The majority of mazes, however complex their design may appear, were essentially formed from one continuous wall with many junctions and branches. Remove the original set of 5 Line Follow Sensors and fix the new "Far LEFT" Maze solving problem involves determining the path of a mobile robot from its initial position to its destination while travelling through environment consisting of obstacles. Í´Í"Am9>iL|ìp|dÓÜ[ÃéWV¢T¸ä\¬«ÐÓ. Specifically in our kind of 2D Maze, we can find 8 different types of intersections (see the first picture above): Step 5: Implementing the "Left Hand on the Wall" Algorithm at Arduino Code. These ‘simple’ mazes are correctly known as ". It will work, but requires more sensitive adjustments on discovering intersections. It will work, but requires more sensitive adjustments on discovering intersections. To solve maze first depth search algorithm was used to explore it and for optimization the time flood algorithm was used. For starting, what is the difference between Maze and Labyrinth? endobj In both cases, goes to LEFT, if (mode == NO_LINE) {goAndTurn (RIGHT, 90); recIntersection('R');}, This function will be used for store the intersection and also to call another function. "%¦Õ¨Ôï7101þëQ ÏÀ8°$ z#
Share. Those ‘simple’ mazes are correctly known as "Simply-connected" or "perfect maze" or in other words, that contain no loops. Once you have a robot with line following capabilities, the next natural step is to give him some degree of intelligence. INTRODUCTION ... Short History of Maze Solving Robot. How much the robot will run will depend of the time that you use in the delay function, before you command the motor to stop. How much time do I have to complete the maze solver robot project? The proposed maze-solving algorithm works better and has short searching time and low spacecomplexity, and it is significant for robot’s finding path in some areas like maze-solving. ", the robot goes straight and quickly to the end without any mistake or doubt. The aim of this project was to given an image of a maze the solution of the maze should be traced by the arm on the maze. "Rex, the Robot" will try finding how to scape from a "labyrinth" on the shortest and fastest way. Arduino Line Maze Solving Robot. Several variables must be well defined in order to guarantee that the robot will turn the correct angle. In the first time that the robot explores the maze, of course it will waste a lot of time ", " about what to do at any intersection. endobj Generally, the project would take 16-20 hours to complete. Share 0. The updated files for this project can be found at GITHUB. The above 3rd picture, shows a very simple maze on my lab floor, used for test purposes. The ideal is to have all sensors equal, if possible. Looking at the example it is very clear that if the robot takes RIGHT at first intersection and after that, a LEFT, it will reach the End of Maze in the shortest path! Essentially, you have a wooden maze made up of a 16 by 16 grid of cells. After finishing the maze solving it is possible to navigate robot with WiFi. That's is exactly how the full path can be optimized. H 1 1 0 0 0 H ==> mode = FOLLOWING_LINE; error = -3; H 1 0 0 0 0 H ==> mode = FOLLOWING_LINE; error = -4; X 1 1 1 1 1 X ==> mode = CONT_LINE; error = 0; Eventually, you will reach the end of the maze. Step 3: Installing and testing the new sensors. This tutorial was developed upon my last project: Line Follower Robot - PID Control - Android Setup. For example, LBL ==> S Let's take a look on the 2 sources bellow: can be found at GITHUB. ". It will start run and when a intersection is found, it will now define what to do based on what it is stored at, else {mazeTurn (path[pathIndex]); pathIndex++;}. If the wall surrounding the goal of a maze is connected to the perimeter of the maze at the entrance, the maze can always be solved by keeping one hand in contact with the wall, however many detours that may involve. For a copy of the Follower Robot sketch, check out the GitHub repository. .". If you analyze all possibilities where a "U turn" is used, the set of 3 intersections where this " U-Turn" ("B") appears ("xBx") can be reduced to only one. function modified to include the extra 2 sensors, we can re-write the Loop Function to run the algorithm as described on the last Step: At this point, the robot is in fact "solving a maze"! is simple like that: So, when the First Pass ends, what we must to do it is only feed the robot with the optimized path array. Applications : House cleaning robot, Parking guidance , DEA can be used for wire routing. Turning Right - Your robot has determined that right is the best path. The ideal is to have all sensors equal, if possible. Also I tested the project keeping only the