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Case Study: Berkeley AI Research in Manipulation

Summary​

UC Berkeley's BAIR lab has made groundbreaking contributions to robotic manipulation through learning from demonstration, visual imitation learning, and foundation models for robotics.

Key Contributions​

  1. RT-1/RT-2: Robotics transformer models
  2. DAGGER: Iterative learning from demonstrations
  3. Visual Imitation: Learning manipulation from video
  • Module 07: Manipulation
  • Module 11: Learning-Based Control
  • Module 12: Human-Robot Interaction

Current as of: December 2024