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<!DOCTYPE html>
<html lang="en">
<head>
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<title>Advanced Robotics Notes</title>
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<h1 style="">Robotics Notes</h1>
</div>
</div>
</div>
</div>
</header>
<main class="container">
<div class="row">
<div class="col-12">
<div>
<h6>Your Gateway to Advanced Robotics Learning</h6>
<p>Fuse machine learning, localization, mechanics and control system to build and control the intelligent robots of tomorrow!</p>
</div>
<div>
<h4>Table of Contents</h4>
<div>
<h5><strong>Part 01 :</strong> Deep Reinforcement Learning</h5>
<p>Use Reinforcement Learning algorithms like Q-Learning to train artificial agents to take optimal actions in an environment.</p>
<ul>
<li>
<strong>Module 01:</strong> Reinforcement Learning
<p>Reinforcement learning is a type of machine learning where the machine or software agent learns how to maximize its performance at a task.</p>
<ul>
<li><a href="DRL/The RL Framework The Problem/index.html"><strong>Lesson 01:</strong> The RL Framework: The Problem</a></li>
<li><a href="DRL/The RL Framework The Solution/index.html"><strong>Lesson 02:</strong> The RL Framework: The Solution</a></li>
<li><a href="DRL/Dynamic Programming/index.html"><strong>Lesson 03:</strong> Dynamic Programming</a></li>
<li><a href="DRL/Monte Carlo Methods/index.html"><strong>Lesson 04:</strong> Monte Carlo Methods</a></li>
<li><a href="DRL/Temporal-Difference Methods/index.html"><strong>Lesson 05:</strong> Temporal-Difference Methods</a></li>
</ul>
</li>
<br />
<li>
<strong>Module 02:</strong> Deep Reinforcement Learning
<p>Reinforcement learning is a type of machine learning where the machine or software agent learns how to maximize its performance at a task.</p>
<ul>
<li><a href="DRL/RL in Continuous Spaces/index.html"><strong>Lesson 06:</strong> RL in Continuous Spaces</a></li>
<li><a href="DRL/Deep Q-Learning/index.html"><strong>Lesson 07:</strong> Deep Q-Learning</a></li>
<li><a href="DRL/Policy-Based Methods/index.html"><strong>Lesson 08:</strong> Policy-Based Methods</a></li>
<li><a href="DRL/Actor-Critic Methods/index.html"><strong>Lesson 09:</strong> Actor-Critic Methods</a></li>
</ul>
</li>
</ul>
</div>
<!-- --- -->
<div>
<h5><strong>Part 02 :</strong> Localization and Mapping</h5>
<p></p>
<ul>
<li>
<strong>Module 01:</strong> <a href="Localization and Mapping/Localization/index.html">Localization</a>
<ul>
<li><strong>Concept 01:</strong> Introduction to Localization</li>
<li><strong>Concept 02:</strong> Kalman Filters</li>
<li><strong>Concept 03:</strong> Monte Carlo Localization</li>
</ul>
</li>
<br />
<li>
<strong>Module 02:</strong> <a href="Localization and Mapping/Mapping and SLAM/index.html">Mapping and SLAM</a>
<ul>
<li><strong>Concept 04:</strong> Introduction to Mapping and SLAM</li>
<li><strong>Concept 05:</strong> Occupancy Grid Mapping</li>
<li><strong>Concept 06:</strong> Grid-based FastSLAM</li>
<li><strong>Concept 07:</strong> GraphSLAM</li>
</ul>
</li>
</ul>
</div>
<div>
<h5><strong>Part 03 :</strong> Robot Kinematics</h5>
<p></p>
<ul>
<li>
<strong>Module 01:</strong> <a href="References/Kinematics/index.html">Prof. Angela Sodemann's Notes</a>
</li>
<!-- <br /> -->
</ul>
</div>
<div>
<h5><strong>Part 04 :</strong> Underactuated Robotics</h5>
<p>Algorithms for Walking, Running, Swimming, Flying, and Manipulation</p>
<ul>
<li>
<strong>Material 01:</strong> <a href="References/Underactuated Robotics/index.html">Prof. Russell Tedrake's Lecture Notes</a>
</li>
<li>
<strong>Material 02:</strong> <a href="https://underactuated.csail.mit.edu/">Prof. Russell Tedrake's Book</a>
</li>
<!-- <br /> -->
</ul>
</div>
<div>
<h5><strong>Part 05 :</strong> Statistics</h5>
<p>Lecture notes from Statistics 110, taught by Professor Joseph K. Blitzstein.</p>
<ul>
<li>
<strong>Material 01:</strong> <a href="References/Statistics/index.html">My Notes</a>
</li>
<li>
<strong>Material 02:</strong> <a href="References/Statistics/view-notes.html">Notes by Max Wang</a>
</li>
<li>
<strong>Material 03:</strong> <a href="https://archive.org/details/introduction-to-probability-joseph-k.-blitzstein-jessica-hwang/page/108/mode/2up">Book (Introduction To Probability) </a></li>
<!-- <br /> -->
</ul>
</div>
<div>
<h5><strong>Part 06 :</strong> Study Materials</h5>
<p></p>
<ul>
<li>
<strong>Topic 01:</strong> <a href="References/RoboticsArm/index.html">Robotics Arm</a>
</li>
<li>
<strong>Topic 02:</strong> <a href="References/Quadrupeds/index.html">Quadrupeds</a>
</li>
<li>
<strong>Topic 03:</strong> <a href="References/Exoskeletons/index.html">Exoskeletons</a>
</li>
<li>
<strong>Topic 04:</strong> <a href="References/AerialRobotics/index.html">Aerial Robotics</a>
</li>
<li>
<strong>Topic 05:</strong> <a href="References/MobileRobotics/index.html">Mobile Robotics</a>
</li>
</ul>
</div>
</div>
</div>
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