Diverse Data and Efficient Algorithms for Robot Learning
Massachusetts Institute of Technology via YouTube
Overview
Syllabus
Intro
Progress in Robotics
Success stories in Al
Key ingredients of learning
Learning for robotics
How to grasp objects?
Self-supervised grasping
Robot learning in the wild?
Robot learning in homes
Large scale robot learning
Rich history
Under the hood
Deformable Object Manipulation
Approach
Key Challenges
Solutions
Conditional Policy Learning with MVP
Real Robot Experiments
Why forward models?
Learning visual forward models
Learning predictive representations
Contrastive representations
Contrastive forward models
One step MPC
Quantitative evaluation
Taught by
MIT Embodied Intelligence