🏥 Don't teach robots inside hospitals - train the hospital in simulation first. Project Rheo is a new blueprint for Hospital Automation & Physical AI. See how you can help solve the data gap in healthcare robotics, helping make deployment scalable. ✅ GR00T VLA Models: Train Physical AI using Vision-Language-Action (VLA) architectures for intuitive, multi-modal robot control. ✅ Isaac Sim & Lab-Arena: Develop in high-fidelity digital twins to master complex loco-manipulation and precision bimanual tasks. ✅ Cosmos-H Synthetic Data: Scale training datasets exponentially with generative AI to bridge the domain gap between simulation and real-world hospitals. ✅ RL Post-Training: Use Reinforcement Learning (PPO) to refine high-precision stages, ensuring robust performance in chaotic clinical environments. #NVIDIAGTC
