Exemplo n.º 1
0
    def desired_pose_vals(self, left_shoulder, left_elbow, left_hand,
                          right_shoulder, right_elbow, right_hand, torso):
        """
        Returns the pose values based on the human skeleton. Similar to
        desired_joint_vals. Currently not working as ideal.
        """
        rospy.logdebug("Calling Crane().desired_pose_vals(...)")
        # Use length of arms to potentially calculate a useful scaling
        arm_length = (math.sqrt(math.pow((left_shoulder.x - left_elbow.x),2) +
                                math.pow((left_shoulder.y - left_elbow.y),2) +
                                math.pow((left_shoulder.z - left_elbow.z),2)) +
                        math.sqrt(math.pow((left_elbow.x - left_hand.x),2) +
                                math.pow((left_elbow.y - left_hand.y),2) +
                                math.pow((left_elbow.z - left_hand.z),2)))
        RJ_ARM_LENGTH = 41*2.54/100.0
        #From URDF, offsets from base/torso to right_uper_shoulder.
        # x_offset = 0.062
        # y_offset = -0.259
        # z_offset = 0.120

        # Baxter: x out, y left, z up from his perspective
        # Kinect: x right, y down, z out from its perspective
        # Best ones so far!
        # x = (-left_hand.z + torso.z)
        # y = (-torso.x + left_hand.x)
        # z = (-torso.y + left_hand.y)
        # x = (-left_hand.z + left_shoulder.z)*RJ_ARM_LENGTH/arm_length + x_offset
        # y = (left_hand.x - left_shoulder.x)*RJ_ARM_LENGTH/arm_length + y_offset
        # z = (-left_hand.y + left_shoulder.y)*RJ_ARM_LENGTH/arm_length + z_offset

        # scaling = RJ_ARM_LENGTH/arm_length
        scaling = 1.0
        # Introduce a small offset
        x = (torso.z - left_hand.z)*scaling + 0.2
        y = (left_hand.x - torso.x)*scaling
        z = (torso.y - left_hand.y)*scaling - 0.3
        # print "x: ", x
        # print "y: ", y
        # print "z: ", z
        # print self.arm.endpoint_pose()

        # Set orientation
        roll = 0 # Could be defined to be in line with the arm or something
        pitch = math.pi # Could be defined to be in line with the arm or something
        yaw = 0
        pose = {'x': x, 'y': y, 'z': z, 'roll': roll, 'pitch': pitch, 'yaw': yaw}

        # Gripper Control Arm
        r_upper_arm = make_vector_from_POINTS(right_shoulder, right_elbow)
        r_forearm = make_vector_from_POINTS(right_elbow, right_hand)
        # Event
        theta = angle_between_vectors(r_upper_arm, r_forearm)
        if theta > 0.8:
            self.gripper.close()
        else:
            self.gripper.open()

        return pose
Exemplo n.º 2
0
    def human_to_baxter(self, l_sh, l_el, l_ha, r_sh, r_el, r_ha, a):
        """
        Computes angles sent to Baxter's arm, checks if gripper should adjust
        """
        rospy.logdebug("Calling Crane().human_to_baxter(...)")
        # Crane Arm
        # Forms vectors between points in 3-space and uses that and
        # vector operations to calculate the angles.
        l_upper_arm = make_vector_from_POINTS(l_sh, l_el)
        l_forearm = make_vector_from_POINTS(l_el, l_ha)
        # S0
        v_xz = vector_projection_onto_plane(l_upper_arm, [0, 0, -1],
                                            [-1, 0, 0])
        theta = angle_between_vectors(v_xz, [-1, 0, 0])
        s0 = theta - math.pi / 4
        # S1
        theta = angle_between_vectors(l_upper_arm, v_xz)
        if l_el.y > l_sh.y:
            s1 = theta
        else:
            s1 = -theta
        # E0
        n_upper_arm = shortest_vector_from_point_to_vector(
            l_ha, l_upper_arm, l_forearm, l_sh)
        theta = angle_between_vectors(n_upper_arm, [0, 1, 0])
        e0 = theta
        # E1
        theta = angle_between_vectors(l_upper_arm, l_forearm)
        e1 = theta
        # W0, W1, and W2
        w0 = -1.57
        w1 = 0.00
        w2 = -0.30
        # Check if angles are valid
        self.check_angles(s0, s1, e0, e1, w0, w1, w2, a)

