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California Polytechnic State University, San Luis Obispo

2011

Robot

Articles 1 - 3 of 3

Full-Text Articles in Engineering

Woody: Roborodentia 2011 Robot, Felix Chung, Canh Sy, Hanson Yu Jun 2011

Woody: Roborodentia 2011 Robot, Felix Chung, Canh Sy, Hanson Yu

Computer Engineering

Woody is a fully autonomous robot built and designed for the 2011 Cal Poly Roborodentia competition. Woody’s goal is to score the most points in the competition by navigating the competition field, efficiently collecting ping pong balls from the racks, and shooting the balls into the goal accurately. There was no specific budget set for the project, but costs were kept low by using tools from the Computer Engineering Capstone Lab, inexpensive materials such as wood, and reusable parts from robots from previous Roborodentia competitions.


Mr. Robot: A Roborodentia Contestant, Stephen Berry, Jamie Nease Jun 2011

Mr. Robot: A Roborodentia Contestant, Stephen Berry, Jamie Nease

Computer Engineering

Roborodentia is an annual robotics competition held during Open House at California Polytechnic State University, San Luis Obispo. Each year, students construct autonomous robots which compete head-to-head to score the most points. This report will give an overview of the competition and the details of our robot.


Autonomous Golf Cart Vision Using Hsv Image Processing And Commercial Webcam, John D. Fulton Jun 2011

Autonomous Golf Cart Vision Using Hsv Image Processing And Commercial Webcam, John D. Fulton

Electrical Engineering

Using openCV I was able to use a store bought webcam and my laptop to build code that could detect the lane lines and the curb on the road and use them to calculate a trajectory for an autonomous vehicle to follow. The code does have some flaws, as discovered in testing, and definitely room for improvement but it still functions as a useful basis for development. Developed primarily for the Autonomous Golf Car Project at Cal Poly the principles of how it functions could be applied to other projects that want to use computer vision.