Add preliminary PhysX 4.0 backend for PyBullet

Add inverse dynamics / mass matrix code from DeepMimic, thanks to Xue Bin (Jason) Peng
Add example how to use stable PD control for humanoid with spherical joints (see humanoidMotionCapture.py)
Fix related to TinyRenderer object transforms not updating when using collision filtering

examples/pybullet/examples/pdControllerExplicit.py

@@ -1,5 +1,66 @@
 import numpy as np
 
+
+class PDControllerExplicitMultiDof(object):
+		def __init__(self, pb):
+			self._pb = pb
+
+		def computePD(self, bodyUniqueId, jointIndices, desiredPositions, desiredVelocities, kps, kds, maxForces, timeStep):
+			
+			numJoints = len(jointIndices)#self._pb.getNumJoints(bodyUniqueId)
+			curPos,curOrn = self._pb.getBasePositionAndOrientation(bodyUniqueId)
+			q1 = [curPos[0],curPos[1],curPos[2],curOrn[0],curOrn[1],curOrn[2],curOrn[3]]
+			baseLinVel, baseAngVel = self._pb.getBaseVelocity(bodyUniqueId)
+			qdot1 = [baseLinVel[0],baseLinVel[1],baseLinVel[2],baseAngVel[0],baseAngVel[1],baseAngVel[2],0]
+			qError = [0,0,0, 0,0,0,0]
+			qIndex=7
+			qdotIndex=7
+			zeroAccelerations=[0,0,0,  0,0,0,0]
+			for i in range (numJoints):
+				js = self._pb.getJointStateMultiDof(bodyUniqueId, jointIndices[i])
+				
+				jointPos=js[0]
+				jointVel = js[1]
+				q1+=jointPos
+				
+				if len(js[0])==1:
+					desiredPos=desiredPositions[qIndex]
+					
+					qdiff=desiredPos - jointPos[0]
+					qError.append(qdiff)
+					zeroAccelerations.append(0.)
+					qdot1+=jointVel
+					qIndex+=1
+					qdotIndex+=1
+				if len(js[0])==4:
+					desiredPos=[desiredPositions[qIndex],desiredPositions[qIndex+1],desiredPositions[qIndex+2],desiredPositions[qIndex+3]]
+					axis = self._pb.getAxisDifferenceQuaternion(desiredPos,jointPos)
+					jointVelNew = [jointVel[0],jointVel[1],jointVel[2],0]
+					qdot1+=jointVelNew
+					qError.append(axis[0])
+					qError.append(axis[1])
+					qError.append(axis[2])
+					qError.append(0)
+					desiredVel=[desiredVelocities[qdotIndex],desiredVelocities[qdotIndex+1],desiredVelocities[qdotIndex+2]]
+					zeroAccelerations+=[0.,0.,0.,0.]
+					qIndex+=4
+					qdotIndex+=4
+			
+			q = np.array(q1)
+			qdot=np.array(qdot1)
+			qdotdesired = np.array(desiredVelocities)
+			qdoterr = qdotdesired-qdot
+			Kp = np.diagflat(kps)
+			Kd = np.diagflat(kds)
+			p =  Kp.dot(qError)
+			d = Kd.dot(qdoterr)
+			forces = p + d
+			maxF = np.array(maxForces)
+			forces = np.clip(forces, -maxF , maxF )
+			return forces
+
+
+			
 class PDControllerExplicit(object):
 		def __init__(self, pb):
 			self._pb = pb
@@ -25,43 +86,4 @@ class PDControllerExplicit(object):
 			forces = np.clip(forces, -maxF , maxF )
 			return forces
 			
-			
-class PDControllerStable(object):
-		def __init__(self, pb):
-			self._pb = pb
-
-		def computePD(self, bodyUniqueId, jointIndices, desiredPositions, desiredVelocities, kps, kds, maxForces, timeStep):
-			numJoints = self._pb.getNumJoints(bodyUniqueId)
-			jointStates = self._pb.getJointStates(bodyUniqueId, jointIndices)
-			q1 = []
-			qdot1 = []
-			zeroAccelerations = []
-			for i in range (numJoints):
-				q1.append(jointStates[i][0])
-				qdot1.append(jointStates[i][1])
-				zeroAccelerations.append(0)
-			q = np.array(q1)
-			qdot=np.array(qdot1)
-			qdes = np.array(desiredPositions)
-			qdotdes = np.array(desiredVelocities)
-			qError = qdes - q
-			qdotError = qdotdes - qdot
-			Kp = np.diagflat(kps)
-			Kd = np.diagflat(kds)
-			p =  Kp.dot(qError)
-			d = Kd.dot(qdotError)
-			forces = p + d
-			
-			M1 = self._pb.calculateMassMatrix(bodyUniqueId,q1)
-			M2 = np.array(M1)
-			M = (M2 + Kd * timeStep)
-			c1 = self._pb.calculateInverseDynamics(bodyUniqueId, q1, qdot1, zeroAccelerations)
-			c = np.array(c1)
-			A = M
-			b = -c + p + d
-			qddot = np.linalg.solve(A, b)
-			tau = p + d - Kd.dot(qddot) * timeStep
-			maxF = np.array(maxForces)
-			forces = np.clip(tau, -maxF , maxF )
-			#print("c=",c)
-			return tau
+