TowBot: The Greatest Robot Ever Made by Austin Baylis
TowBot, created by undergraduate student Austin Baylis, is a cutting-edge robot designed to assist the Machine Intelligence Lab at the University of Florida with secure transportation of vehicles and equipment. This remarkable robot features hardware such as lead-acid batteries, wheel chair motors, and a Sonar system, along with software including Ubuntu 14.04 and ROS Indigo for facial recognition and tracking functionalities. Despite facing challenges like hardware failures and poor planning, TowBot continues to evolve with the aim of better control and enhancing user experience. Follow the journey of TowBot as it pioneers advanced technology in the field of robotics.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
TowBot TowBot the robot, the greatest robot ever made. Austin Baylis Undergraduate Student Electrical and Computer Engineering Austin Baylis: TowBot 1
Objectives Objectives Mission Overview Hardware Software Behaviors Challenges Going Forward Questions Austin Baylis: TowBot 2
Mission Mission Assist the Machine Intelligence Lab at the University of Florida with the secure transportation of vehicles and equipment. Austin Baylis: TowBot 3
Overview Overview Three wheel, displacement steering Mild Steel Frame Wheel Chair Motors Sonar Facial Recognition Austin Baylis: TowBot 4
Hardware Hardware Lead Acid Batteries Wheel Chair Motors Pololu Motor Drivers ODroid U3 uTinkerer XMEGA Board Sonar Logitech C920 Austin Baylis: TowBot 5
Software Software Ubuntu 14.04 ROS Indigo OpenCV Facial Recognition Feature Detection Tracking IEEE XMEGA Com. Driver Austin Baylis: TowBot 6
Behaviors Behaviors Active facial recognition for access Follow user to desired location using color thresholding Basic obstacle avoidance Continuous tracking Austin Baylis: TowBot 7
Challenges Challenges Poor planning and prioritization Hardware failures Sonar timing Communications Austin Baylis: TowBot 8
Going Forward Going Forward Make her feel beautiful Remote Control Better Control Austin Baylis: TowBot 9
Questions Questions Austin Baylis: TowBot 10
