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Robotics Projects

Explore Robotics with Earthrover. Learn to build a simple robotic platform and step by step enrich it with advanced functionalities.

Basic
Robot
Javascript
Robotics
AI ML
Robotics
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Replicate robot software on Raspberry Pi
Replicate Robot Software: Install the complete Earthrover Robot software on your Raspberry Pi using the bash script introduced in this article. The bash script will install a Webserver, Tensorflow Lite & Coral Coral USB Accelerator Libraries, OpenCV and Robot software with AI functions such as Object Detection / Image classification with relevant ML models on your Raspberry Pi. All you need is a Raspberry Pi and a Picamera to embark this learning journey.
Human Following Raspberry Pi Robot - AI Robotics
Human Following Robot: The robot uses Object Detection ML model to detect a person in the camera frame. The model provides coordinate information of the person in the frame. The fun part is to write a Python code to use this information and move the robot in order to bring the person in the center of the frame. What you get as a result is a Human Following Robot. You will be amazed and satisfied when your robot follows you like a loving pet.
Compass Robot - Use your mobile as compass for this robot
Javascript Compass for Robot : This project demonstrate how you can use a mobile phone as a compass and use it to control the robot’s direction precisely. The compass is created using javascript. Once the web page is loaded on the mobile browser, it captures the compass value and sends it to server.
Camera Robot using Raspberry Pi
Camera Robot Raspberry Pi: Build a Raspberry Pi based Camera Robot and control it through a custom designed Web Control Panel. Access the streamed video on the Web control panel. Article also covers the details of interfacing 12 V high brightness LEDs with GPIO pins through NPN transistor BC 547.
Object Tracking with Raspberry Pi and Tensorflow Lite
Object Tracking Robot: Learn how to use an Object Detection Model on a Raspberry Pi to track a particular object of interest. Monitor the Robot's eye view on a browser and the whole tracking process in action by streaming the camera frame over the LAN using OpenCV and Flask. Learn to use Google Coral Accelerator to make the inferencing fast enough for Tracking requirements.
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Install Earthrover's Software on your Raspberry Pi.
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