This commit is contained in:
Erwin Coumans
2017-02-21 17:38:32 -08:00
11 changed files with 556 additions and 36 deletions

View File

@@ -2,7 +2,7 @@
<robot name="cube.urdf">
<link name="planeLink">
<contact>
<lateral_friction value="1.5"/>
<lateral_friction value="2"/>
</contact>
<inertial>
<origin rpy="0 0 0" xyz="0 0 0"/>

View File

@@ -15,7 +15,7 @@
</geometry>
</collision>
<inertial>
<mass value="1."/>
<mass value="3.2"/>
<inertia ixx="1.0" ixy="0.0" ixz="0.0" iyy="1.0" iyz="0.0" izz="1.0"/>
</inertial>
</link>

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@@ -448,7 +448,7 @@ struct MinitaurStateLogger : public InternalStateLogger
btMultiBody* m_minitaurMultiBody;
btAlignedObjectArray<int> m_motorIdList;
MinitaurStateLogger(int loggingUniqueId, std::string fileName, btMultiBody* minitaurMultiBody, btAlignedObjectArray<int>& motorIdList)
MinitaurStateLogger(int loggingUniqueId, const std::string& fileName, btMultiBody* minitaurMultiBody, btAlignedObjectArray<int>& motorIdList)
:m_loggingTimeStamp(0),
m_logFileHandle(0),
m_minitaurMultiBody(minitaurMultiBody)
@@ -558,6 +558,171 @@ struct MinitaurStateLogger : public InternalStateLogger
}
};
struct GenericRobotStateLogger : public InternalStateLogger
{
float m_loggingTimeStamp;
std::string m_fileName;
FILE* m_logFileHandle;
std::string m_structTypes;
btMultiBodyDynamicsWorld* m_dynamicsWorld;
btAlignedObjectArray<int> m_bodyIdList;
bool m_filterObjectUniqueId;
GenericRobotStateLogger(int loggingUniqueId, std::string fileName, btMultiBodyDynamicsWorld* dynamicsWorld)
:m_loggingTimeStamp(0),
m_logFileHandle(0),
m_filterObjectUniqueId(false),
m_dynamicsWorld(dynamicsWorld)
{
m_loggingType = STATE_LOGGING_GENERIC_ROBOT;
btAlignedObjectArray<std::string> structNames;
structNames.push_back("timeStamp");
structNames.push_back("objectId");
structNames.push_back("posX");
structNames.push_back("posY");
structNames.push_back("posZ");
structNames.push_back("oriX");
structNames.push_back("oriY");
structNames.push_back("oriZ");
structNames.push_back("oriW");
structNames.push_back("velX");
structNames.push_back("velY");
structNames.push_back("velZ");
structNames.push_back("omegaX");
structNames.push_back("omegaY");
structNames.push_back("omegaZ");
structNames.push_back("qNum");
structNames.push_back("q0");
structNames.push_back("q1");
structNames.push_back("q2");
structNames.push_back("q3");
structNames.push_back("q4");
structNames.push_back("q5");
structNames.push_back("q6");
structNames.push_back("q7");
structNames.push_back("q8");
structNames.push_back("q9");
structNames.push_back("q10");
structNames.push_back("q11");
structNames.push_back("u0");
structNames.push_back("u1");
structNames.push_back("u2");
structNames.push_back("u3");
structNames.push_back("u4");
structNames.push_back("u5");
structNames.push_back("u6");
structNames.push_back("u7");
structNames.push_back("u8");
structNames.push_back("u9");
structNames.push_back("u10");
structNames.push_back("u11");
m_structTypes = "fIfffffffffffffIffffffffffffffffffffffff";
const char* fileNameC = fileName.c_str();
m_logFileHandle = createMinitaurLogFile(fileNameC, structNames, m_structTypes);
}
virtual void stop()
{
if (m_logFileHandle)
