The rover is to compete in a race on a pre-defined track consisting of vertices made up of GPS coordinates. The microcontroller receives the input from the GPS module in string format through serial communication. This data is then sent through our path finding algorithm and the direction is calculated. The rover runs through the course with minor mishaps.
Improvement recommendations include alternate algorithms and additional sensors. Did you use this instructable in your classroom? Add a Teacher Note to share how you incorporated it into your lesson. Participated in the Toy Rods and Connectors Contest.
Reply 2 years ago. Reply 3 years ago. Reply 5 years ago on Introduction. There also doesnt seem to any any distance calculating alograthms!!! Can you please verify if you have attached the correct code. I shall be very thankfull. The code posted above is just to get the GPS coordinates from the sensor.
The path finding algorithm which was first done in Matlab and then converted to 'c' was actually not done by myself as credited earlier and hence I do not have the rights to post it. During testing our final 'c' code mostly consisted of hard coded coordinates anyway as the GPS we used was not accurate enough to position the rover on the small course.
Thank you bluebean, so kind of you to make a quick response Reply 6 years ago on Introduction. Sure no problem. So if i understand you correctly your looking for a type of micro that can be upgradable?You can see that I am holding a cellphone and controlling the robot. I am at a tennis court and I am setting a Waypoint for the robot to return to.
Once I position the robot where I want it to return to I, clear the GPS waypoints, Set the new waypoint, press Done when I have entered all the waypoint in this case just onethen I press Go to Waypoint and the robot returns to the desired location, give or take a few meters. Once I press the Go to Waypoint Button, the robot determines a course to return to the location I set. The robot constantly checks to see if it is within 0 meters of the GPS position, if it is then the App display will read "Destination Reached".
As you can see sometimes it returns to the correct location and other times it is several feet off.
Rugged elevation four legged robot using Arduino
Did you use this instructable in your classroom? Add a Teacher Note to share how you incorporated it into your lesson. We will start building the GPS Guided Robot in just a moment but first let me give you a little background on how this project came about. If your not interested in how the robot came into existence and why, feel free to skip to the next step. I was very impressed to say the least!
Using a laptop computer, a Logitech camera, and an Arduino connected to a few servos, the Project Gun would track the person or object and shoot them with a Paintball gun. I had to build one myself! But how was I going to do it?
I knew a little about programming, I have a degree in Computer Information Systems, but I knew nothing about microprocessors or anything about robotics. It seemed like an impossible task. Eventually after about three months of immersing myself in Arduino YouTube video tutorials, Arduino Books, magazines; I finally started to build my own project sentry gun and it worked! Much to my amazement! Some were exact copies of other people's work, some were modifications, and other were completely my own.
During this time I was still metal detecting, but while metal detecting I kept thinking how cool it would be to build a metal detecting robot! I noticed that metal detecting was very robotic. Walk in a straight line, turn, move over a few feet, walk in straight line, Repeat, over and over again. But it still seemed like an impossible project, so I started looking for Videos on YouTube hoping that someone else had already built such a device.How to Build a GPS Guided Bluetooth Robot - Demo
Well there were a few but most were just way to complicated or too expensive.Espionage robots are not best suited for surveillance on rugged terrain because of its wheeled systems.
Due to the inability to operate on rugged terrain, robotics and drones get jammed. Here the model presents a rugged terrain beetle robot that can quickly move across jungles, hilly and rocky areas with minimal effort.
Its compact size helps it to travel across rugged terrain like a little animal with little noise moving through the forest. To perform this function the robot uses a crawling method. Robotics Kit will be shipped to you and you can learn and build using tutorials. You can start for free today! Robotics Career Building Course. Gesture Controlled Robot. Automatic Human Following Trolley. The machine uses a circuit based on a microcontroller to control the motors and attain the required motion.
The robotic vehicle uses advanced climbers on hilly terrain to ascend and descent. The climbers often require it to crawl through bushes and grass with ease. This also helps the device to cross rough trails and obstacles. The robot is operated remotely via an application using a Smartphone. This enables the user to remotely manage the robot's lateral motion, velocity, and strength. The machine electrical system consists of a microcontroller circuit which receives user commands and afterwards instructs motors to achieve a particular movement via driver IC.
So here the project put forward Arduino related rugged Elevation four legs Robot. Following are the components required to build the gadget:. Motor Driver IC: It is an electronic circuit chip commonly used in automated systems to drive motors.
