This tutorial will show you how to use and modify a standard NXTG program to create a working LEGO NXT Segway balancing robot that you can customize as you like. I. Best of Lego Mindstorms EV3 Robotics Projects. This article was last modified on 2. November 2. 01. 6. Imagine a robotics kit that can take any shape you want. This is the Mindstorms EV3 kit. In 2. 01. 3, LEGO released a new version of its Mindstorms series called EV3. Once with the new kit, the Danish company inspires the engineers of tomorrow and continue what already began with the NXT kit. Tons of Lego projects are shared by the hobbyists on the Internet. As I see after I explore hundreds of projects, you will also see why the EV3 kit is an inevitable source of inspiration to build robots. Yes, built modular robots with bricks, sensors, and the EV3 intelligent brick. Its probably the best prototyping platform for anyone who loves to build different things using the same parts and components. In the following, I explore fascinating robots like rovers, robot arms, drones, mobile caterpillar, and more. Tic Tac Toe Robot. Tic Tac Toe is a smart robot designed to entertain the users by playing the strategy game Tic Tac Toe. The bot is built with a program developed with le. JOS EV3 Java. Tic Tac Toe Robot. EV3 Experimental Robotic Arm System. Powered by one electric motor, this robotic arm is an experimental robot built only with Mindstorms EV parts. EV3 Experimental Robotic Arm System. EV3 robotic arm. This robot arm is developed to have 3. The platform has attached two wheels and two EV3 intelligent bricks to control a variety of sensors and motors. EV3 Robot Arm 3. 60 Degree. Robot arm H2. 5With just a LEGO EV3 educational kit, two kids develop this autonomous robot arm with the ability to grasp and manipulate objects. Robot Arm controlled via Bluetooth PS3 controller. This responsive and precise robotic arm is built with LEGO pieces and has attached a Raspberry Pi board. Its controlled with a PS3 controller via Bluetooth wireless technology. EV3rstormer. EV3rstormer is a remote control humanoid robot based on tracks and designed to shoot with small balls. EV3rstormer. Spik. Spik. 3r is a six legged creature able to turn sharply and snaps with its crushing claw. Theres nothing unique about loving Lego. Millions of people wax nostalgic when they see those colorful bricks. Millions more never stopped building. Ive always. The LEGO Movie, which was originally named LEGO The Piece of Resistance and then later was. References to the coming robot revolution, killer droids, malicious AIs and human extermination abounded, some more or less serious than others. Now that you have either chosen or built a frame, the next step is to choose the right propulsion system. A complete propulsion system includes motors, propellers. Spik. 3r. Mind. Cub. This Lego project is a real solution to solve the well known Rubik Cube puzzle. Opensource robotics OSR is where the physical artifacts of the subject are offered by the open design movement. This branch of robotics makes use of opensource. It seems reasonable to expect that when you program a robot to drive straight, it should just work. And, of course, this is what the Move Steering block in the EV3. Accelerometers, gyroscopes and IMUs are incredibly useful little sensors which are being integrated more and more into the electronics devices around us. These. This tutorial will show you how to build and program a selfbalancing LEGO MINDSTORMS EV3 robot that can drive around a room autonomously. In this article, you can explore fascinating LEGO projects like rovers, robot arms, drones, mobile caterpillar, and more. SinCosGraphProg.jpg' alt='Lego Nxt Balancing Robot Program Lego' title='Lego Nxt Balancing Robot Program Lego' />Mind. Cub. 3r. Play. Play. Lego EV3 robot with color, infrared and touch sensors. Play. 3r. Color Sort. The Mindstorms EV3 kit is a good source to build a wide range of robots using simple sensors such as color or touch. The Sort. 3r robot is designed to sort balls depending on the color. Color Sort. 3r. Dinor. Dinor. 3x is a dinosaur that can walk and turn on legs. Dinor. 3x. Ev. 3d. Lego Nxt Balancing Robot Program' title='Lego Nxt Balancing Robot Program' />Designed by a Lego hobbyist, Ev. Ev. 3d. 4R3ptar. With a cobra like design, this Lego robot can slither, snap and attack anyone around it. R3ptar. Luu. Ma. Built entirely from the Mindstorms EV3 kit, Luu. Ma is a wheel based project that performs simple instructions such as turn on a switch mounted on the top of the robot. Luu. Ma. EV3 Robot tracks a black line. This line follower robot is a good example for beginners to get started with the EV3 kit. EV3 Robot tracks a black line. G3. Roboy. G3. Roboy is a simple EV3 robot engineered to detect colors. G3. Roboy. EV3. Meg. EV3. Meg is a fan made project based on wheels and designed to run in a big packaging line factory. Its capable to follow a line and grasp objects with its gripper arms. EV3. Meg. Dizz. 3With two big wheels and three sensors, Dizz. Dizz. 3Spirograph. With two wheels, a gyro sensor and a pen, this little robot can be a good source of fun. Spirograph. Riley. Rover. Riley. Rover is a robot designed for classroom lessons where are used the ultrasonic, color, and gyro sensors. Riley. Rover. Rac. Truck. Rac. 3 Truck is the first Lego EV3 truck with sensors and motors capable of autonomous tasks. Rac. 3 Truck. Robodoz. Robodoz. 3r is a robot bulldozer capable of autonomous tasks and designed to push things using its bulldozer bucket. Robodoz. 