Introduction-to-Autonomous-Robots / Introduction-to-Autonomous-Robots

2013-11-15 · Source: Github Trending: All languages · Field: Technology & Digital — Robotics & Autonomous Systems, Artificial Intelligence & Machine Learning · Depth: Intermediate, quick

Summary

The "Introduction to Autonomous Robots: Mechanisms, Sensors, Actuators, and Algorithms" is an open textbook by Nikolaus Correll, Bradley Hayes, Christoffer Heckman, and Alessandro Roncone, published by MIT Press in 2022. It focuses on the computational principles of autonomous robots, covering mechanisms, sensors, actuators, and algorithms. While the print version is copyrighted by MIT Press and available on Amazon, its source code is released under Creative Commons 4.0 (CC-BY-NC-ND), permitting non-commercial use and teaching with proper attribution, but prohibiting online distribution of compiled versions. Readers can compile their own PDF using a LaTeX installation with `pdflatex` and `bibtex`, along with ImageMagick, or via Overleaf by uploading the source code ZIP or importing from GitHub. The LaTeX compilation involves multiple `pdflatex` runs to resolve cross-references.

Key takeaway

For AI students or educators seeking a comprehensive resource on autonomous robots, this textbook offers a unique access model. While the print version is copyrighted, you can compile your own PDF from the open-source content for personal, non-commercial use, including teaching. This allows you to access the full text without purchase, provided you attribute the authors. Consider using Overleaf or a local LaTeX installation to generate your copy.

Key insights

The textbook "Introduction to Autonomous Robots" offers open-source computational principles for robots, allowing self-compilation despite print copyright.

Principles

• Open-source content can coexist with copyrighted print.
• Self-compilation enables personal PDF access.
• Proper attribution is required for CC-BY-NC-ND.

Method

To compile the book's PDF: use `pdflatex -interaction=nonstopmode book.tex`, then `bibtex book`, followed by two more `pdflatex` runs. Alternatively, upload the source ZIP to Overleaf.

In practice

• Compile your own PDF for offline access.
• Use book images for non-commercial teaching.
• Cite the book using the provided BibTeX.

Topics

• Autonomous Robots
• Robotics Education
• LaTeX Compilation
• Open-Source Textbooks
• Creative Commons Licensing
• Computational Principles

Best for: Robotics Engineer, AI Student, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Github Trending: All languages.