds ("root_joint", root_bounds)
## reduce bounds on joints along x, to put conservative condition on the contact generation for sideway steps
fullBody.setVeryConstrainedJointsBounds()
# add the 6 extraDof for velocity and acceleration (see *_path.py script)
fullBody.client.robot.setDimensionExtraConfigSpace(tp.extraDof)
fullBody.client.robot.setExtraConfigSpaceBounds([-tp.vMax,tp.vMax,-tp.vMax,tp.vMax,0,0,-tp.aMax,tp.aMax,-tp.aMax,tp.aMax,0,0])
ps = tp.ProblemSolver( fullBody )
ps.setParameter("Kinodynamic/velocityBound",tp.vMax)
ps.setParameter("Kinodynamic/accelerationBound",tp.aMax)
#load the viewer
try :
v = tp.Viewer (ps,viewerClient=tp.v.client, displayCoM = True)
except Exception:
print "No viewer started !"
class FakeViewer():
def __init__(self):
return
def __call__(self,q):
return
def addLandmark(self,a,b):
return
v = FakeViewer()
# load a reference configuration
q_ref = fullBody.referenceConfig[::]+[0]*6
#q_ref = fullBody.referenceConfig_legsApart[::]+[0]*6
q_init = q_ref[::]
fullBody.setReferenceConfig(q_ref)
fullBody.setPostureWeights(fullBody.postureWeights[::]+[0]*6)
fullBody.usePosturalTaskContactCreation(True)
"""
if abs(tp.q_goal[1]) <= abs(tp.q_goal[0]) :
heuristicR = "fixedStep08"
heuristicL = "fixedStep08"
print "Use weight for straight walk"
fullBody.usePosturalTaskContactCreation(True)
else :
print "Use weight for straff walk"
if tp.q_goal[1] < 0 :
print "start with right leg"
heuristicL = "static"
heuristicR = "fixedStep06"
else:
print "start with left leg"
heuristicR = "static"
heuristicL = "fixedStep06"
"""
fullBody.setCurrentConfig (q_init)
print "Generate limb DB ..."
tStart = time.time()
# generate databases :
"""
nbSamples = 100000
fullBody.addLimb(fullBody.rLegId,fullBody.rleg,fullBody.rfoot,fullBody.rLegOffset,fullBody.rLegNormal, fullBody.rLegx, fullBody.rLegy, nbSamples, heuristicR, 0.01,kinematicConstraintsPath=fullBody.rLegKinematicConstraints,kinematicConstraintsMin = 0.85)
fullBody.runLimbSampleAnalysis(fullBody.rLegId, "ReferenceConfiguration", True)
fullBody.addLimb(fullBody.lLegId,fullBody.lleg,fullBody.lfoot,fullBody.lLegOffset,fullBody.rLegNormal, fullBody.lLegx, fullBody.lLegy, nbSamples, heuristicL, 0.01,kinematicConstraintsPath=fullBody.lLegKinematicConstraints,kinematicConstraintsMin = 0.85)
fullBody.runLimbSampleAnalysis(fullBody.lLegId, "ReferenceConfiguration", True)
"""
#~ fullBody.loadAllLimbs("fixedStep04","ReferenceConfiguration")
fullBody.loadAllLimbs("static","ReferenceConfiguration")
tGenerate = time.time() - tStart
print "Done."