3r. Track. Using tracks, this robot has all terrain abilities and can be used with a set of different tools including a bi blade blender, blasting bazooka, gripping claw and a heavy hammer. Track. 3r. Battle Tank. The Battle Tank robot is engineered with all terrain abilities and can detect obstacle using the well known Lego sensors. Battle Tank. Gripp. Gripp. 3r is a giant robot with antennas and a special gripper located in front of the robot designed to grasp different objects. Gripp. 3r. Kraz. 3With a crazy attitude according to its designer, Kraz. IR Beacon. Kraz. 3Bobb. Bobb. 3e is a remote controlled robot capable of steering and lift objects. Bobb. 3e. Saphir. Qu. 3st. Saphir. Qu. Saphir. Qu. 3st. Mobile caterpillar. At least one LEGO robot is prepared for Mars missions. Built with LEGO pieces, the LEGO EV3 controller, and with an Arduino microcontroller attached, this mobile caterpillar is featured with a 3. D printer extruder to print buildings and machines. Lego Drawbot. Drawbot is a LEGO robot with pencils instead legs that draw when is moving. Lego Drawbot. Lego Bookreader. This is a Lego robot that loves books. Bookreader is a digital book reader robot built with LEGO blocks, LEGO motors and has attached a Raspberry Pi prototyping board and a Brick. Pi. The robot has the task to turn the pages of the book. The Brick. Pi Bookreader robot. Spybotics. Spybotics is a platform based on LEGO components and allows anyone to assemble the bot, control and program it for different missions. Lego Spybotics. HOW TO create a Line Following Robot using Mindstorms. From this tutorial you can learn how to build a line following robot using the Mindstorms EV3 kit. Line Following Robot using Mindstorms. ARM Lego robot prepares to smash own puzzle solving record. This project is a bonus for Lego and Rubiks Cube hobbyists. Cubestormer is a very fast robot built from Lego EV3 pieces and able to solve the Rubik Cube puzzle in only 5. Cubestormer. EV3. COMPOS3. RThe EV3. COMPOS3. R project can be built with either the retail or education plus extension sets. The project allows you to compose and save tunes on the EV3 brick. EV3. COMPOS3. RRobot Mk 3. The Mk 3 robot has giant tracks and is powered by EV3 motors. Each track is built from 7. EVB Rubics Cube Solver. This is a LEGO machinery able to solve a Rubik cube. The LEGO bot is controlled via an EVB shield for the Beaglebone Black board. The Rubiks cube is placed in the center of the boat and is handled by two arms one arm rotate the cube, and another one detect the colors. Mind. Cub. 3r. The Mind. Cub. 3r is another LEGO robot designed to solve the Rubiks Cube puzzle. It has a rotary plate and an arm that turns the cube puzzle according to the color detected by the sensor. Two Wheel Self Balancing Robot. A LEGO robot with an Android smartphone attached to its chest. The smartphone power and control the self balancing robot, while the user control the robot wireless with another smartphone. Spinning Replicator. This LEGO robot has two rotating discs to scan and draws what it scans. On one disc is the illustration and on the other disc is an arm that draws what is scanned. DIY RC project. This rover powered by four servos is controlled by a Handuino controller. The controller has a built in LCD display and a multitude of input options. The robot communicates wireless via an XBee module. Lego Starcraft 2 Siege Tank. Built as a copy of the Siege Tank in Starcraft 2, this LEGO tank has mobile tracks that drive and turn the robot in any direction. Its built with a tonne of LEGO pieces, four motors and two linear actuators. HOWTO create a Line Following Robot using Mindstorms. The easy way of learning how to built your own Line follower Robot using a PID Controller without any of the mathematical expressions that you will find on most tutorials. Code included The first thing you have thought about after unboxing your LEGO Mindstorms was building the first robot, and just after that you would love to make it follow lines, isnt it Line following is one of the most common problems on industrial robots, and it is one of the most useful applications because it allows the robot to move from one point to another to do tasks. There are several ways of making a Line Follower, the one that I am going to explain you about is using the Light sensor. As you know, both Mindstorms and EV3 sets come with a little light sensor that it is able to get a reading of reflected light, apart of seeing colors. On this tutorial I will explain how to do line following with just one sensor. The more sensors you have the better and faster the robot will be able to follow it. Building the line follower robot. So first thing is build yourself a little robot much like Track. You can download the instructions provided by LEGO. System Dynamics Sterman. It is a simple construction. Or base it on one of the LEGO Education modelsWhatever you build, just try to keep the distance between wheels to a minimum because the bigger the distance, the harder for the robot to follow the turns on the line. Ok, ready Time to code. Let me explain how we get to the best solution with a serie of intermediate steps that will help you understand it better. Building your playground for line following. Ok, the robot is done. But before start coding, we need the line that the robot will follow. If you happen to have the Mindstorms NXT 2. But if you dont just do like me. I have used a black tape and with the finger I have sticked it to the floor creating a continuous