        # Gripper Control Arm
        r_upper_arm = make_vector_from_POINTS(r_sh, r_el)
        r_forearm = make_vector_from_POINTS(r_el, r_ha)
        # Event
        theta = angle_between_vectors(r_upper_arm, r_forearm)
        if theta > 0.8:
            return True
        return False
Exemplo n.º 3
0
    def human_to_baxter(self, l_sh, l_el, l_ha, r_sh, r_el, r_ha, a):
        """
        Computes angles sent to Baxter's arm, checks if gripper should adjust
        """
        rospy.logdebug("Calling Crane().human_to_baxter(...)")
        # Crane Arm
        # Forms vectors between points in 3-space and uses that and
        # vector operations to calculate the angles.
        l_upper_arm = make_vector_from_POINTS(l_sh, l_el)
        l_forearm = make_vector_from_POINTS(l_el, l_ha)
        # S0
        v_xz = vector_projection_onto_plane(l_upper_arm, [0,0,-1], [-1,0,0])
        theta = angle_between_vectors(v_xz, [-1,0,0])
        s0 = theta - math.pi/4
        # S1
        theta = angle_between_vectors(l_upper_arm, v_xz)
        if l_el.y > l_sh.y:
            s1 = theta
        else:
            s1 = -theta
        # E0
        n_upper_arm = shortest_vector_from_point_to_vector(l_ha, l_upper_arm,
                                                           l_forearm, l_sh)
        theta = angle_between_vectors(n_upper_arm, [0,1,0])
        e0 = theta
        # E1
        theta = angle_between_vectors(l_upper_arm, l_forearm)
        e1 = theta
        # W0, W1, and W2
        w0 = -1.57
        w1 = 0.00
        w2 = -0.30
        # Check if angles are valid
        self.check_angles(s0,s1,e0,e1,w0,w1,w2,a)

        # Gripper Control Arm
        r_upper_arm = make_vector_from_POINTS(r_sh, r_el)
        r_forearm = make_vector_from_POINTS(r_el, r_ha)
        # Event
        theta = angle_between_vectors(r_upper_arm, r_forearm)
        if theta > 0.8:
            return True
        return False
Exemplo n.º 4
0
    def desired_pose_vals(self, left_shoulder, left_elbow, left_hand,
                          right_shoulder, right_elbow, right_hand, torso):
        # Find distance from shoulder to hand for human
        # Total arm length:
        arm_length = (math.sqrt(
            math.pow((left_shoulder.x - left_elbow.x), 2) +
            math.pow((left_shoulder.y - left_elbow.y), 2) +
            math.pow((left_shoulder.z - left_elbow.z), 2)) + math.sqrt(
                math.pow((left_elbow.x - left_hand.x), 2) +
                math.pow((left_elbow.y - left_hand.y), 2) +
                math.pow((left_elbow.z - left_hand.z), 2)))
        RJ_ARM_LENGTH = 41 * 2.54 / 100.0
        #From URDF,
        x_offset = 0.055695
        y_offset = 0
        z_offset = 0.011038
        # Use left values
        x = (left_hand.x - left_shoulder.x -
             torso.x) * RJ_ARM_LENGTH / arm_length + x_offset
        y = (left_hand.y - left_shoulder.y -
             torso.y) * RJ_ARM_LENGTH / arm_length + y_offset
        z = (left_hand.z - left_shoulder.z -
             torso.z) * RJ_ARM_LENGTH / arm_length + z_offset

        # Set orientation
        roll = 0  # Could be defined to be in line with the arm or something
        pitch = math.pi / 2.0  # Could be defined to be in line with the arm or something
        yaw = 0
        pose = {
            'x': x,
            'y': y,
            'z': z,
            'roll': roll,
            'pitch': pitch,
            'yaw': yaw
        }

