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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0"/>
<title>Guhan K.B | Publications</title>
<link rel="stylesheet" href="publications.css" />
</head>
<body>
<header class="main-header">
<div class="nav-container container">
<div class="nav-logo">My Publications</div>
<ul class="nav-links">
<li><a href="index.html">Home</a></li>
<li><a href="projects.html">Projects</a></li>
<li><a href="publications.html">Publications</a></li>
<li><a href="EXPERIENCE.html">Experience</a></li>
<li> <a href="certificates.html"> Certifications</a></li>
<li><button id="darkModeToggle">🌙</button></li>
</ul>
</div>
</header>
<section class="container publication-list">
<div class="pub-card">
<h2>Solar Powered Agricultural Robot</h2>
<h5>Shatha Varsha Sree, Jeevakamal K.R, Guhan K.B,Gowtham S.D, Akhil VM</h5>
<p>The solar-powered agricultural robot uses Arduino Mega 2560 for interfacing sensors (soil moisture, ultrasonic, temperature, humidity) and actuators. MATLAB Simulink aids in simulation and control design. Motors handle locomotion and irrigation, powered by solar panels. Motor drivers and relays manage actuators, enabling efficient, autonomous irrigation through sensor data processing and control algorithms.</p>
</div>
<div class="pub-card">
<h2>Two vs Four-Wheel Differential Bots</h2>
<h5>LalithKishore J, Harikrishna S, Guhan K.B, Deepak kumar K, Akhil VM</h5>
<p>The study compares two-wheeled and four-wheeled racing robots in ROS-Gazebo using PWM control, kinematics, dynamics, and SLAM. Sensors include LiDAR, IMU, and encoders. Path planning uses Euclidean, Manhattan, Chebyshev distances, and DTW. Four-wheeled robots offer better control, while two-wheeled robots excel in speed but lack stability.</p>
</div>
</section>
<footer>
<p> Guhan K.B | Portfolio</p>
</footer>
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