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@@ -3,14 +3,19 @@ from mathutils import fit_gaussian, Gaussian
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SINGLE_PASS = False
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if SINGLE_PASS:
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STEP_SIZE = 0.5
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STEP_SIZE = 0.2
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else:
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STEP_SIZE = 1.0
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STEP_Z_FINAL = 0.1
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RANGE = [-5.0, 5.0]
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LATENCY = 0.005
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Z_FINAL_OFFSET = 0.0
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robot.enable()
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move_to_laser()
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#move_to_laser()
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step_x = STEP_SIZE
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step_z = STEP_SIZE
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@@ -22,7 +27,7 @@ current_x = robot_x.getPosition()
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current_z = robot_z.getPosition()
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print "Current pos x,z" , current_x, ",", current_z
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ret = ascan([robot_x, robot_z], ue.readable, [range_x[0], range_z[0]], [range_x[1], range_z[1]], [step_x,step_z], latency = LATENCY, relative = True , zigzag=False)
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ret = ascan([robot_x, robot_z], ue.readable, [range_x[0], range_z[0]], [range_x[1], range_z[1]], [step_x,step_z], latency = LATENCY, relative = True , zigzag=False, title = "2d Scan")
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data = ret.getData(0)[0]
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#plot(Convert.transpose(data), title="Data")
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@@ -35,8 +40,12 @@ p = plot(integ, title = "Fit", xdata=xdata)[0]
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max_x_index = integ.index(max(integ))
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max_x = xdata[max_x_index]
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(normalization, mean_val, sigma) = fit_gaussian(integ, xdata)
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try:
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(normalization, mean_val, sigma) = fit_gaussian(integ, xdata)
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except:
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raise Exception("Invalid Fit")
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gaussian = Gaussian(normalization, mean_val, sigma)
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xdata= frange(range_x[0], range_x[1], step_x/100.0 , False, True)
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plot_function(p, gaussian, "Fit", xdata, show_points = False, show_lines = True, color = Color.BLUE)
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#So
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@@ -47,12 +56,11 @@ center_x = current_x + x_offset
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print "X offset = ", x_offset
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robot_x.move(center_x)
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if SINGLE_PASS:
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z_scan_data = data[max_x_index]
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else:
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robot_x.move(center_x)
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step_z = step_z/4.0
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else:
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step_z = STEP_Z_FINAL
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ret2 = lscan(robot_z, ue.readable, range_z[0], range_z[1], step_z, latency = LATENCY, relative = True , zigzag=False)
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z_scan_data = ret2.getData(0)[0]
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@@ -70,7 +78,9 @@ if SINGLE_PASS:
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else:
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max_z = ret2.getPositions(0)[last_z_index]
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z_offset = max_z-current_z
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z_offset = max_z - current_z + Z_FINAL_OFFSET
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robot_z.move(max_z + Z_FINAL_OFFSET)
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print "Z offset = ", z_offset
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@@ -2,41 +2,59 @@ import plotutils
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from mathutils import fit_gaussian, Gaussian
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robot.enable()
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move_to_laser()
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robot.assert_tool(TOOL_CALIBRATION)
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robot.set_motors_enabled(True)
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robot.set_joint_motors_enabled(True)
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initial_pos = robot.get_cartesian_pos()
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robot.enable()
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move_to_laser()
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robot.align()
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run("calibration/ScanXZ")
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robot.set_motors_enabled(True)
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robot_x.moveRel(x_offset)
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robot_z.moveRel(z_offset)
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initial_x = robot_x.take()
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initial_z = robot_z.take()
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initial_y = ue.take()
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if initial_y is None:
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raise Exception("Invalid XZ scan values")
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first_x = robot_x.take()
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first_z = robot_z.take()
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first_y = ue.take()
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first_j6 = robot_j6.take()
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if first_y is None:
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raise Exception("Invalid XZ scan values in first scan")
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robot.set_joint_motors_enabled(True)
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if first_j6>0:
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robot_j6.moveRel(-180.0, -1)
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else:
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robot_j6.moveRel(180.0, -1)
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robot.set_motors_enabled(True)
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run("calibration/ScanXZ")
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robot.set_motors_enabled(True)
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second_x = robot_x.take()
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second_z = robot_z.take()
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second_y = ue.take()
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second_j6 = robot_j6.take()
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if second_y is None:
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raise Exception("Invalid XZ scan values in first scan")
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#Updates the tool
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xoff = (first_x - second_x)/2
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yoff = (first_y - second_y)/2
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robot.get_tool_trsf(robot.tool)
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t[0]=xoff #TODO: Why signal?
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t[1]=-yoff #TODO: Why signal?
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robot.set_tool_trsf(t, robot.tool)
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#update_tool(None, x_offset=x_offset, z_offset=z_offset)
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current_x = robot_x.getPosition()
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current_y = robot_x.getPosition()
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current_z = robot_z.getPosition()
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#Updating tool:
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#update_tool(None, x_offset=x_offset, z_offset=z_offset)
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