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results.html
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<!DOCTYPE html>
<html>
<head>
<link rel="stylesheet" type="text/css" href="styles.css" />
<link
href="https://fonts.googleapis.com/css2?family=Montserrat:wght@400;700&display=swap"
rel="stylesheet"
/>
<script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
<script
id="MathJax-script"
async
src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"
></script>
<title>EECS106 A Final Project</title>
</head>
<body class="pageContents">
<nav class="top-bar">
<a href="index.html" class="nav-item">Introduction</a>
<a href="design.html" class="nav-item">Design</a>
<a href="implementation.html" class="nav-item">Implementation</a>
<a href="results.html" class="nav-item">Results</a>
<a href="conclusion.html" class="nav-item">Conclusion</a>
<a href="team.html" class="nav-item">Team</a>
<a href="additional.html" class="nav-item">Additional Materials</a>
</nav>
<div class="background">
<h1 class="backgroundImageTitle">
EECS 106A Final Project - Grippy Kasparov
</h1>
<p class="backgroundImageText">EECS106A Fall 2024 Team 23</p>
</div>
<h2 class="title">Results</h2>
<div class="wrapper">
<div class="content">
<p>
The project turns out to work really well. The haptic search is
perform correctly that the suction cup wll not drag the piece with it
to cause some errors. The Computer Vision gives a really accurate
center position. The graveyard system and other case like capturing,
promoting, and castling are all handled corrctly when it occurs.
</p>
</div>
<div class="imageWrapper">
<div class="title-image-wrapper">
<p class="imagSubTitle">Center Detected Accurately:</p>
<img class="resultImage" src="images/Center Detected.png" />
</div>
<div class="title-image-wrapper">
<p class="imagSubTitle">Handling Graveyard Correctly:</p>
<img class="resultImage" src="images/Handling Graveyard.png" />
</div>
</div>
<div class="content">
<p>
Here is a Hyperlapse demo game play of us vs the robot arm, as you can
see, the action of the robot arm is really steady and accurate that
the game play is really reliable wiht little to no errors at all. This
demo shows how the haptic search works in real game play cases and how
the capturing and graveyard system works as our desire.
</p>
</div>
<div class="videoWrapper">
<p class="videoTitle">Hyperlapse Gameplay (Demo):</p>
<iframe
class="videos"
src="https://www.youtube.com/embed//Ez1vncJWqsQ"
title="YouTube video player"
frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
allowfullscreen
>
</iframe>
</div>
</div>
</body>
<footer class="footer">
<div class="footer-content">
<p>© 2024 Berkeley EECS106A Team 23. All rights reserved.</p>
<p>
Github:
<a href="https://github.com/Jungpyo-L/pushpull_suctioncup_106a"
>EE106A Push Pull Suction Cup</a
>
</p>
<p>
Contact:
<a href="mailto:[email protected]">[email protected]</a>
</p>
</div>
</footer>
</html>