Бесплатный учебный план по информатике для самостоятельного обучения: онлайн-курсы и книги, разбитые на вводный, основной и углублённый этапы.
mithi/robotics-coursework
A curated, bilingual-tagged list of online robotics courses, university lectures, books and hands-on resources for self-learners.
- Звёзды
- 5,335
- Форки
- 807
- Открытые issues
- 2
- Последний коммит
- 2 месяца назад
Что это?
This is a curated directory of places to learn robotics online. It groups links to MOOCs on Coursera, edX and Udacity, university lecture series from institutions such as MIT, Stanford, ETH Zurich and Penn, and free textbooks and video channels. Entries are tagged to mark fundamentals, paid courses, video content and the maintainer's personal picks.
Beyond formal courses, the list covers hands-on projects and blogs on topics like drones, autonomous racing, quadruped and hexapod robots, plus reference material on Kalman filters, control systems, machine learning and CAD tools. A section of awesome-lists and maker sites such as Adafruit, Hackster and Thingiverse points to further projects and parts.
The repository is a link collection rather than software. It suits students and self-taught engineers who want a structured starting point and a wide range of follow-up resources.
Ключевые возможности
- 01Links to robotics courses from Coursera, edX, Udacity and MIT OpenCourseWare
- 02University lecture series and free textbooks such as Tedrake's Underactuated Robotics
- 03Coverage of aerial, self-driving, manipulation and quadruped robotics
- 04Reference links for Kalman filters, control systems and ROS programming
- 05Tags distinguishing free resources, paid courses and video content
Сценарии использования
- Choosing a structured robotics curriculum as a self-taught learner
- Finding university lecture videos on SLAM, manipulation or aerial robotics
- Locating beginner hardware and hobby robot projects to build
- Browsing supplementary resources on control theory and machine learning for robots
Темы
Частые вопросы
- Что такое robotics-coursework?
- A curated, bilingual-tagged list of online robotics courses, university lectures, books and hands-on resources for self-learners. This is a curated directory of places to learn robotics online. It groups links to MOOCs on Coursera, edX and Udacity, university lecture series from institutions such as MIT, Stanford, ETH Zurich and Penn, and free textbooks and video channels. Entries are tagged to mark fundamentals, paid courses, video content and the maintainer's personal picks.
- robotics-coursework можно использовать бесплатно? Какая у него лицензия?
- robotics-coursework распространяется с открытым исходным кодом под лицензией Unlicense. Перед использованием в коммерческих продуктах проверьте условия лицензии.
- robotics-coursework всё ещё поддерживается?
- Обновлялся за последние 6 месяцев. Последний коммит в robotics-coursework — 31 авг. 2026 г..
- Для чего можно использовать robotics-coursework?
- Choosing a structured robotics curriculum as a self-taught learner Finding university lecture videos on SLAM, manipulation or aerial robotics Locating beginner hardware and hobby robot projects to build Browsing supplementary resources on control theory and machine learning for robots
- Где скачать robotics-coursework?
- Исходный код и инструкции по установке — на GitHub: https://github.com/mithi/robotics-coursework
Описание создано ИИ на основе README проекта. Статистика GitHub обновляется ежедневно.
Похожие проекты
A curated awesome-list of robotics books, courses, simulators, software libraries, conferences, journals and competitions.
A local-first AI tutor that builds curricula and grades your handwritten pen-and-paper work, using a camera over your desk.
Приложение Enjoy для изучения английского с помощью ИИ: тренируйтесь на собственных видео, аудио и электронных книгах в веб-версии или через расширение для браузера.
A TypeScript English-learning app that teaches grammar and vocabulary by having you build sentences with conjunctions.
A 12-chapter, commented tutorial that walks you through building and training a small LLaMA-style GPT from scratch in Python and PyTorch.