Arduino Uno: This is a conveniently accessible alternative microcontroller board developed by Arduino. IoT Gecko: In an IoT-based system for the encoding of sensor values, operation of motor systems and movement control. This is a free IoT technology development tool for students, researchers, and developers. Create a path to internet-controlled physical tools, with support and services for the easy creation of IoT-based gadgets.
LCD Display: That is a flat panel display where liquid crystals are used in their main operating phase.
Adapter: The supply voltage was reduced from V to 12V, which is optimal for an antenna or other small electronic devices.
The incoming rapid electrical boost will destroy the device's internal portions entirely, which is why an adapter is required to regulate voltage surge.Pages: . Talosmith Guest.
How to Build a GPS Guided Robot
Hi, I recently built myself a simple robot, consisting of: an Arduino board, motor-driver board, two DC-motors with tank treadsbatteries. The tutorial provided a code for this to work. The only design change on my project was the lack of a servo, but i figured I could use the two motors for steering like a tank. However I am no expert on Arduino so I did not manage to rewrite the provided code to use two DC-motors for steering instead of a servo.
So I was wondering if any of you know how to modify this code ttjcrew all rights reserved for my project: Code: [Select]. Re: autonomous robot GPS controlled. The functions for moving the robot driveStraight, driveToTarget, hardLeft, and hardRight are the only ones that need to be changed to incorporate track steering. How are you steering your robot, now? You must have similar functions, don't you? Are you using PWM to control motor speed? The art of getting good answers lies in asking good questions.
I figured out how to change the drivestraight, hardleft and hardright code see code. But not the driveToTarget function. Code: [Select]. With the controller, you should be able to supply two different PWM values, and two different directions.
The dir value in driveToTarget will define how much you need to turn left or right, based on whether dir is positive or negative. It's a matter of experimentation to find the right combination of direction for each side, and speed for each side, to turn the amount needed, based on dir.
Okey, so how can I map the dir value to make my robot drive to the target stay on course? As you know, you're dealing with two different types of steering geometries; one called "differential", and the other which, for some reason, most people don't know the name of is called "Ackerman". Basically, you need an algorithm to alter the speed of your tracks in the differential system based on the angle of steering in an Ackerman system.
I am sure that somewhere, given enough research or some study on the problem one could come up with a formula that basically does this conversion, but I honestly don't know where or what that would be. It could be possibly fudged. If we suppose that the servo for steering has a value of 90 for "straight ahead", for "full right" and 0 for "full left", then what you can do is first subtract 90 from the value, so that you have a range of full left thru 0 center thru 90 full right.
Note that these values are for the sake of this discussion, the real values will differ based on your system and setup. Anyhow, if you have a PWM value of for each motor driving a track in a differential system, what you can do is take the value from the range above, and if it is greater than 0, speed up the left track, and if less than 0, speed up the right track.
You might also want to slow down the opposite side as well. That's the gist, anyway - I am certain that the above is full of holes and errors, but the idea is there, I think.Friday, June 6, Week The Conclusion.
As the work from week was very similar, we can group the work we have been doing from the past week together. Final Mechanical Setup The group initially started with using five infrared sensors in the front but then realized that it was unnecessary to have so much and the system would be most efficient with the use of only 2 infrared sensors. The Arduino has been mounted on acrylic and all of the sensors have been mounted through convenient means whether it would be another acrylic mount or zip ties.
Before mounting the car, the RC car was able to head toward waypoints and then update to go to a new one; however, during the process of permanently soldering all of the sensors, the compass module was wired incorrectly and was overloaded with voltage. This means that the 3. A new compass was ordered but it took a week to arrive and unfortunately, this new compass was also broken.
This means that the waypoint traveling objective cannot be fully tested for all arguments and errors but is at the stage where it works. While the GPS was down, the State Control was completed and the object is able to avoid objects at low speeds.
The scenarios from week were tested and the robot was able to avoid the objects with no problem. The only problem was when there was a wall in front of it and it had no idea where to go from there.
Firstly, the Arduino Mega was able to utilize the motors on the RC car by sending servo commands to them. With fullcontrol of the car, the Arduino gathered data from its sensors and used advanced algorithms to find the desired heading and drove the RC car accordingly to the waypoint.