        # Gripper Control Arm
        r_upper_arm = make_vector_from_POINTS(right_shoulder, right_elbow)
        r_forearm = make_vector_from_POINTS(right_elbow, right_hand)
        # Event
        theta = angle_between_vectors(r_upper_arm, r_forearm)
        if theta > 0.8:
            self.gripper.close()
        else:
            self.gripper.open()

        return pose
Exemplo n.º 5
0
    def desired_pose_vals(self, left_shoulder, left_elbow, left_hand,
                          right_shoulder, right_elbow, right_hand, torso):
        # Find distance from shoulder to hand for human
        # Total arm length:
        arm_length = (math.sqrt(math.pow((left_shoulder.x - left_elbow.x),2) +
                                math.pow((left_shoulder.y - left_elbow.y),2) +
                                math.pow((left_shoulder.z - left_elbow.z),2)) +
                        math.sqrt(math.pow((left_elbow.x - left_hand.x),2) +
                                math.pow((left_elbow.y - left_hand.y),2) +
                                math.pow((left_elbow.z - left_hand.z),2)))
        RJ_ARM_LENGTH = 41*2.54/100.0
        #From URDF,
        x_offset = 0.055695
        y_offset = 0
        z_offset = 0.011038
        # Use left values
        x = (left_hand.x - left_shoulder.x - torso.x)*RJ_ARM_LENGTH/arm_length + x_offset
        y = (left_hand.y - left_shoulder.y - torso.y)*RJ_ARM_LENGTH/arm_length + y_offset
        z = (left_hand.z - left_shoulder.z - torso.z)*RJ_ARM_LENGTH/arm_length + z_offset

        # Set orientation
        roll = 0 # Could be defined to be in line with the arm or something
        pitch = math.pi/2.0 # Could be defined to be in line with the arm or something
        yaw = 0
        pose = {'x': x, 'y': y, 'z': z, 'roll': roll, 'pitch': pitch, 'yaw': yaw}

        # Gripper Control Arm
        r_upper_arm = make_vector_from_POINTS(right_shoulder, right_elbow)
        r_forearm = make_vector_from_POINTS(right_elbow, right_hand)
        # Event
        theta = angle_between_vectors(r_upper_arm, r_forearm)
        if theta > 0.8:
            self.gripper.close()
        else:
            self.gripper.open()

        return pose
Exemplo n.º 6
0
    def human_to_baxter(self, l_sh, l_el, l_ha, r_sh, r_el, r_ha, a):
        """
        Determines how to move Baxter's limbs in order to mimic user
        """

        for arm in ['left', 'right']:
            if arm=='left':
                sh = l_sh
                el = l_el
                ha = l_ha
            elif arm=='right':
                sh = r_sh
                el = r_el
                ha = r_ha

            upper_arm = make_vector_from_POINTS(sh, el)
            forearm = make_vector_from_POINTS(el, ha)

            # E0 computations
            n_upper_arm = shortest_vector_from_point_to_vector(ha, upper_arm,
                                                               forearm, sh)
            theta = angle_between_vectors(n_upper_arm, [0,1,0])
            e0 = theta
            # E1 computations
            theta = angle_between_vectors(upper_arm, forearm)
            e1 = theta
            # W0, W1, and W2 computations
            w0 = 0.00
            w1 = 0.00
            w2 = 0.00

            if arm=='left':
                # S0 computations
                v_xz = vector_projection_onto_plane(upper_arm, [0,0,-1], [-1,0,0])
                theta = angle_between_vectors(v_xz, [-1,0,0])
                s0 = theta - math.pi/4
                # S1 computations
                theta = angle_between_vectors(upper_arm, v_xz)
                if el.y > sh.y:
                    s1 = theta
                else:
                    s1 = -theta
                angles = a['right']
                # Assume moveit will avoid wall
                # angles.append(s0)
                # s0 assignment in safe range
                if -0.25 < s0 and s0 < 1.60:
                    angles.append(s0)
                elif -0.25 < s0:
                    angles.append(1.60)
                else:
                    angles.append(-0.25)


