How to Build a Healthcare Robot from Simulation to Deployment with NVIDIA Isaac for Healthcare

Building a Healthcare Robot from Simulation to Deployment with NVIDIA Isaac

NVIDIA Cosmos-H-Dreams: Bringing Real-Time Generative Simulation to Surgical Robotics

NVIDIA's GTC 2025 Announcement for Physical AI Developers: New Open Models and Datasets

EVIS: A Physics-Grounded Event Camera Plugin for NVIDIA Isaac Sim

Event cameras offer microsecond temporal resolution, low latency, and high dynamic range, making them attractive for robotics. However, labeled event-camera data for a specific robot and scene is scarce and expensive to collect, which slows the development of event-based perception and control.

Horizon 1000: Advancing AI for primary healthcare

OpenAI and the Gates Foundation launch Horizon 1000, a $50M pilot advancing AI capabilities for healthcare in Africa. The initiative aims to reach 1,000 clinics by 2028.

Roboschool

We are releasing Roboschool: open-source software for robot simulation, integrated with OpenAI Gym.

BioVLN: A Simulation Platform for Visual Language Navigation in Biomedical Laboratories

arXiv:2607. 26914v1 Announce Type: cross Abstract: Biomedical laboratory robots must navigate to instruments before performing experimental procedures.

Towards Next-Generation Healthcare: A Survey of Medical Embodied AI for Perception, Decision-Making, and Action

arXiv:2606. 15647v1 Announce Type: new Abstract: Foundation models have demonstrated impressive performance in enhancing healthcare efficiency across a wide range of medical applications.

MedGemma: Our most capable open models for health AI development

We’re announcing new multimodal models in the MedGemma collection, our most capable open models for health AI development.

Reachy Mini - The Open-Source Robot for Today's and Tomorrow's AI Builders

Introducing HealthBench

HealthBench is a new evaluation benchmark for AI in healthcare which evaluates models in realistic scenarios. Built with input from 250+ physicians, it aims to provide a shared standard for model performance and safety in health.

Isaac Sim-to-Real: Reinforcement Learning based Locomotion for Quadrupeds

arXiv:2607. 18135v1 Announce Type: cross Abstract: Learning-based approaches to locomotion have risen in popularity in recent years, showing the capability for complex legged locomotion and whole-body control.