add yapf style and apply yapf to format all Python files
This recreates pull request #2192
This commit is contained in:
@@ -2,88 +2,97 @@ import numpy as np
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class PDControllerExplicitMultiDof(object):
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def __init__(self, pb):
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self._pb = pb
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def computePD(self, bodyUniqueId, jointIndices, desiredPositions, desiredVelocities, kps, kds, maxForces, timeStep):
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numJoints = len(jointIndices)#self._pb.getNumJoints(bodyUniqueId)
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curPos,curOrn = self._pb.getBasePositionAndOrientation(bodyUniqueId)
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q1 = [curPos[0],curPos[1],curPos[2],curOrn[0],curOrn[1],curOrn[2],curOrn[3]]
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baseLinVel, baseAngVel = self._pb.getBaseVelocity(bodyUniqueId)
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qdot1 = [baseLinVel[0],baseLinVel[1],baseLinVel[2],baseAngVel[0],baseAngVel[1],baseAngVel[2],0]
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qError = [0,0,0, 0,0,0,0]
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qIndex=7
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qdotIndex=7
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zeroAccelerations=[0,0,0, 0,0,0,0]
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for i in range (numJoints):
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js = self._pb.getJointStateMultiDof(bodyUniqueId, jointIndices[i])
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jointPos=js[0]
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jointVel = js[1]
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q1+=jointPos
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if len(js[0])==1:
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desiredPos=desiredPositions[qIndex]
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qdiff=desiredPos - jointPos[0]
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qError.append(qdiff)
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zeroAccelerations.append(0.)
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qdot1+=jointVel
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qIndex+=1
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qdotIndex+=1
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if len(js[0])==4:
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desiredPos=[desiredPositions[qIndex],desiredPositions[qIndex+1],desiredPositions[qIndex+2],desiredPositions[qIndex+3]]
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axis = self._pb.getAxisDifferenceQuaternion(desiredPos,jointPos)
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jointVelNew = [jointVel[0],jointVel[1],jointVel[2],0]
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qdot1+=jointVelNew
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qError.append(axis[0])
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qError.append(axis[1])
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qError.append(axis[2])
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qError.append(0)
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desiredVel=[desiredVelocities[qdotIndex],desiredVelocities[qdotIndex+1],desiredVelocities[qdotIndex+2]]
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zeroAccelerations+=[0.,0.,0.,0.]
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qIndex+=4
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qdotIndex+=4
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q = np.array(q1)
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qdot=np.array(qdot1)
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qdotdesired = np.array(desiredVelocities)
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qdoterr = qdotdesired-qdot
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Kp = np.diagflat(kps)
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Kd = np.diagflat(kds)
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p = Kp.dot(qError)
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d = Kd.dot(qdoterr)
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forces = p + d
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maxF = np.array(maxForces)
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forces = np.clip(forces, -maxF , maxF )
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return forces
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def __init__(self, pb):
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self._pb = pb
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def computePD(self, bodyUniqueId, jointIndices, desiredPositions, desiredVelocities, kps, kds,
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maxForces, timeStep):
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numJoints = len(jointIndices) #self._pb.getNumJoints(bodyUniqueId)
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curPos, curOrn = self._pb.getBasePositionAndOrientation(bodyUniqueId)
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q1 = [curPos[0], curPos[1], curPos[2], curOrn[0], curOrn[1], curOrn[2], curOrn[3]]
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baseLinVel, baseAngVel = self._pb.getBaseVelocity(bodyUniqueId)
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qdot1 = [
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baseLinVel[0], baseLinVel[1], baseLinVel[2], baseAngVel[0], baseAngVel[1], baseAngVel[2], 0
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]
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qError = [0, 0, 0, 0, 0, 0, 0]
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qIndex = 7
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qdotIndex = 7
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zeroAccelerations = [0, 0, 0, 0, 0, 0, 0]
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for i in range(numJoints):
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js = self._pb.getJointStateMultiDof(bodyUniqueId, jointIndices[i])
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jointPos = js[0]
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jointVel = js[1]
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q1 += jointPos
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if len(js[0]) == 1:
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desiredPos = desiredPositions[qIndex]
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qdiff = desiredPos - jointPos[0]
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qError.append(qdiff)
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zeroAccelerations.append(0.)
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qdot1 += jointVel
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qIndex += 1
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qdotIndex += 1
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if len(js[0]) == 4:
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desiredPos = [
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desiredPositions[qIndex], desiredPositions[qIndex + 1], desiredPositions[qIndex + 2],
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desiredPositions[qIndex + 3]
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]
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axis = self._pb.getAxisDifferenceQuaternion(desiredPos, jointPos)
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jointVelNew = [jointVel[0], jointVel[1], jointVel[2], 0]
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qdot1 += jointVelNew
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qError.append(axis[0])
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qError.append(axis[1])
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qError.append(axis[2])
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qError.append(0)
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desiredVel = [
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desiredVelocities[qdotIndex], desiredVelocities[qdotIndex + 1],
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desiredVelocities[qdotIndex + 2]
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]
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zeroAccelerations += [0., 0., 0., 0.]
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qIndex += 4
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qdotIndex += 4
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q = np.array(q1)
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qdot = np.array(qdot1)
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qdotdesired = np.array(desiredVelocities)
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qdoterr = qdotdesired - qdot
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Kp = np.diagflat(kps)
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Kd = np.diagflat(kds)
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p = Kp.dot(qError)
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d = Kd.dot(qdoterr)
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forces = p + d
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maxF = np.array(maxForces)
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forces = np.clip(forces, -maxF, maxF)
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return forces
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class PDControllerExplicit(object):
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def __init__(self, pb):
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self._pb = pb
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def computePD(self, bodyUniqueId, jointIndices, desiredPositions, desiredVelocities, kps, kds, maxForces, timeStep):
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numJoints = self._pb.getNumJoints(bodyUniqueId)
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jointStates = self._pb.getJointStates(bodyUniqueId, jointIndices)
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q1 = []
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qdot1 = []
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for i in range (numJoints):
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q1.append(jointStates[i][0])
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qdot1.append(jointStates[i][1])
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q = np.array(q1)
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qdot=np.array(qdot1)
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qdes = np.array(desiredPositions)
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qdotdes = np.array(desiredVelocities)
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qError = qdes - q
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qdotError = qdotdes - qdot
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Kp = np.diagflat(kps)
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Kd = np.diagflat(kds)
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forces = Kp.dot(qError) + Kd.dot(qdotError)
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maxF = np.array(maxForces)
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forces = np.clip(forces, -maxF , maxF )
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return forces
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def __init__(self, pb):
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self._pb = pb
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def computePD(self, bodyUniqueId, jointIndices, desiredPositions, desiredVelocities, kps, kds,
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maxForces, timeStep):
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numJoints = self._pb.getNumJoints(bodyUniqueId)
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jointStates = self._pb.getJointStates(bodyUniqueId, jointIndices)
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q1 = []
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qdot1 = []
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for i in range(numJoints):
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q1.append(jointStates[i][0])
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qdot1.append(jointStates[i][1])
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q = np.array(q1)
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qdot = np.array(qdot1)
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qdes = np.array(desiredPositions)
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qdotdes = np.array(desiredVelocities)
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qError = qdes - q
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qdotError = qdotdes - qdot
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Kp = np.diagflat(kps)
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Kd = np.diagflat(kds)
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forces = Kp.dot(qError) + Kd.dot(qdotError)
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maxF = np.array(maxForces)
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forces = np.clip(forces, -maxF, maxF)
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return forces
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