fix merge forgot to delete files
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@@ -1,139 +0,0 @@
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#! /usr/bin/env python
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import os
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import rospy
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import numpy as np
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import sys
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from naoqi import ALProxy
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import motion
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motionProxy = 0
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def get_transform(joint):
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frame = motion.FRAME_TORSO
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useSensorValues = True
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result = motionProxy.getTransform(joint,frame,useSensorValues)
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result = np.matrix(result)
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print result
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result = np.reshape(result, (4,4))
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print result
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return result
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def cartesian_position(joint):
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print 'function'
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frame = motion.FRAME_TORSO
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useSensorValues = True
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result = motionProxy.getPosition(joint, frame, useSensorValues)
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#print result
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return np.array(result[:3])
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def jacobian():
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# get current positions/ accordint to control figure these values should actually come from the
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# integration step in the previous first control loop
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end_position = cartesian_position('LArm')
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shoulder_position = cartesian_position('LShoulderPitch')
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bicep_position = cartesian_position('LShoulderRoll')
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elbow_position = cartesian_position('LElbowYaw')
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forearm_position = cartesian_position('LElbowRoll')
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# get transformed rotation axes, transformation to torso frame
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x_axis = np.array([[1, 0, 0, 1]]).T
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y_axis = np.array([[0, 1, 0, 1]]).T
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z_axis = np.array([[0, 0, 1, 1]]).T
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shoulder_axis = get_transform('LShoulderPitch').dot(y_axis)
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bicep_axis = get_transform('LShoulderRoll').dot(z_axis)
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elbow_axis = get_transform('LElbowYaw').dot(x_axis)
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forearm_axis = get_transform('LElbowRoll').dot(z_axis)
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# get basis vectors of jacobian
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shoulder_basis = np.cross(shoulder_axis[:3].flatten(), end_position - shoulder_position)
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bicep_basis = np.cross(bicep_axis[:3].flatten(), end_position - bicep_position)
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elbow_basis = np.cross(elbow_axis[:3].flatten(), end_position - elbow_position)
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forearm_basis = np.cross(forearm_axis[:3].flatten(), end_position - forearm_position)
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# build jacobian matrix
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jacobian = np.concatenate([shoulder_basis, bicep_basis, elbow_basis, forearm_basis], axis=0).T
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return jacobian
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def pseudo_inverse(jacobian):
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return np.linalg.pinv(jacobian)
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def reference_generator(p_d)
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# calculate jacobian
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jac_mat = jacobian()
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# use jacobian to compute desired joint speed
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derivative_speed = (p_d - end_position) / 5
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inv_jac = pseudo_inverse(jac_mat)
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angular_velocity = derivative_speed * inv_jac
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# integrate over desired speed to get desired joint position
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names = "LArm"
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useSensors = False
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commandAnglesLArm = motionProxy.getAngles(names, useSensors)
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#names = "RArm"
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#useSensors = False
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#commandAngles = motionProxy.getAngles(names, useSensors)
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goal_angleL = commandAnglesLArm + (angular_velocity * 5)
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# return desired joint position and speed
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return goal_angleL, commandAnglesLArm
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def movement(e)
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# scale joint states with matrix K
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# add desired joint speed
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# move robot arm
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return
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if __name__ == '__main__':
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motionProxy = ALProxy("ALMotion", os.environ['NAO_IP'], 9559)
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jacob = jacobian()
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print jacob
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jacob = pseudo_inverse(jacob)
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print(jacob)
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# given new desired coordinates
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e = 1;
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"""
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while e bigger some value
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# run reference generator to get desired joint postion and speed
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# subtract current joint states
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# movement
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"""
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#rospy.init_node('cartesian_controller')
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#rospy.spin()
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@@ -1,61 +0,0 @@
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#include <Vector3.h>
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using namespace std;
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// Calculate the Jacobian Matrix for the NAO
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// inputs: original angles tau1 - tau4 and new angles tau1' - tau4'
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// original endeffector position e1 - e4 and new endeffector position e1' - e4'
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typedef struct position{
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float x;
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float y;
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float z;
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}position;
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typedef struct angles{
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float tau_1;
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float tau_2;
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float tau_3;
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float tau_4;
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}angles;
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angles a_end, a, a_diff;
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position e_end, e, e_diff;
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e_diff = diff(e_end, e);
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a_diff = diff(a_end, a);
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vector<float> postion_vec;
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postion_vec.vector::push_back(e_diff.x);
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postion_vec.vector::push_back(e_diff.y);
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postion_vec.vector::push_back(e_diff.z);
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vector<float> angles_vec;
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angles_vec.vector::push_back(a_diff.tau_1);
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angles_vec.vector::push_back(a_diff.tau_2);
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angles_vec.vector::push_back(a_diff.tau_3);
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angles_vec.vector::push_back(a_diff.tau_4);s
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vector<vector<float>> Jacobian;
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for (int i = 0; i<3; i++) {
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for(int j = 0; j<4; j++ ) {
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Jacobian[i][j] = postion_vec[i]/angles_vec[j];
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}
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}
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position diff(position end, position actual){
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position temp;
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temp.x = end.x - actual.x;
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temp.y = end.y - actual.y;
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temp.z = end.z - actual.z;
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return temp;
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}
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angles diff(angles end, angles actual){
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angles temp;
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temp.tau_1 = end.tau_1 - actual.tau_1;
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temp.tau_2 = end.tau_2 - actual.tau_2;
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temp.tau_3 = end.tau_3 - actual.tau_3;
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temp.tau_4 = end.tau_4 - actual.tau_4;
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return temp;
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}
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