original 5 sensors. Previous USB Mouse Made Out Of A Wii Nunchuck. Task. You can see in the photos the design I made and the parts I used a laser cutter to make. reflective sensors at each extreme of the support plastic bar. Looking at the Arduino code, each one of the sensors will be defined with a specific name (consider that the original Line Follow Sensor more to the Left must be assigned with a label ", const int lineFollowSensor0 = 12; //Using Digital input, const int lineFollowSensor1 = 18; //Using Analog Pin A4 as Digital input, const int lineFollowSensor2 = 17; //Using Analog Pin A3 as Digital input, const int lineFollowSensor3 = 16; //Using Analog Pin A2 as Digital input, const int lineFollowSensor4 = 19; //Using Analog Pin A5 as Digital input, const int farRightSensorPin = 0; //Analog Pin A0, const int farLeftSensorPin = 1; //Analog Pin A1. expert and based on some information that I got from web, I understood that what our little Rex, the robot did, solving the maze could be considered an application of AI. For that, let's create a new variable (array) that will store the path that the robot has taken: We must also create 2 indexes variables to be used together with the array: So, if we run the example shown in the picture, we will end with: Let's return to our example. I’m teaching a mid-winter break camp this February, and the capstone project will be to create a maze solving program for the mBot. 34 0 obj IoT security/environment monitoring device with NFC & fingerprint authentication devices and a Weak Artificial Intelligence Assistant. Looking the first group of intersections, we realized the the first left branch is in fact a "Dead End" and so, if the robot instead of a "Left-Back-Left" only passed straight at that first intersection, a lot of energy and time would be saved! , in the English-speaking world it is often considered that to be qualified as a maze, a design must have choices in the pathway. Looking at the Arduino code, each one of the sensors will be defined with a specific name (consider that the original Line Follow Sensor more to the Left must be assigned with a label "0 So it’s logic is quite different from the line following robot which follows a predetermined route. The bellow function is included in the code and can be used for testing purposes: Step 4: Solving the Maze - The Left Hand Rule, As discussed at introduction, the majority of mazes however complex their design may appear, were essentially formed from one continuous wall with many junctions and branches. Maze Solver Robot using Arduino 1. The proposed maze-solving algorithm works better and has short searching time and low spacecomplexity, and it is significant for robot’s finding path in some areas like maze-solving. Hope I could contribute for others to learn more about electronics, robot, Arduino, etc. Popular consensus also indicates that labyrinths have one pathway that leads inexorably from the entrance to the goal, albeit often by the most complex and winding of routes. (((((((((((((((((((((((((((((((((((((((((((((((((((ÿÀ " ÿÄ ÿÄ I !1AQa"2qB¡±#3RbÁÑrá$4CSc5sð%6¢²ñtÂâÿÄ ÿÄ 7 !1AQq¡Ñ"a±ð2á3ÁB#$bRñrÿÚ ? It is advise to have the 7 sensors as lined as possible. Remove the code from the loop method; Compile and deploy to the Arduino. endstream The below video shows the complete example worked here, first and second pass. There were several challenges involved in figuring out how best to solve the problem with a stock mBot, but perseverance always pays off (a bit of ingenuity helps too!). Arduino | Maze Solving Robot (MicroMouse) \ Wall Following Robot: Welcome I'm Isaac and this is my first robot "Striker v1.0".This Robot was designed to solve a simple Maze.In the competition we had two mazes and the robot was able to identify them.Any other changes in the maze … Once the line of sensors is ahead of its axe, you must run the robot forward to align them. Testing the numerous possibilities, it will take several wrong paths and dead ends, what force him to run longer paths and perform unnecessary "U-Turns". The new array of now 7 sensors, is mounted on a way that the 5 original ones are exclusively used for PID control (and detection of the "full line", explained later) and the 2 new ones, left to be used exclusively for LEFT and RIGHT intersection detection. Remember that we projected a Differential Robot that when making turns, it "turns around its axe" and so, to move 90o and continuously follow the line, the center of the wheels must be aligned with the center of intersection. The problem is when the robot finds a "LINE" for example, because a line can be a "Cross" (1) or a "T" (2). << /Contents 39 0 R /MediaBox [ 0 0 596 843 ] /Parent 52 0 R /Resources << /ExtGState << /G0 53 0 R /G1 54 