print "Databases generated in : "+str(tGenerate)+" s"
#define initial and final configurations :
configSize = fullBody.getConfigSize() -fullBody.client.robot.getDimensionExtraConfigSpace()
q_init[0:7] = tp.ps.configAtParam(pId,0)[0:7] # use this to get the correct orientation
q_goal = q_init[::]; q_goal[0:7] = tp.ps.configAtParam(pId,tp.ps.pathLength(pId))[0:7]
vel_init = tp.ps.configAtParam(pId,0)[tp.indexECS:tp.indexECS+3]
acc_init = tp.ps.configAtParam(pId,0)[tp.indexECS+3:tp.indexECS+6]
vel_goal = tp.ps.configAtParam(pId,tp.ps.pathLength(pId))[tp.indexECS:tp.indexECS+3]
acc_goal = [0,0,0]
robTreshold = 3
# copy extraconfig for start and init configurations
q_init[configSize:configSize+3] = vel_init[::]
q_init[configSize+3:configSize+6] = acc_init[::]
q_goal[configSize:configSize+3] = vel_goal[::]
q_goal[configSize+3:configSize+6] = [0,0,0]
q_init[2] = q_ref[2]
q_goal[2] = q_ref[2]
fullBody.setStaticStability(True)
fullBody.setCurrentConfig (q_init)
v(q_init)
fullBody.setCurrentConfig (q_goal)
v(q_goal)
v.addLandmark('anymal/base_0',0.3)
v(q_init)
#fullBody.setReferenceConfig(fullBody.referenceConfig_legsApart[::]+[0]*6)
# specify the full body configurations as start and goal state of the problem
normals = [[0.,0.,1.] for _ in range(4)]
if q_goal[1] < 0: # goal on the right side of the circle, start motion with right leg first
fullBody.setStartState(q_init,[fullBody.rArmId,fullBody.rLegId,fullBody.lArmId,fullBody.lLegId],normals)
fullBody.setEndState(q_goal,[fullBody.rArmId,fullBody.rLegId,fullBody.lArmId,fullBody.lLegId],normals)
else :
fullBody.setStartState(q_init,[fullBody.lArmId,fullBody.lLegId,fullBody.rArmId,fullBody.rLegId],normals)
fullBody.setEndState(q_goal,[fullBody.lArmId,fullBody.lLegId,fullBody.rArmId,fullBody.rLegId],normals)
print "Generate contact plan ..."
tStart = time.time()
configs = fullBody.interpolate(0.002,pathId=pId,robustnessTreshold = 1, filterStates = True,quasiStatic=True)
tInterpolateConfigs = time.time() - tStart
print "Done."
print "Contact plan generated in : "+str(tInterpolateConfigs)+" s"
print "number of configs :", len(configs)
if len(configs) < 2 :
cg_success = False
print "Error during contact generation."
else:
cg_success = True
print "Contact generation Done."
if abs(configs[-1][0] - tp.q_goal[0]) < 0.01 and abs(configs[-1][1]- tp.q_goal[1]) < 0.01 and (len(fullBody.getContactsVariations(len(configs)-2,len(configs)-1))==1):
print "Contact generation successful."
cg_reach_goal = True
else:
print "Contact generation failed to reach the goal."
cg_reach_goal = False
if len(configs) > 10 :
cg_too_many_states = True
cg_success = False
print "Discarded contact sequence because it was too long."
else:
cg_too_many_states = False
f = open(statusFilename,"a")
f.write("cg_success: "+str(cg_success)+"\n")
f.write("cg_reach_goal: "+str(cg_reach_goal)+"\n")
f.write("cg_too_many_states: "+str(cg_too_many_states)+"\n")
f.close()
if (not cg_success) or cg_too_many_states or (not cg_reach_goal):
import sys
sys.exit(1)
# put back original bounds for wholebody methods
#~ fullBody.resetJointsBounds()
import hpp.corbaserver.rbprm.fewstepsplanner as sp
states = sp.interpolateState(fullBody, 0.002,pathId=pId,robustnessTreshold = 1, filterStates = True,quasiStatic=True)
fsp = sp.FewStepPlanner(tp.cl,tp.ps,tp.rbprmBuilder, fullBody, pathPlayer = tp.pp)
#~ print "names ", fsp.rbprmBuilder.getAllJointNames()
#~ print "names ", tp.rbprmBuilder.getAllJointNames()
n_goal = tp.q_goal[:7]
n_goal[0] += 1
goal_state = states[-1].q()[:]
goal_state[:7] = n_goal
fullBody.setStartState(states[-1].q(),[fullBody.rArmId,fullBody.rLegId,fullBody.lArmId,fullBody.lLegId],normals)
fullBody.setEndState(goal_state, [fullBody.rArmId,fullBody.rLegId,fullBody.lArmId,fullBody.lLegId],normals)
pId= fsp.guidePath(tp.q_goal[:7],n_goal)
