One of the most basic autonomous robot you can build is a line following robot(LFR). This type of robot is run over a white surface which has an arbitrary path drawn over it by using back paint. The task of the robot is to run exactly along this painted path. You may note that the surface […]
Line Following Robot using AVR ATmega8 Read More »
In this tutorial we will discuss a simple PC controlled robot. The Robot PC link will be a RS232 serial line. The robot will have only five commands. Move forward (RS232 char ‘F’ or ‘f’) Move backward (RS232 char ‘B’ or ‘b’) Turn Left (RS232 char ‘L’ or ‘l’) Turn Right (RS232 char ‘R’ or
PC Controlled Robot using ATmega32 Read More »
Concept The customer’s demands were to develop and build a kit, consisting of a small mechatronic system with educational concept. In particular, he asked for a driverless robot for training purposes abroad. The idea behind this is that our customer needs a kit for sending it to partner schools around the world to help the
Remote Control based Robot using C language Using Atmega Read More »
Here is my Chronos watch controlled rover. The rover has a CC1110 minikit that receives SimpliciTI messages from the watch and sends this to an Arduino (AVR) over serial. The Arduino controls the motors and the servo controlling the robot arm. I have called this thing a robot, which is not strictly correct, as a
Watch controlled robot using AVR microcontroller using atmega Read More »
Essentially another tutorial involving controlling DC motors. In this post I’m going to first alter a robot arm I had built previously from a beginners kit so that it can be controlled from Arduino. Then I’m going to write a series of posts on different ways to control the robot arm using Processing and other things. You should be able to
Arduino – Modifying a Robot Arm using ATmega328 Read More »
Introduction Our project consisted of an elementary eight neuron network that used Hebbian Learning to train a robot to respond intelligently to input light stimuli. First, we decided upon a task that would accurately denote Hebbian learning. One of the most common examples of conditional learning such as Hebbian learning is seen in Pavlovs experiment
Neural net robot using ATMega32 Read More »
Introduction We decided to do this project due to our keen interest in the robotics. We were also looking for a project that involved a perfect mix of hardware and software complexity. This project enabled us to use new hardware such as sensors, stepper motors and their integration in big projects. The robot is essentially
TRISHUL -Autonomous navigating robot Using Atmel Mega32 Read More »
Introduction Our final project in ECE 476 is a mobile robot with a developed neural network such that it evolves to avoid collisions into a circular vertical white wall while traveling at the fastest speed and straightest line possible without human intervention or external computers. The completion of this project required extensive capacity and application
Evolving neural robot Using Atmega32 Read More »
Introduction Sensing in autonomous vehicles is a growing field due to a wide array of military and reconnaissance applications. The Adaptive Communications and Signals Processing Group (ACSP) research group at Cornell specializes in studying various aspects of autonomous vehicle control. Previously, ACSP has examined video sensing for autonomous control. Our goal is to build on
PeanutBot, The Audio Homing Robot Using Atmega32 Read More »
Abstract -A Roomba for boards For our ECE 4760 final project we created a board climbing robot capable of cleaning the board autonomously. The robot uses neodymium magnets to stick to the board and moves across it with two continuous servo motors. It has bumper sensors on all four sides and keeps track of its
Autonomous Board Erasing Robot Using Atmega644 Read More »
