Chapter
Use of Deep Learning in Understanding Physical Systems
2:13:11 - 2:18:35 (05:24)
The use of deep learning systems to analyze physical systems such as onions or cars produces a high-dimensional state representation that is relevant for understanding the state of the system.
Clips
This podcast discusses the use of perception systems, specifically cameras, in robotics, including the challenges of creating a full state estimate of an object and the alternatives to using LiDAR.
2:13:11 - 2:15:34 (02:22)
Perception Systems
Summary
This podcast discusses the use of perception systems, specifically cameras, in robotics, including the challenges of creating a full state estimate of an object and the alternatives to using LiDAR.
ChapterUse of Deep Learning in Understanding Physical Systems
Episode#114 – Russ Tedrake: Underactuated Robotics, Control, Dynamics and Touch
PodcastLex Fridman Podcast
The guest discusses the high dimensional state representation and proper Lagrangian state of onion pieces and how they apply to under actuated systems in machine learning and the world in general.
2:15:34 - 2:18:35 (03:01)
Machine Learning
Summary
The guest discusses the high dimensional state representation and proper Lagrangian state of onion pieces and how they apply to under actuated systems in machine learning and the world in general.