Blockly is a ROS package that provides web-based visualization and block programming tools for robots and drones.
This block uses position values returned by hector_mapping node (part of hector_slam), that means you will need a laser to use this block.
Simply add you laser initialization block followed by the SLAM initialization one and you will be able to use 'Walk n meters' block.
The following code reads the pose from 'slam_out_pose' topic generated by hector_mapping node and calculates the distance between the current position and the initial.
Each iteration new position values are read and the new distance is computed. In order to calculate the distance between 2 points in 3 dimensional space, the following function is used: d=srqt((x2-x1)^2+(y2-y1)^2+(z2-z1)^2)
Once the desired distance is reached the spider is stopped.
imports ... from sensor_msgs.msg import Joy from geometry_msgs.msg import PoseStamped pub = rospy.Publisher('/joy', Joy, queue_size=10) msg = Joy() rate = rospy.Rate(10) valueAxe = 0.0 valueButton = 0 for i in range (0, 20): msg.axes.append(valueAxe) for e in range (0, 17): msg.buttons.append(valueButton) poseStamped = rospy.wait_for_message('/slam_out_pose', PoseStamped, timeout=10) start_x = poseStamped.pose.position.x start_y = poseStamped.pose.position.y start_z = poseStamped.pose.position.z if "forward" is dropdown_direction: msg.axes = 1 elif "backwards" is dropdown_direction: msg.axes = -1 elif "left" is dropdown_direction: msg.axes = 1 elif "right" is dropdown_direction: msg.axes = -1 bo=True while not rospy.is_shutdown() and bo: poseStamped = rospy.wait_for_message('/slam_out_pose', PoseStamped, timeout=3) current_x = poseStamped.pose.position.x current_y = poseStamped.pose.position.y current_z = poseStamped.pose.position.z d_x = (current_x - start_x)**2 d_y = (current_y - start_y)**2 d_z = (current_z - start_z)**2 #d=srqt((x2-x1)**2+(y2-y1)**2+(z2-z1)**2) distance_3d = math.sqrt(d_x + d_y + d_z) if (distance_3d > meters): bo=False msg.axes = 0 msg.axes = 0 pub.publish(msg) rate.sleep()