Real-World Robotics
Exploring the challenges of transitioning from simulation to real-world applications, Jonas emphasizes the importance of rigorous testing to ensure models perform as expected. He highlights the complexities of collision detection in robotics and introduces the concept of "robots as a service," a system that allows users to run algorithms on physical robots while managing the intricacies of real-time environments.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Robotics at OpenAI with Jonas Schneider - #76
Related Questions
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?
How is machine learning used in robots?