Vision-Language-Action Agents

• Natural Language Transformers
• Vision Tranformers
• VLA model architectures (RT-1, RT-2, SayCan, etc.)
• Pretraining and grounding techniques
• Policy learning via imitation
• Sim2Real Transfer for VLA Agents
  • Vision adaptation
  • Policy robustness
  • Deployment case studies