While driving to the waypoint, the Arduino utilized its state-control program to avoid any events that may interfere with its path using its infrared sensors and drove around the objects that were in the way. Future Work Though this project can be considered a success, there were many shortcomings that can be improved on. This means that though the car worked, it is impossible to be able to conclude the project as a success and will require more tests in the future.
Since ROS was not included in the final product. Tuesday, May 13, Week Update.
Autonomous Autonavigation Robot (Arduino)
Tuesday, May 6, Week update. Week 4 Objectives. Tuesday, April 29, Week Update. Tuesday, April 22, Week Update.Hello, This is a step by step guide to build an autonomous navigation robot. We use the Arduino microcontroller to control this robot. We have two different programs for this robot. The first enables the robot to drive around and avoid anything that gets in its way. This avoiding obstacles program uses two ultrasonic sensors. Our other program uses 2-D arrays to map out the surrounding area.
Based on the values we input into the 2-D array, the robot knows where things around it are. Both programs are included. Did you use this instructable in your classroom? Add a Teacher Note to share how you incorporated it into your lesson.
We used vex as the frame for our robot, but you can use anything you want to make the structure. In fact, we recommend making the frame from scratch. We also use Vex sensors and vex motors, but even if you use other sensors and motors, which we recommend that you do it will work almost exactly the same way.
The first section is about the mechanical aspect. The second section is about the electronic aspect. The third section is about the programming. First, we need to build a solid base. We have attached pictures here, but you can make it pretty much however you want.
We made three different prototypes of this robot. We will discuss the first two here. Mark I had a truck-like shape. It was pretty big, but that also made it slower and harder to turn. Also, for our purposes, the size was pretty much unnecessary. Therefore, in our second model, we made it much smaller and more compact. Next, we need to add the servos underneath the base so that there is enough space on the outside to attach wheels.
We used a four wheel drive.A few months back I started playing around with Arduino micro controllers as a learning exercise and for fun ; this project is the culmination of that. The goal of the project was to create a vehicle that can autonomously navigate through a series of waypoints GPS coordinates while avoiding any obstacles it encounters along the way.
The project uses an assortment of electronic sensors and components, and pulled together the knowledge I had learned and synthesized from many sources along the way. In the attached video you can see a short clip of the car on its way, in this run it navigated through five GPS waypoints on a course on my neighborhood streets totaling about meters. Did you use this instructable in your classroom? Add a Teacher Note to share how you incorporated it into your lesson.
A note on project cost: other than the mounting board, almost all of the other components are re-usable; either things you already have that you can use for this project, or things that we can eventually disassemble from this project and re-use elsewhere.
I had seen posts on the internet about hacking inexpensive radio controlled RC cars and directly connecting an Arduino to the existing circuit board.
Self Driving Car Using Arduino(autonomous Guided Vechicle)
Unfortunately, my early soldering skills left a lot to be desired and I burned through a couple the delicate surface mount components, so I ended up with a partially functioning vehicle.
Problem solved. Now I had full control over the vehicle's motors The car was controlled by two DC motors: one controlled the drive, and using the pulse wave modulation PWM of the motor controller I was able to control the speed across a range of speeds; the other controlled the steering.
This inexpensive RC car did not have proportional steering; the left and right wheels are joined, and there is a spring in the middle that holds the wheels in neutral center position when the DC motor is not engaged. That allowed me to turn the vehicle, but provides limitations later when I want more sophisticated navigation.
For a future enhancement I will try to replace the DC motor with a servo for full proportional steering control. I placed the battery supplies beneath the board and passed the cables through holes I drilled. In the first photo above, you see 1 the LCD, 2 the main breadboard, 3 the small breadboard for the magnetometer, 4 the Arduino you are seeing the GPS Shield as you look downand 5 the magnetometer sitting up high on its pole mounted perch.
The main action happens in the Arduino sketch loop function which runs repeatedly. The basic program control logic is:. The LCD provides invaluable insight what the vehicle is doing, critical for debugging and tuning the code.
It also looks cool! Also has an line bar graph from 0 to the maximum detectable distance. To drive autonomously, the vehicle needs to be able to check for and avoid obstacles it encounters as it drives. I handle this with a "ping" ultrasonic sensor and some computer logic. The sensor is a basic ultrasonic sensor. The sensor is pretty basic, and has a very narrow field of view. For this project, I am only using a single sensor with a fixed position not a sweeping "radar" type implementation. I mounted the sensor to the front bumper of the vehicle with some Surgu.