path that the robot will follow. You dont need a closed loop although it is a good idea to do it in that way. My floor is done of marble that it is white and brown at times and even with that it works. So it may work too on yours unless it has even less contrast than mine. Line Following Problem definition. It is quite important to understand the line following problem first. So lets describe the problem. We have a thick black line on a white surface and we want our robot to move along the line following it in the fastest possible way. Right Well, first thing that we need to understand is that we dont want to follow the line wtfNo, serious, we dont follow the line but its border in what it is called left hand approach. We want to follow the line where there is a 5. So, next step is defining what it is black and what it is white. I hope you have a clear idea of what these two colors are, but unfortunatelly your robot dont. So the best thing you can do, before starting anything else is calibrate the robot. Light Sensor calibration. Ok, as you know Color sensor can also work as a Light sensor, so we choose the Measure reflected light mode and we are going to store in two variables the white and black colors. The reflected light value is just a number between 0 and 1. So the pseudocode would be. CALIBRATE. print WHITE. Wait for Touch Sensor to change. Read Light Sensor. BLACK. Wait for Touch Sensor to change. Read Light Sensor. Do you get the idea We add a Touch sensor to our Robot to record the light value, you can also do it using Brick buttons, as you prefer. Here is the EV3 code that I used for it. So the idea is that you place it on the white surface, press the touch sensor, place it now on the black surface and press the touch sensor again, now we have the white and black readings and can start working. I do it each time I start the robot but you can safely ignore it while light conditions keep stable. Line Following with OnOff Controller. Ok, we have the robot, we have the calibration data lets go code. Maaaaaaah. HH Bad Lets think first what we are going to do. Lets start with the simplest possible way and perhaps the worse of doing line following. We place the robot on the line, we get a reading if it below the middle black white we move to one side and if it is above we move to the other side. Simple Clever Lets see again the pseudo code. LINE FOLLOWING. white 0, black 0. Read Light Sensor. B set power 5. 0. C set power 2. 5. B set power 2. 5. C set power 5. 0. The idea is pretty simple just make one wheel turns faster than the other. Here it is how it works. Here is the EV3 program You can download all the source codes on the bottom of the page Does it worksWell. If the corner is step enough the robot will miss it and as you can see it is missing the straight line and it starts oscillating around it. Why Because we have only two states, so the robot is either turning left or turning right. What can we do Exactly. So we have left, straight and right. So why not make the turn proportional to the error, the difference between the midpoint and the value read. Line Following with a P Controller. Do you like Maths I dont. I have a deep understanding of them but I really cant stand the complex way of explaining simple things. P Controller without any kind of mathematical notations. If you follow the reasoning of the OnOff controller with several states you may end up thinking of a controller with infinite states, each one of them with an value proportional to the error, the difference between where we want the robot to be and where it really is. If you want something to be proportional to a quantity you just multiply both factors so we have. Kp midpoint Light Sensor Reading. Where K is a constant that helps us tune the P controller. The bigger Kp is the higher will be the turning when there is an error, but if Kp is too big you may find that the robot overreacts and that it is uncontrollable. You can watch what happens when you change the value of Kp from 0 to 1. So start with 1. So our P Controller would be like this pseudo code. LINE FOLLOWING. white 0, black 0. Read Light Sensor. Turn BC Motors by correction. If you are not using the EV3 module just move one motor a value correction and the other motor to value correction. It is pretty much the same. Here it is the EV3 program You can download all the source codes on the bottom of the page Tunning the Kp parameter. Start with Kp1 and run your robot. If the robot cant follow the turns on the line then increase Kp, if on the other hand your robot turns violently on the line, decrease the Kp value. The bigger the effect the bigger the change need on Kp. Just keep playing. The P Controller has two problem that can be easily fixed with a complete PID controller one is that it will oscilate after corrections and the other is that there is a small error that it is a direct result of the P Controller. So lets see the complete PID controller. Line Following with a PID Controller. A PID controller is basically a P controller with two other components, the integral part and the derivative part. Dont be scared. Let me explain the overall idea and we move to the pseudo code. Proportional part of the PID Controller. This is exactly the part that have just seen above. Integral part of the PID Controller. The idea behind the integral part is that the error must tend to zero over a period of time. I will avoid you a very ugly mathematical expression explaining this. So over a number of interation we want this to be zero.