How does a robot move? How does a robot see? How does a robot learn? How to represent a robot? How to control a robot? How to estimate the state of a robot? How to design a robot? Too many questions, right? This repository provides a collection of Online Lectures and Lecture Notes. The design principle of those notes is to be concise, clear, and comprehensive, namely, less is more. Whether you're a beginner or looking to deepen your understanding, this resource aims to lay a solid foundation in robotics.
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Disclaimer: The notes may contain errors.
We stand up on the shoulders of giants. I deeply appreciate the online lectures, books, and papers. I will provide a comprehensive list of references soon. I want to thank the open-source community, which provides useful tools for note taking, such as Latex, NeoVim, and texpresso. I use figures from the internet for illustration purposes. However, I lost track of the sources of the figures. I didn't put the references in the notes also for the sake of simplicity. If you find your figures in my notes and want to be credited, please let me know. Finally, thanks Jiaxu for suggesting the nvim plugin texpresso, it is extremely useful.