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import pybullet as p
import time
import math
from datetime import datetime
from datetime import datetime
clid = p.connect(p.SHARED_MEMORY)
if (clid < 0):
p.connect(p.GUI)
p.loadURDF("plane.urdf", [0, 0, -0.3])
husky = p.loadURDF("husky/husky.urdf", [0.290388, 0.329902, -0.310270],
[0.002328, -0.000984, 0.996491, 0.083659])
for i in range(p.getNumJoints(husky)):
print(p.getJointInfo(husky, i))
kukaId = p.loadURDF("kuka_iiwa/model_free_base.urdf", 0.193749, 0.345564, 0.120208, 0.002327,
-0.000988, 0.996491, 0.083659)
ob = kukaId
jointPositions = [3.559609, 0.411182, 0.862129, 1.744441, 0.077299, -1.129685, 0.006001]
for jointIndex in range(p.getNumJoints(ob)):
p.resetJointState(ob, jointIndex, jointPositions[jointIndex])
#put kuka on top of husky
cid = p.createConstraint(husky, -1, kukaId, -1, p.JOINT_FIXED, [0, 0, 0], [0, 0, 0], [0., 0., -.5],
[0, 0, 0, 1])
baseorn = p.getQuaternionFromEuler([3.1415, 0, 0.3])
baseorn = [0, 0, 0, 1]
#[0, 0, 0.707, 0.707]
#p.resetBasePositionAndOrientation(kukaId,[0,0,0],baseorn)#[0,0,0,1])
kukaEndEffectorIndex = 6
numJoints = p.getNumJoints(kukaId)
if (numJoints != 7):
exit()
#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
useOrientation = 0
#If we set useSimulation=0, it sets the arm pose to be the IK result directly without using dynamic control.
#This can be used to test the IK result accuracy.
useSimulation = 0
useRealTimeSimulation = 1
p.setRealTimeSimulation(useRealTimeSimulation)
#trailDuration is duration (in seconds) after debug lines will be removed automatically
#use 0 for no-removal
trailDuration = 15
basepos = [0, 0, 0]
ang = 0
ang = 0
def accurateCalculateInverseKinematics(kukaId, endEffectorId, targetPos, threshold, maxIter):
closeEnough = False
iter = 0
dist2 = 1e30
while (not closeEnough and iter < maxIter):
jointPoses = p.calculateInverseKinematics(kukaId, kukaEndEffectorIndex, targetPos)
for i in range(numJoints):
p.resetJointState(kukaId, i, jointPoses[i])
ls = p.getLinkState(kukaId, kukaEndEffectorIndex)
newPos = ls[4]
diff = [targetPos[0] - newPos[0], targetPos[1] - newPos[1], targetPos[2] - newPos[2]]
dist2 = (diff[0] * diff[0] + diff[1] * diff[1] + diff[2] * diff[2])
closeEnough = (dist2 < threshold)
iter = iter + 1
#print ("Num iter: "+str(iter) + "threshold: "+str(dist2))
return jointPoses
wheels = [2, 3, 4, 5]
#(2, b'front_left_wheel', 0, 7, 6, 1, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, b'front_left_wheel_link')
#(3, b'front_right_wheel', 0, 8, 7, 1, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, b'front_right_wheel_link')
#(4, b'rear_left_wheel', 0, 9, 8, 1, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, b'rear_left_wheel_link')
#(5, b'rear_right_wheel', 0, 10, 9, 1, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, b'rear_right_wheel_link')
wheelVelocities = [0, 0, 0, 0]
wheelDeltasTurn = [1, -1, 1, -1]
wheelDeltasFwd = [1, 1, 1, 1]
while 1:
keys = p.getKeyboardEvents()
shift = 0.01
wheelVelocities = [0, 0, 0, 0]
speed = 1.0
for k in keys:
if ord('s') in keys:
p.saveWorld("state.py")
if ord('a') in keys:
basepos = basepos = [basepos[0], basepos[1] - shift, basepos[2]]
if ord('d') in keys:
basepos = basepos = [basepos[0], basepos[1] + shift, basepos[2]]
if p.B3G_LEFT_ARROW in keys:
for i in range(len(wheels)):
wheelVelocities[i] = wheelVelocities[i] - speed * wheelDeltasTurn[i]
if p.B3G_RIGHT_ARROW in keys:
for i in range(len(wheels)):
wheelVelocities[i] = wheelVelocities[i] + speed * wheelDeltasTurn[i]
if p.B3G_UP_ARROW in keys:
for i in range(len(wheels)):
wheelVelocities[i] = wheelVelocities[i] + speed * wheelDeltasFwd[i]
if p.B3G_DOWN_ARROW in keys:
for i in range(len(wheels)):
wheelVelocities[i] = wheelVelocities[i] - speed * wheelDeltasFwd[i]
baseorn = p.getQuaternionFromEuler([0, 0, ang])
for i in range(len(wheels)):
p.setJointMotorControl2(husky,
wheels[i],
p.VELOCITY_CONTROL,
targetVelocity=wheelVelocities[i],
force=1000)
#p.resetBasePositionAndOrientation(kukaId,basepos,baseorn)#[0,0,0,1])
if (useRealTimeSimulation):
t = time.time() #(dt, micro) = datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S.%f').split('.')
#t = (dt.second/60.)*2.*math.pi
else:
t = t + 0.001
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)]
pos = [0.2 * math.cos(t), 0, 0. + 0.2 * math.sin(t) + 0.7]
#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:
threshold = 0.001
maxIter = 100
jointPoses = accurateCalculateInverseKinematics(kukaId, kukaEndEffectorIndex, pos,
threshold, maxIter)
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=1,
velocityGain=0.1)
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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