            elif arm=='right':
                # S0 computations
                v_xz = vector_projection_onto_plane(upper_arm, [0,0,-1], [1,0,0])
                theta = angle_between_vectors(v_xz, [-1,0,0])
                s0 = theta - 3*math.pi/4
                # S1 computations
                theta = angle_between_vectors(upper_arm, v_xz)
                if el.y > sh.y:
                    s1 = theta
                else:
                    s1 = -theta
                e0 = -e0
                w0 = -w0
                w2 = -w2
                angles = a['left']
                # Assume moveit will avoid walls
                # angles.append(s0)
                # s0 assignment in safe range
                if -1.60 < s0 and s0 < 0.25:
                    angles.append(s0)
                elif -1.60 < s0:
                    angles.append(0.25)
                else:
                    angles.append(-1.60)

            # s1 assignment in safe range
            if -2.00 < s1 and s1 < 0.90:
                angles.append(s1)
            elif -2.00 < s1:
                angles.append(0.90)
            else:
                angles.append(-2.00)

            # e0 assignment
            angles.append(e0)

            # e1 assignment in safe range
            if 0.10 < e1 and e1 < 2.50:
                angles.append(e1)
            elif 0.10 < e1:
                angles.append(2.50)
            else:
                angles.append(0.10)

            # w0, w1, and w2 assignment
            angles.extend([w0,w1,w2])

        return
Exemplo n.º 7
0
    def desired_pose_vals(self, left_shoulder, left_elbow, left_hand,
                          right_shoulder, right_elbow, right_hand, torso):
        """
        Returns the pose values based on the human skeleton. Similar to
        desired_joint_vals. Currently not working as ideal.
        """
        rospy.logdebug("Calling Crane().desired_pose_vals(...)")
        # Use length of arms to potentially calculate a useful scaling
        arm_length = (math.sqrt(
            math.pow((left_shoulder.x - left_elbow.x), 2) +
            math.pow((left_shoulder.y - left_elbow.y), 2) +
            math.pow((left_shoulder.z - left_elbow.z), 2)) + math.sqrt(
                math.pow((left_elbow.x - left_hand.x), 2) +
                math.pow((left_elbow.y - left_hand.y), 2) +
                math.pow((left_elbow.z - left_hand.z), 2)))
        RJ_ARM_LENGTH = 41 * 2.54 / 100.0
        #From URDF, offsets from base/torso to right_uper_shoulder.
        # x_offset = 0.062
        # y_offset = -0.259
        # z_offset = 0.120

        # Baxter: x out, y left, z up from his perspective
        # Kinect: x right, y down, z out from its perspective
        # Best ones so far!
        # x = (-left_hand.z + torso.z)
        # y = (-torso.x + left_hand.x)
        # z = (-torso.y + left_hand.y)
        # x = (-left_hand.z + left_shoulder.z)*RJ_ARM_LENGTH/arm_length + x_offset
        # y = (left_hand.x - left_shoulder.x)*RJ_ARM_LENGTH/arm_length + y_offset
        # z = (-left_hand.y + left_shoulder.y)*RJ_ARM_LENGTH/arm_length + z_offset

        # scaling = RJ_ARM_LENGTH/arm_length
        scaling = 1.0
        # Introduce a small offset
        x = (torso.z - left_hand.z) * scaling + 0.2
        y = (left_hand.x - torso.x) * scaling
        z = (torso.y - left_hand.y) * scaling - 0.3
        # print "x: ", x
        # print "y: ", y
        # print "z: ", z
        # print self.arm.endpoint_pose()

        # Set orientation
        roll = 0  # Could be defined to be in line with the arm or something
        pitch = math.pi  # Could be defined to be in line with the arm or something
        yaw = 0
        pose = {
            'x': x,
            'y': y,
            'z': z,
            'roll': roll,
            'pitch': pitch,
            'yaw': yaw
        }

        # Gripper Control Arm
        r_upper_arm = make_vector_from_POINTS(right_shoulder, right_elbow)
        r_forearm = make_vector_from_POINTS(right_elbow, right_hand)
        # Event
        theta = angle_between_vectors(r_upper_arm, r_forearm)
        if theta > 0.8:
            self.gripper.close()
        else:
            self.gripper.open()

        return pose