{
closeMinitaurLogFile(m_logFileHandle);
m_logFileHandle = 0;
}
}
virtual void logState(btScalar timeStep)
{
if (m_logFileHandle)
{
for (int i=0;i<m_dynamicsWorld->getNumMultibodies();i++)
{
btMultiBody* mb = m_dynamicsWorld->getMultiBody(i);
int objectUniqueId = mb->getUserIndex2();
if (m_filterObjectUniqueId && m_bodyIdList.findLinearSearch2(objectUniqueId) < 0)
{
continue;
}
MinitaurLogRecord logData;
logData.m_values.push_back(m_loggingTimeStamp);
btVector3 pos = mb->getBasePos();
btQuaternion ori = mb->getWorldToBaseRot();
btVector3 vel = mb->getBaseVel();
btVector3 omega = mb->getBaseOmega();
float posX = pos[0];
float posY = pos[1];
float posZ = pos[2];
float oriX = ori.x();
float oriY = ori.y();
float oriZ = ori.z();
float oriW = ori.w();
float velX = vel[0];
float velY = vel[1];
float velZ = vel[2];
float omegaX = omega[0];
float omegaY = omega[1];
float omegaZ = omega[2];
logData.m_values.push_back(objectUniqueId);
logData.m_values.push_back(posX);
logData.m_values.push_back(posY);
logData.m_values.push_back(posZ);
logData.m_values.push_back(oriX);
logData.m_values.push_back(oriY);
logData.m_values.push_back(oriZ);
logData.m_values.push_back(oriW);
logData.m_values.push_back(velX);
logData.m_values.push_back(velY);
logData.m_values.push_back(velZ);
logData.m_values.push_back(omegaX);
logData.m_values.push_back(omegaY);
logData.m_values.push_back(omegaZ);
int numDofs = mb->getNumDofs();
logData.m_values.push_back(numDofs);
for (int j = 0; j < 12; ++j)
{
if (j < numDofs)
{
float q = mb->getJointPos(j);
logData.m_values.push_back(q);
}
else
{
float q = 0.0;
logData.m_values.push_back(q);
}
}
for (int j = 0; j < 12; ++j)
{
if (j < numDofs)
{
float u = mb->getJointVel(j);
logData.m_values.push_back(u);
}
else
{
float u = 0.0;
logData.m_values.push_back(u);
}
}
//at the moment, appendMinitaurLogData will directly write to disk (potential delay)
//better to fill a huge memory buffer and once in a while write it to disk
appendMinitaurLogData(m_logFileHandle, m_structTypes, logData);
fflush(m_logFileHandle);
}
m_loggingTimeStamp++;
}
}
};
struct PhysicsServerCommandProcessorInternalData
{
@@ -1683,6 +1848,26 @@ bool PhysicsServerCommandProcessor::processCommand(const struct SharedMemoryComm
}
}
}
if (clientCmd.m_stateLoggingArguments.m_logType == STATE_LOGGING_GENERIC_ROBOT)
{
std::string fileName = clientCmd.m_stateLoggingArguments.m_fileName;
int loggerUid = m_data->m_stateLoggersUniqueId++;
GenericRobotStateLogger* logger = new GenericRobotStateLogger(loggerUid,fileName,m_data->m_dynamicsWorld);
if ((clientCmd.m_updateFlags & STATE_LOGGING_FILTER_OBJECT_UNIQUE_ID) && (clientCmd.m_stateLoggingArguments.m_numBodyUniqueIds>0))
{
logger->m_filterObjectUniqueId = true;
for (int i = 0; i < clientCmd.m_stateLoggingArguments.m_numBodyUniqueIds; ++i)
{
logger->m_bodyIdList.push_back(clientCmd.m_stateLoggingArguments.m_bodyUniqueIds[i]);
}
}
m_data->m_stateLoggers.push_back(logger);
serverStatusOut.m_type = CMD_STATE_LOGGING_START_COMPLETED;
serverStatusOut.m_stateLoggingResultArgs.m_loggingUniqueId = loggerUid;
}
}
if ((clientCmd.m_updateFlags & STATE_LOGGING_STOP_LOG) && clientCmd.m_stateLoggingArguments.m_loggingUniqueId>=0)
{