states2 = sp.interpolateState(fullBody, 0.002,pathId=pId,robustnessTreshold = 1, filterStates = True,quasiStatic=True, erasePreviousStates = False)
goal_state[6] = -1
fullBody.setStartState(states[-1].q(),[fullBody.rArmId,fullBody.rLegId,fullBody.lArmId,fullBody.lLegId],normals)
fullBody.setEndState(goal_state, [fullBody.rArmId,fullBody.rLegId,fullBody.lArmId,fullBody.lLegId],normals)
pId= fsp.guidePath(tp.q_goal[:7],n_goal)
states3 = sp.interpolateState(fullBody, 0.001,pathId=pId,robustnessTreshold = 1, filterStates = True,quasiStatic=True, erasePreviousStates = False)
from hpp.corbaserver.rbprm.anymal_abstract import Robot
from hpp.gepetto import Viewer
from hpp.corbaserver import ProblemSolver
import numpy as np
import time
#~ statusFilename = "/res/infos.log"
statusFilename = "/tmp/infos.log"
vMax = 0.3# linear velocity bound for the root
aMax = 1.# linear acceleration bound for the root
extraDof = 6
mu=0.5# coefficient of friction
# Creating an instance of the helper class, and loading the robot
# Creating an instance of the helper class, and loading the robot
rbprmBuilder = Robot ()
# Define bounds for the root : bounding box of the scenario
root_bounds = [-2,2, -2, 2, 0.4, 0.5]
rbprmBuilder.setJointBounds ("root_joint", root_bounds)
# The following lines set constraint on the valid configurations:
# a configuration is valid only if all limbs can create a contact with the corresponding afforcances type
rbprmBuilder.setFilter(rbprmBuilder.urdfNameRom)
for rom in rbprmBuilder.urdfNameRom :
rbprmBuilder.setAffordanceFilter(rom, ['Support'])
# We also bound the rotations of the torso. (z, y, x)
rbprmBuilder.boundSO3([-1.7,1.7,-0.1,0.1,-0.1,0.1])
# Add 6 extraDOF to the problem, used to store the linear velocity and acceleration of the root
rbprmBuilder.client.robot.setDimensionExtraConfigSpace(extraDof)
# We set the bounds of this extraDof with velocity and acceleration bounds (expect on z axis)
rbprmBuilder.client.robot.setExtraConfigSpaceBounds([-vMax,vMax,-vMax,vMax,0,0,-aMax,aMax,-aMax,aMax,0,0])
indexECS = rbprmBuilder.getConfigSize() - rbprmBuilder.client.robot.getDimensionExtraConfigSpace()
# Creating an instance of HPP problem solver
ps = ProblemSolver( rbprmBuilder )
# define parameters used by various methods :
ps.setParameter("Kinodynamic/velocityBound",vMax)
ps.setParameter("Kinodynamic/accelerationBound",aMax)
ps.setParameter("DynamicPlanner/sizeFootX",0.01)
ps.setParameter("DynamicPlanner/sizeFootY",0.01)
ps.setParameter("DynamicPlanner/friction",mu)
# sample only configuration with null velocity and acceleration :
ps.setParameter("ConfigurationShooter/sampleExtraDOF",False)
# initialize the viewer :
from hpp.gepetto import ViewerFactory
vf = ViewerFactory (ps)
# load the module to analyse the environnement and compute the possible contact surfaces
from hpp.corbaserver.affordance.affordance import AffordanceTool
afftool = AffordanceTool ()
afftool.setAffordanceConfig('Support', [0.5, 0.03, 0.00005])
afftool.loadObstacleModel ("hpp_environments", "multicontact/ground", "planning", vf)
try :
v = vf.createViewer(displayArrows = True)
except Exception:
print "No viewer started !"
class FakeViewer():
def __init__(self):
return
def __call__(self,q):
return
v = FakeViewer()
#afftool.visualiseAffordances('Support', v, v.color.lightBrown)
q_init = rbprmBuilder.getCurrentConfig ();
q_init[0:3] = [0,0,0.465]
q_init[3:7] = [0,0,0,1]
# sample random position on a circle of radius 2m
radius = 0.15
import random
random.seed()
alpha = random.uniform(0.,2.*np.pi)
print "Test on a circle, alpha = ",alpha
q_goal = q_init[::]
q_goal [0:3] = [radius*np.sin(alpha), -radius*np.cos(alpha), 0.465]
print "initial root position : ",q_init[0:3]
print "final root position : ",q_goal[0:3]
ps.setInitialConfig (q_init)
ps.addGoalConfig (q_goal)
# write problem in files :
f = open(statusFilename,"w")
f.write("q_init= "+str(q_init)+"\n")
f.write("q_goal= "+str(q_goal)+"\n")
f.close()
