Hello, and welcome! In this post, I’ll be sharing what I’m currently working on—the ML Rover. This project involves building AI models for my Mars rover (Adeept Picar-B), combining machine learning with robotics for an exciting challenge! We are now up to day so consider this the weekly post.

As of writing this post, the AI models for my Adeept Picar-B are still a work in progress—I only recently started working on them after finishing Mindful just a few days ago. Before diving into a new model, I like to take a methodical approach. I keep a small notebook where I jot down notes on various types of AI models.

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Before starting a new project, I usually research the model, add relevant information to my notebook, and, if necessary, revisit my existing notes. Sometimes I already have a solid foundation, but I’ll often dig deeper to get a better understanding and add new insights. This way, when I begin building the model, I’m not starting from scratch and have a clearer idea of what I’m doing. For example, the first model I’m building is a CNN (Convolutional Neural Network), so I researched what a CNN is and added the key details to my notebook. When working on the PyTorch models, I often refer to my notes in Org mode, which were created with the help of the PyTorch courses I took last year. This process helps me stay organized and ensures I’m well-prepared before I start coding!

The rover I’ll be using for this project is the Adeept Picar-B, which I built a few years ago with help from my dad. I want to take a moment to say that my dad has been an incredible support throughout my coding journey. He taught me how to code when I was younger, and without his guidance and encouragement, I wouldn’t be where I am today. So, a huge thank you to my dad!