Introduction For our project, we designed a glove that can be used to control the Cornell University robotic Snake arm thereby enabling a surgeon to remotely operate the snakearm as a colonoscope in conjunction with a vision guide system (aka TV goggles). The glove allows for movement of the arm’s segments as a whole and […]
Snake Arm Glove Project Using Atmega32 Read More »
I. Introduction We used the Wiimote’s IR tracking capability and Bluetooth to wirelessly control a robotic crane arm. The Wiimote is a powerful gadget and we wanted to build a new hack with it. Our crane is composed of three servo motors, one of which is connected to a gripper. The servos are controlled by
Wiimote Crane 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 »
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 As our final project, we decided to design and build a robot capable of vacuuming the floor of a room or area without any human interaction other than just starting the unit. We realized the need for a cheap and convenient product that can be easily used to vacuum a room on its own,
Robotic Vacuum Cleaner Using Atmel Mega32 Read More »
Introduction Objective The goal of this project is to design a useful and fully functional real-world product that efficiently translates the movement of the fingers into the American Sign Language. Background The American Sign Language (ASL) is a visual language based on hand gestures. It has been well-developed by the deaf community over the past
Sign language coach Using Atmega32L 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 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 Our project is an autonomous toy car that tracks a high pitched audio signal. Using two microphones, a microcontroller, and two DC motors on an existing remote controlled car and, we implemented our own control logic to detect high pitched 3.5kHz audio signals and drive the car. This project consists of both software
BlindBot usisng Atmel Mega32 MCU Read More »
Introduction The project, Robodog?is an autonomous car that follows sound. The car can follow almost any audible sound that human can create by using three onboard microphones. This project was possible because of the fact that the speed of the sound is relatively slow compare to the MCU. We took apart an old remote control
RoboDog using ATMega32 Read More »