0 R >> /Font << /F0 55 0 R /F1 58 0 R /F2 61 0 R /F3 64 0 R /F4 67 0 R >> /ProcSets [ /PDF /Text /ImageB /ImageC /ImageI ] /XObject << /X0 38 0 R >> >> /Type /Page >> %¿÷¢þ 1. // Get the angle as a number between 0 and 360 degrees. The maze solving robot — also known as a micro mouse — is designed to find a path without any assistance or help. So, the key here is to identify the intersections, defining what course to take based on the above rules. GitHub Gist: instantly share code, notes, and snippets. endstream The main aim of this project is to make an Arduino based efficient autonomous maze solver robot. In both cases, goes to LEFT. For example, // only simplify the path if the second-to-last turn was a 'B', if(pathLength < 3 || path[pathLength-2] != 'B'). If you do not want to use de Android app, no problem because the code is "transparent endobj Maze solving robot arm. This tutorial was developed upon my last project: . 37 0 obj This function is in fact the loop() function used before, but incorporating all those steps of storing and path optimization. Returning to our project, it will be split in two parts (or "passes"): The video bellow, will show an example of Rex finding its way out. Share. In the first time that the robot explores the maze, of course it will waste a lot of time "thinking" about what to do at any intersection. When the first path ended, the path[] array will have the optimized path. For more tutorials, please visit my Blog: Maze Solver Robot, using Artificial Intelligence, TCRT5000 4CH Infrared Line Track Follower Sensor Module, ZX03 (based on TCRT5000) Reflective Infrared Sensors (Analog output), Line Follower Robot - PID Control - Android Setup, "Maze Solving Robot Using Freeduino and LSRB Algorithm International Journal of Modern Engineering Research (IJMER)", Step 8: Second Pass: solving the Maze as fast as possible, Otto DIY+ Arduino Bluetooth robot easy to 3D Print, TIA Weak Artificial Intelligence IoT Assistant, Wi-fi Controlled FPV Rover Robot (with Arduino and ESP8266), 2 X sets of 4XNi-Metal Hydride Battery (5V each set), 2 X SM-S4303R Continuous Rotation 360 Degree Plastic Servo, 5 X Line sensors (TCRT5000 4CH Infrared Line Track Follower Sensor Module + 1 independent Track sensor), 2 X ZX03 (based on TCRT5000) Reflective Infrared Sensors (Analog output), Far LEFT Sensor: Analog Output greater or lower than a THRESHOLD, Far RIGHT Sensor: Analog Output greater or lower than a THRESHOLD, H 0 X X X X L ==> mode = RIGHT_TURN; error = 0; (see the example at the image above). This function will be used for store the intersection and also to call another function simplifyPath(), that will reduce the group of 3 intersections involving an "U-Turn" as we saw before. that will reduce the group of 3 intersections involving an "U-Turn" as we saw before. . Type cmd+shift+n (Mac) or ctrl+shift+n (Windows) and enter the name of your object with “.h” at the end: This creates a Maze.h file in the same directory as your sketch. this special function is important because you can not turn the robot as soon you realize the type of intersection you are. Several variables must be well defined in order to guarantee that the robot will turn the correct angle. , defining what course to take based on the above rules. Testing the numerous possibilities, it will take several wrong paths and dead ends, what force him to run longer paths and perform unnecessary ", , the robot will be accumulating experiences, ", " about the different intersections and eliminating the bad branches. This robot took part in a competition and solved the maze. L X X X X 0 H ==> mode = LEFT_TURN; error = 0; X 0 0 0 0 0 X ==> mode = NO_LINE; error = 0; H 0 0 0 0 1 H ==> mode = FOLLOWING_LINE; error = 4; H 0 0 0 1 1 H ==> mode = FOLLOWING_LINE; error = 3; H 0 0 0 1 0 H ==> mode = FOLLOWING_LINE; error = 2; H 0 0 1 1 0 H ==> mode = FOLLOWING_LINE; error = 1; H 0 0 1 0 0 H ==> mode = FOLLOWING_LINE; error = 0; H 0 1 1 0 0 H ==> mode = FOLLOWING_LINE; error = -1; H 0 1 0 0 0 H ==> mode = FOLLOWING_LINE; error = -2. In short, the Left-Hand Rule can be described like: At every intersection, and throughout the maze, keep your left hand touching the wall on your left. (AI) simple concepts were used to solve a maze. This variable "mode" will be also used with the "Far LEFT/RIGHT" sensors. Now, let’s go over how the code works. Fabricated a 2 DOF arm and controlled using Arduino to trace the maze… According to http://www.labyrinthos.net, in the English-speaking world it is often considered that to be qualified as a maze, a design must have choices in the pathway. code for maze solver: https://drive.google.com/file/d/0B0nUL6bwAe2Hd2dvelNRWjJBaU0/view?usp=drivesdk
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