Challenges in Robotics
Lukas and Brandon discuss the challenges in robotics, highlighting the need for vast amounts of data and the benefits of simulating data for training robots. They delve into the complexities of keeping physical robots operational and the advantages of using simulations to generate training data, despite potential pitfalls in the process.In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Brandon Rohrer — Machine Learning in Production for Robots
Related Questions
How is machine learning used in robots?
Why is realistic training important in the context of the episode Sergey Levine: Robotics and Machine Learning | Lex Fridman Podcast #108 and the clip Simulation in Learning?
Why is realistic training important in the context of the episode Sergey Levine: Robotics and Machine Learning | Lex Fridman Podcast #108 and the clip Simulation in Learning?