AI Robotics Revolution
Ted discusses the potential of foundation models in improving robotics interfaces and the challenges in making actions learnable. Keerthana explores the unique challenges of embodiment problems and the need to increase the bandwidth between robot and internet foundation models. Discussions delve into scaling robotic capabilities and the amount of data required for physical motion level reasoning.In this clip
From this podcast
The Cognitive Revolution: How AI Changes Everything
Robotics Research Update, with Keerthana Gopalakrishnan and Ted Xiao of Google DeepMind
Related Questions
Is the basic pattern of learning in the episode Robotics Research Update, with Keerthana Gopalakrishnan and Ted Xiao of Google DeepMind and the clip Teachability Revolution - fast repetitions, slow down for refinement, and then possibly speed up again for repetition including refinement?
Can AI learn from feedback like humans in the episode 'Robotics Research Update' with Keerthana Gopalakrishnan and Ted Xiao of Google DeepMind and the clip 'Rapid Learning Feedback Loop'?
Can AI learn from feedback like humans in the episode Robotics Research Update, with Keerthana Gopalakrishnan and Ted Xiao of Google DeepMind, and the clip Rapid Learning Feedback Loop?