# Choosing RBPRM shooter and path validation methods.
ps.selectConfigurationShooter("RbprmShooter")
ps.selectPathValidation("RbprmPathValidation",0.05)
# Choosing kinodynamic methods :
ps.selectSteeringMethod("RBPRMKinodynamic")
ps.selectDistance("Kinodynamic")
ps.selectPathPlanner("DynamicPlanner")
# Solve the planning problem :
t = ps.solve ()
print "Guide planning time : ",t
try :
# display solution :
from hpp.gepetto import PathPlayer
pp = PathPlayer (v)
pp.dt=0.1
pp.displayVelocityPath(0)
#v.client.gui.setVisibility("path_0_root","ALWAYS_ON_TOP")
pp.dt=0.01
#pp(0)
except Exception:
pass
# move the robot out of the view before computing the contacts
q_far = q_init[::]
q_far[2] = -2
pId = ps.numberPaths() - 1
from hpp.corbaserver import Client
#~ #DEMO code to play root path and final contact plan
cl = Client()
cl.problem.selectProblem("rbprm_path")
rbprmBuilder2 = Robot ("toto")
ps2 = ProblemSolver( rbprmBuilder2 )
cl.problem.selectProblem("default")
cl.problem.movePathToProblem(pId,"rbprm_path",rbprmBuilder.getAllJointNames()[1:])
r2 = Viewer (ps2, viewerClient=v.client)
r2(q_far)
#~ v(q_far)
#!/bin/bash
gepetto-gui &
hpp-rbprm-server &
ipython -i --no-confirm-exit ./$1
pkill -f 'gepetto-gui'
pkill -f 'hpp-rbprm-server'
#!/usr/bin/env python
# Copyright (c) 2014 CNRS
# Author: Steve Tonneau
#
# This file is part of hpp-rbprm-corba.
# hpp-rbprm-corba is free software: you can redistribute it
# and/or modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation, either version
# 3 of the License, or (at your option) any later version.
#
# hpp-manipulation-corba is distributed in the hope that it will be
# useful, but WITHOUT ANY WARRANTY; without even the implied warranty
# of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Lesser Public License for more details. You should have
# received a copy of the GNU Lesser General Public License along with
# hpp-manipulation-corba. If not, see
# <http://www.gnu.org/licenses/>.
from hpp.corbaserver.rbprm import Client as RbprmClient
from hpp.corbaserver import Client as BasicClient
#from hpp.corbaserver.rbprm.tools.com_constraints import *
from numpy import array
from hpp.corbaserver.rbprm import rbprmstate
from hpp.corbaserver.rbprm.rbprmstate import State
def interpolateState(fullBody, stepsize, pathId = 1, robustnessTreshold = 0, filterStates = False, testReachability = True, quasiStatic = False, erasePreviousStates = False):
if(filterStates):
filt = 1
else:
filt = 0
configs = fullBody.clientRbprm.rbprm.interpolate(stepsize, pathId, robustnessTreshold, filt, testReachability, quasiStatic, erasePreviousStates)
firstStateId = fullBody.clientRbprm.rbprm.getNumStates() - len(configs)
return [ State(fullBody, i) for i in range(firstStateId, firstStateId + len(configs)) ]
def guidePath(problemSolver, fromPos, toPos):
ps = problemSolver
ps.setInitialConfig (fromPos)
ps.addGoalConfig(toPos)
ps.solve ()
return ps.numberPaths() - 1
class FewStepPlanner(object):
def __init__ (self, client, problemSolver, rbprmBuilder, fullBody, planContext="rbprm_path", fullBodyContext="default", pathPlayer = None ):
self.fullBody = fullBody
self.rbprmBuilder = rbprmBuilder
self.client = client
self.planContext = planContext
self.fullBodyContext = fullBodyContext
self.problemSolver = problemSolver
self.pathPlayer = pathPlayer
def setPlanningContext(self):
self.client.problem.selectProblem(self.planContext)
def setFullBodyContext(self):
self.client.problem.selectProblem(self.fullBodyContext )
def setCurrentContext(self,context):
return self.client.problem.selectProblem(context)
def currentContext(self):
return self.client.problem.getSelected("problem")[0]
def _actInContext(self, context,f,*args):
oldContext = self.currentContext()
self.setCurrentContext(context)
res = f(*args)
self.setCurrentContext(oldContext)
return res
def guidePath(self, fromPos, toPos):
pId = self._actInContext(self.planContext,guidePath,self.problemSolver, fromPos, toPos)
self.setPlanningContext()
names = self.rbprmBuilder.getAllJointNames()[1:]
self.pathPlayer(pId)
self.client.problem.movePathToProblem(pId,self.fullBodyContext, names)
self.setFullBodyContext()
return pId
......@@ -259,7 +259,7 @@ class FullBody (Robot):
## Get the number of existing states in the client
#
def getNumStates(self, limbName):
def getNumStates(self):
return self.clientRbprm.rbprm.getNumStates()
## Get the number of octreeNodes
......
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