View File

@@ -0,0 +1,92 @@
import pybullet as p
import time
import math
from datetime import datetime
#clid = p.connect(p.SHARED_MEMORY)
p.connect(p.GUI)
p.loadURDF("plane.urdf",[0,0,-0.3],useFixedBase=True)
kukaId = p.loadURDF("kuka_iiwa/model.urdf",[0,0,0],useFixedBase=True)
p.resetBasePositionAndOrientation(kukaId,[0,0,0],[0,0,0,1])
kukaEndEffectorIndex = 6
numJoints = p.getNumJoints(kukaId)
if (numJoints!=7):
exit()
p.loadURDF("cube.urdf",[2,2,5])
p.loadURDF("cube.urdf",[-2,-2,5])
p.loadURDF("cube.urdf",[2,-2,5])
#lower limits for null space
ll=[-.967,-2 ,-2.96,0.19,-2.96,-2.09,-3.05]
#upper limits for null space
ul=[.967,2 ,2.96,2.29,2.96,2.09,3.05]
#joint ranges for null space
jr=[5.8,4,5.8,4,5.8,4,6]
#restposes for null space
rp=[0,0,0,0.5*math.pi,0,-math.pi*0.5*0.66,0]
#joint damping coefficents
jd=[0.1,0.1,0.1,0.1,0.1,0.1,0.1]
for i in range (numJoints):
p.resetJointState(kukaId,i,rp[i])
p.setGravity(0,0,-10)
t=0.
prevPose=[0,0,0]
prevPose1=[0,0,0]
hasPrevPose = 0
useNullSpace = 0
count = 0
useOrientation = 1
useSimulation = 1
useRealTimeSimulation = 1
p.setRealTimeSimulation(useRealTimeSimulation)
#trailDuration is duration (in seconds) after debug lines will be removed automatically
#use 0 for no-removal
trailDuration = 15
logId = p.startStateLogging(p.STATE_LOGGING_GENERIC_ROBOT,"LOG0001.txt",[0,1,2])
while 1:
if (useRealTimeSimulation):
dt = datetime.now()
t = (dt.second/60.)*2.*math.pi
else:
t=t+0.1
if (useSimulation and useRealTimeSimulation==0):
p.stepSimulation()
for i in range (1):
pos = [-0.4,0.2*math.cos(t),0.+0.2*math.sin(t)]
#end effector points down, not up (in case useOrientation==1)
orn = p.getQuaternionFromEuler([0,-math.pi,0])
if (useNullSpace==1):
if (useOrientation==1):
jointPoses = p.calculateInverseKinematics(kukaId,kukaEndEffectorIndex,pos,orn,ll,ul,jr,rp)
else:
jointPoses = p.calculateInverseKinematics(kukaId,kukaEndEffectorIndex,pos,lowerLimits=ll, upperLimits=ul, jointRanges=jr, restPoses=rp)
else:
if (useOrientation==1):
jointPoses = p.calculateInverseKinematics(kukaId,kukaEndEffectorIndex,pos,orn,jointDamping=jd)
else:
jointPoses = p.calculateInverseKinematics(kukaId,kukaEndEffectorIndex,pos)
if (useSimulation):
for i in range (numJoints):
p.setJointMotorControl2(bodyIndex=kukaId,jointIndex=i,controlMode=p.POSITION_CONTROL,targetPosition=jointPoses[i],targetVelocity=0,force=500,positionGain=0.03,velocityGain=1)
else:
#reset the joint state (ignoring all dynamics, not recommended to use during simulation)
for i in range (numJoints):
p.resetJointState(kukaId,i,jointPoses[i])
ls = p.getLinkState(kukaId,kukaEndEffectorIndex)
if (hasPrevPose):
p.addUserDebugLine(prevPose,pos,[0,0,0.3],1,trailDuration)
p.addUserDebugLine(prevPose1,ls[4],[1,0,0],1,trailDuration)
prevPose=pos
prevPose1=ls[4]
hasPrevPose = 1

