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acknowledgement

Thank You !

To all the educators cited in this page. Your dedication to sharing knowledge, developing open-source tools, and creating educational content has made a profound impact on learners and robotics enthusiasts around the world.


Your contributions—whether in the form of open-source software, detailed tutorials, or insightful video lectures—serve as a cornerstone of innovation and learning in the robotics community. 


By sharing your expertise and passion, you empower countless individuals to explore, build, and excel in this exciting field.

We at The Robo Academy are honored to feature and learn from your resources, and we remain committed to promoting the ethos of open knowledge and collaborative growth that you exemplify. 


Thank you for inspiring us all.


Sincerely,
The Robo Academy Team

Introduction to robotics

Introduction to Robotics

Paul McWhorter. (2020, June 11). Robotics Training. YouTube. 

Introduction to Math for Robotics

UMRobotics. (2022, January 26). YouTube.

Introduction to Computer Vision

MIT OpenCourseWare. (2022, June 8). Youtube.

Introduction to Sensor Fusion

MATLAB. (2019, October 21). Youtube.

Introduction to Filtering in Robotics

Rlabbe. (n.d.-b). GitHub

Introduction to SLAM in Robotics

Saeed Saeedvand. (2023, March 9).

ros2 resources

ROS2 Humble for Beginners

Robotics Back-End. (2022, August 15). Youtube. 

ROS2 Nav2 - Navigation Stack in 1 Hour

Robotics Back-End. (2022, August 15). Youtube. 

AI resources

Machine Learning

Stanford CS229. Andrew NG. Youtube

Robotics: Crash Course AI

CrashCourse. Youtube

Probabilistic Artificial Intelligence

Andreas Krause, Jonas Hübotter, ETH Zurich

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Disclaimer : This is a totally not-for-profit website with only open source content, please do not pay for any content on this website. 


Credits for the website header video :

Walk, Run, Crawl, RL Fun | Boston Dynamics | Robotics and AI Institute | Atlas

https://www.youtube.com/watch?v=I44_zbEwz_w

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