<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Autonomous Robotics |</title><link>https://dimpleb0501.github.io/tags/autonomous-robotics/</link><atom:link href="https://dimpleb0501.github.io/tags/autonomous-robotics/index.xml" rel="self" type="application/rss+xml"/><description>Autonomous Robotics</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 20 Sep 2024 00:00:00 +0000</lastBuildDate><image><url>https://dimpleb0501.github.io/media/icon_hu_7c1d52d68da51ff9.png</url><title>Autonomous Robotics</title><link>https://dimpleb0501.github.io/tags/autonomous-robotics/</link></image><item><title>Encoder-Orientation Sensor Fusion for Ground Robot Navigation</title><link>https://dimpleb0501.github.io/projects/ground-robot/</link><pubDate>Fri, 20 Sep 2024 00:00:00 +0000</pubDate><guid>https://dimpleb0501.github.io/projects/ground-robot/</guid><description>&lt;p align='justify'&gt;
To achieve autonomous navigation for a ground robot, I worked on the development of:
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&lt;ul&gt;
&lt;li&gt;Encoder-based low-level controller developed with Raspberry Pi Pico.&lt;/li&gt;
&lt;li&gt;Sensor fusion for robot localization using wheel encoders and orientation sensors.&lt;/li&gt;
&lt;li&gt;Velocity controller design for LiDAR-based obstacle avoidance using NVIDIA Jetson Orin Nano.&lt;/li&gt;
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&lt;figure&gt;
&lt;img src="ground_robot.gif"
alt="Autonomous ground robot navigation"&gt;
&lt;figcaption&gt;Figure: Autonomous navigation and obstacle avoidance for ground robot&lt;/figcaption&gt;
&lt;/figure&gt;
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&lt;div style="float: right; margin-left: 1em; margin-top: -40px"&gt;
&lt;figure&gt;
&lt;img src="turtlebot.gif"
alt="TurtleBot obstacle avoidance"
width="300"&gt;
&lt;figcaption&gt;Figure 2: Obstacle avoidance with TurtleBot&lt;/figcaption&gt;
&lt;/figure&gt;
&lt;/div&gt;
&lt;div&gt;
&lt;p align='justify'&gt;
The aim of this project was to develop a prototype rover that could be
scaled for vineyard data collection. The velocity controller was also
tested on a TurtleBot to validate the obstacle avoidance performance.
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