Chapter
The Hardest Problem in Robotics According to Pieter Abbeel
21:43 - 27:46 (06:03)
Pieter Abbeel discusses the challenges of combining perception and control in robotics and how he believes treating them together produces better results than trying to separate them.
Clips
In 2014, the concept of combining perception and control using end-to-end reinforcement learning for robotic manipulation skills from vision was considered controversial in the robotics world but proved to be effective.
21:43 - 25:07 (03:24)
Summary
In 2014, the concept of combining perception and control using end-to-end reinforcement learning for robotic manipulation skills from vision was considered controversial in the robotics world but proved to be effective.
ChapterThe Hardest Problem in Robotics According to Pieter Abbeel
Episode#108 – Sergey Levine: Robotics and Machine Learning
PodcastLex Fridman Podcast
Combining intensity mapping with pose detection can lead to better trade-off of errors in perception and control, resulting in better performance with weaker components.
25:07 - 26:17 (01:10)
Summary
Combining intensity mapping with pose detection can lead to better trade-off of errors in perception and control, resulting in better performance with weaker components.
ChapterThe Hardest Problem in Robotics According to Pieter Abbeel
Episode#108 – Sergey Levine: Robotics and Machine Learning
PodcastLex Fridman Podcast
The gaze heuristic is a simple trick used to intercept a flying object, demonstrating the beauty of solving complex problems in a simplified manner.
26:17 - 27:46 (01:28)
Summary
The gaze heuristic is a simple trick used to intercept a flying object, demonstrating the beauty of solving complex problems in a simplified manner. This concept has inspired similar approaches in robotics to find solutions to problems in a more efficient and practical way.