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@@ -0,0 +1,77 @@
import pybullet as p
import time
import math
from datetime import datetime
from numpy import *
from pylab import *
import struct
import sys
import os, fnmatch
import argparse
from time import sleep
def readLogFile(filename, verbose = True):
f = open(filename, 'rb')
print('Opened'),
print(filename)
keys = f.readline().rstrip('\n').split(',')
fmt = f.readline().rstrip('\n')
# The byte number of one record
sz = struct.calcsize(fmt)
# The type number of one record
ncols = len(fmt)
if verbose:
print('Keys:'),
print(keys)
print('Format:'),
print(fmt)
print('Size:'),
print(sz)
print('Columns:'),
print(ncols)
# Read data
wholeFile = f.read()
# split by alignment word
chunks = wholeFile.split('\xaa\xbb')
log = list()
for chunk in chunks:
if len(chunk) == sz:
values = struct.unpack(fmt, chunk)
record = list()
for i in range(ncols):
record.append(values[i])
log.append(record)
return log
#clid = p.connect(p.SHARED_MEMORY)
p.connect(p.GUI)
p.loadURDF("plane.urdf",[0,0,-0.3])
p.loadURDF("kuka_iiwa/model.urdf",[0,0,0])
p.loadURDF("cube.urdf",[2,2,5])
p.loadURDF("cube.urdf",[-2,-2,5])
p.loadURDF("cube.urdf",[2,-2,5])
log = readLogFile("LOG0001.txt")
recordNum = len(log)
itemNum = len(log[0])
print('record num:'),
print(recordNum)
print('item num:'),
print(itemNum)
for record in log:
Id = record[1]
pos = [record[2],record[3],record[4]]
orn = [record[5],record[6],record[7],record[8]]
p.resetBasePositionAndOrientation(Id,pos,orn)
numJoints = record[15]
for i in range (numJoints):
p.resetJointState(Id,i,record[i+16])
sleep(0.0005)

View File

@@ -1,14 +1,12 @@
import pybullet as p
import numpy as np
class Minitaur:
def __init__(self):
def __init__(self, urdfRootPath=''):
self.urdfRootPath = urdfRootPath
self.reset()
def reset(self):
self.quadruped = p.loadURDF("quadruped/quadruped.urdf",0,0,.3)
self.kp = 1
self.kd = 0.1
self.maxForce = 100
def buildJointNameToIdDict(self):
nJoints = p.getNumJoints(self.quadruped)
self.jointNameToId = {}
for i in range(nJoints):
@@ -18,13 +16,39 @@ class Minitaur:
for i in range(100):
p.stepSimulation()
def buildMotorIdList(self):
self.motorIdList.append(self.jointNameToId['motor_front_leftR_joint'])
self.motorIdList.append(self.jointNameToId['motor_front_leftL_joint'])
self.motorIdList.append(self.jointNameToId['motor_back_leftR_joint'])
self.motorIdList.append(self.jointNameToId['motor_back_leftL_joint'])
self.motorIdList.append(self.jointNameToId['motor_front_rightL_joint'])
self.motorIdList.append(self.jointNameToId['motor_front_rightR_joint'])
self.motorIdList.append(self.jointNameToId['motor_back_rightL_joint'])
self.motorIdList.append(self.jointNameToId['motor_back_rightR_joint'])
def reset(self):
self.quadruped = p.loadURDF("%s/quadruped/quadruped.urdf" % self.urdfRootPath,0,0,.3)
self.kp = 1
self.kd = 0.1
self.maxForce = 3.5
self.nMotors = 8
self.motorIdList = []
self.motorDir = [1, -1, 1, -1, -1, 1, -1, 1]
self.buildJointNameToIdDict()
self.buildMotorIdList()
def disableAllMotors(self):
nJoints = p.getNumJoints(self.quadruped)
for i in range(nJoints):
p.setJointMotorControl2(bodyIndex=self.quadruped, jointIndex=i, controlMode=p.VELOCITY_CONTROL, force=0)
def setMotorAngleById(self, motorId, desiredAngle):
p.setJointMotorControl2(bodyIndex=self.quadruped, jointIndex=motorId, controlMode=p.POSITION_CONTROL, targetPosition=desiredAngle, positionGain=self.kp, velocityGain=self.kd, force=self.maxForce)
def setMotorAngleByName(self, motorName, desiredAngle):
p.setJointMotorControl2(bodyIndex=self.quadruped, jointIndex=self.jointNameToId[motorName], controlMode=p.POSITION_CONTROL, targetPosition=desiredAngle, positionGain=self.kp, velocityGain=self.kd, force=self.maxForce)
self.setMotorAngleById(self.jointNameToId[motorName], desiredAngle)
def resetPose(self):
#right front leg
@@ -73,11 +97,30 @@ class Minitaur:
return orientation
def applyAction(self, motorCommands):
self.setMotorAngleByName('motor_front_rightR_joint', motorCommands[0])
self.setMotorAngleByName('motor_front_rightL_joint', motorCommands[1])
self.setMotorAngleByName('motor_front_leftR_joint', motorCommands[2])
self.setMotorAngleByName('motor_front_leftL_joint', motorCommands[3])
self.setMotorAngleByName('motor_back_rightR_joint', motorCommands[4])
self.setMotorAngleByName('motor_back_rightL_joint', motorCommands[5])
self.setMotorAngleByName('motor_back_leftR_joint', motorCommands[6])
self.setMotorAngleByName('motor_back_leftL_joint', motorCommands[7])
motorCommandsWithDir = np.multiply(motorCommands, self.motorDir)
for i in range(self.nMotors):
self.setMotorAngleById(self.motorIdList[i], motorCommandsWithDir[i])
def getMotorAngles(self):
motorAngles = []
for i in range(self.nMotors):
jointState = p.getJointState(self.quadruped, self.motorIdList[i])
motorAngles.append(jointState[0])
motorAngles = np.multiply(motorAngles, self.motorDir)
return motorAngles
def getMotorVelocities(self):
motorVelocities = []
for i in range(self.nMotors):
jointState = p.getJointState(self.quadruped, self.motorIdList[i])
motorVelocities.append(jointState[1])
motorVelocities = np.multiply(motorVelocities, self.motorDir)
return motorVelocities
def getMotorTorques(self):
motorTorques = []
for i in range(self.nMotors):
jointState = p.getJointState(self.quadruped, self.motorIdList[i])
motorTorques.append(jointState[3])
motorTorques = np.multiply(motorTorques, self.motorDir)
return motorTorques

