From the source
A workflow for building a surgical assistant robot using NVIDIA Isaac for Healthcare v0.4, including data collection, training with GR00T N1.5, and deployment.
It highlights that over 93% of training data was synthetic.
Building a Healthcare Robot from Simulation to Deployment with NVIDIA Isaac
Developer tool
From the source
The SO-ARM starter workflow introduces a new way to explore surgical assistance tasks, and providing developers with a complete end-to-end pipeline for autonomous surgical assistance: Collect real-world and synthetic data with SO-ARM using the LeRobot, Fine-tune GR00t N1.5, evaluate in IsaacLab, then deploy to hardware
huggingface.co
