Self-Driving Cars with Duckietown (Training)

AI-ML colleagues, The first robotics and AI MOOC with scale-model self-driving cars. Learn state-of-the-art autonomy with your own real robot (Duckiebot). Self-driving cars with Duckietown is a practical introduction to vehicle autonomy. It explores real-world solutions to the theoretical challenges of automation, including their implementation in algorithms and their deployment in simulation as well as on hardware. Using modern software architectures built with Python, Robot Operating System (ROS) and Docker, you will appreciate the complementary strengths of classical architectures and modern machine learning-based approaches. The scope of this introductory course is to go from zero to having a self-driving car safely driving on a road. This course is presented by Professors and Scientists who are passionate about robotics and accessible education. It uses the Duckietown robotic ecosystem, an open-source platform created at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and now used in over 80 universities worldwide. After this course you will be able to program your Duckiebots to navigate (without accidents!) in road lanes of a model city with rubber-duckies-pedestrians-obstacles using predominantly computer vision based techniques. 

Enroll today (individuals & teams welcome): https://fxo.co/BVR9  

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy