A curated list of robotics resources including courses, books, software, conferences, journals, competitions, and companies.
Awesome Robotics is a curated GitHub repository that aggregates high-quality resources for learning and working in robotics. It includes courses, books, software libraries, conferences, journals, competitions, and company information to help individuals navigate the robotics ecosystem. The list is community-maintained and aims to be a one-stop reference for both beginners and experienced practitioners.
Students, researchers, hobbyists, and professionals interested in robotics who want to discover educational materials, tools, and industry insights. It's particularly useful for those new to the field seeking structured learning paths or experienced developers looking for specialized libraries and frameworks.
It saves time by filtering and organizing scattered robotics resources into a single, well-structured list. Unlike generic searches, it provides vetted, high-quality links and covers a broad spectrum from academic courses to practical software tools, all maintained by the community.
A list of awesome Robotics resources
Covers everything from academic courses on edX and Coursera to practical software like ROS and Gazebo, providing a holistic view of the robotics field as seen in the organized sections.
Maintained as an awesome-list with a badge indicating adherence to quality standards, ensuring regular contributions and updates from the open-source community.
Resources are categorized into sections like Courses, Books, and Software, making it easy to navigate based on specific interests or needs without clutter.
Many resources are free, and paid ones are clearly marked with dollar signs in the list, helping users manage costs and access levels effectively.
The list aggregates links without active reviews, ratings, or quality assessments, so users must independently verify the relevance and currency of each resource.
While comprehensive, it lacks a recommended starting point or learning path, which can overwhelm newcomers trying to navigate the vast array of options.
As a static GitHub repository, links may break or resources become outdated over time without frequent maintenance checks, common in curated lists.
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome computer vision resources
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.