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@@ -0,0 +1,99 @@
from minitaur import Minitaur
import pybullet as p
import numpy as np
import time
import sys
import math
minitaur = None
evaluate_func_map = dict()
def current_position():
global minitaur
position = minitaur.getBasePosition()
return np.asarray(position)
def is_fallen():
global minitaur
orientation = minitaur.getBaseOrientation()
rotMat = p.getMatrixFromQuaterion(orientation)
localUp = rotMat[6:]
return np.dot(np.asarray([0, 0, 1]), np.asarray(localUp)) < 0
def evaluate_desired_motorAngle_8Amplitude8Phase(i, params):
nMotors = 8
speed = 0.35
for jthMotor in range(nMotors):
joint_values[jthMotor] = math.sin(i*speed + params[nMotors + jthMotor])*params[jthMotor]*+1.57
return joint_values
def evaluate_desired_motorAngle_2Amplitude4Phase(i, params):
speed = 0.35
phaseDiff = params[2]
a0 = math.sin(i * speed) * params[0] + 1.57
a1 = math.sin(i * speed + phaseDiff) * params[1] + 1.57
a2 = math.sin(i * speed + params[3]) * params[0] + 1.57
a3 = math.sin(i * speed + params[3] + phaseDiff) * params[1] + 1.57
a4 = math.sin(i * speed + params[4] + phaseDiff) * params[1] + 1.57
a5 = math.sin(i * speed + params[4]) * params[0] + 1.57
a6 = math.sin(i * speed + params[5] + phaseDiff) * params[1] + 1.57
a7 = math.sin(i * speed + params[5]) * params[0] + 1.57
joint_values = [a0, a1, a2, a3, a4, a5, a6, a7]
return joint_values
def evaluate_desired_motorAngle_hop(i, params):
amplitude = params[0]
speed = params[1]
a1 = math.sin(i*speed)*amplitude+1.57
a2 = math.sin(i*speed+3.14)*amplitude+1.57
joint_values = [a1, 1.57, a2, 1.57, 1.57, a1, 1.57, a2]
return joint_values
evaluate_func_map['evaluate_desired_motorAngle_8Amplitude8Phase'] = evaluate_desired_motorAngle_8Amplitude8Phase
evaluate_func_map['evaluate_desired_motorAngle_2Amplitude4Phase'] = evaluate_desired_motorAngle_2Amplitude4Phase
evaluate_func_map['evaluate_desired_motorAngle_hop'] = evaluate_desired_motorAngle_hop
def evaluate_params(evaluateFunc, params, objectiveParams, urdfRoot='', timeStep=0.01, maxNumSteps=1000, sleepTime=0):
print('start evaluation')
beforeTime = time.time()
p.resetSimulation()
p.setTimeStep(timeStep)
p.loadURDF("%s/plane.urdf" % urdfRoot)
p.setGravity(0,0,-10)
global minitaur
minitaur = Minitaur(urdfRoot)
start_position = current_position()
last_position = None # for tracing line
total_energy = 0
for i in range(maxNumSteps):
torques = minitaur.getMotorTorques()
velocities = minitaur.getMotorVelocities()
total_energy += np.dot(np.fabs(torques), np.fabs(velocities)) * timeStep
joint_values = evaluate_func_map[evaluateFunc](i, params)
minitaur.applyAction(joint_values)
p.stepSimulation()
if (is_fallen()):
break
if i % 100 == 0:
sys.stdout.write('.')
sys.stdout.flush()
time.sleep(sleepTime)
print(' ')
alpha = objectiveParams[0]
final_distance = np.linalg.norm(start_position - current_position())
finalReturn = final_distance - alpha * total_energy
elapsedTime = time.time() - beforeTime
print ("trial for ", params, " final_distance", final_distance, "total_energy", total_energy, "finalReturn", finalReturn, "elapsed_time", elapsedTime)
return finalReturn

