Explore the cutting-edge world of AI and robotics in this insightful 33-minute video featuring a conversation between Stanford University's Professor Chelsea Finn and Andrew Ng. Delve into topics such as career choices in robotics, current capabilities and challenges in the field, making robots more robust, reinforcement learning applications, and simulating real-world environments. Gain valuable insights into working in a robotics lab, end-to-end robotics, and reinforcement learning. Discover an exciting vision for the future of robotics and learn how to enter this dynamic field. Perfect for aspiring AI and robotics professionals or anyone interested in the latest developments in these transformative technologies.
Overview
Syllabus
Introduction
How Chelsea Choose Her Career
What is doable in the field of robotics?
What questions should people ask themselves when they see robots?
How can we make robots more robust?
Reinforcement learning and playing video games
Robots simulating the real-world
How can robots be trained to do challenging things?
What is it like to work in a robotics lab?
End-to-End Robotics & Reinforcement Learning
Exciting Vision for the future of Robotics
How to get into robotics and reinforcement learning?
Taught by
Stanford Online