View File

@@ -1,6 +1,7 @@
import pybullet as p
from minitaur import Minitaur
from minitaur_evaluate import *
import time
import math
import numpy as np
@@ -10,24 +11,13 @@ def main(unused_args):
c = p.connect(p.SHARED_MEMORY)
if (c<0):
c = p.connect(p.GUI)
p.resetSimulation()
p.setTimeStep(timeStep)
p.loadURDF("plane.urdf")
p.setGravity(0,0,-10)
minitaur = Minitaur()
amplitude = 0.24795664427
speed = 0.2860877729434
for i in range(1000):
a1 = math.sin(i*speed)*amplitude+1.57
a2 = math.sin(i*speed+3.14)*amplitude+1.57
joint_values = [a1, -1.57, a1, -1.57, a2, -1.57, a2, -1.57]
minitaur.applyAction(joint_values)
params = [0.1903581461951056, 0.0006732219568880068, 0.05018085615283363, 3.219916795483583, 6.2406418167980595, 4.189869754607539]
evaluate_func = 'evaluate_desired_motorAngle_2Amplitude4Phase'
energy_weight = 0.01
p.stepSimulation()
# print(minitaur.getBasePosition())
time.sleep(timeStep)
final_distance = np.linalg.norm(np.asarray(minitaur.getBasePosition()))
print(final_distance)
finalReturn = evaluate_params(evaluateFunc = evaluate_func, params=params, objectiveParams=[energy_weight], timeStep=timeStep, sleepTime=timeStep)
print(finalReturn)
main(0)

View File

@@ -484,6 +484,22 @@ protected:
return index;
}
int findLinearSearch2(const T& key) const
{
int index=-1;
int i;
for (i=0;i<size();i++)
{
if (m_data[i] == key)
{
index = i;
break;
}
}
return index;
}
void remove(const T& key)
{

View File

@@ -476,6 +476,24 @@ protected:
return index;
}
// If the key is not in the array, return -1 instead of 0,
// since 0 also means the first element in the array.
int findLinearSearch2(const T& key) const
{
int index=-1;
int i;
for (i=0;i<size();i++)
{
if (m_data[i] == key)
{
index = i;
break;
}
}
return index;
}
void removeAtIndex(int index)
{
if (index<size())