Generative AI and Foundation Models for Autonomous Machines
Generative AI and foundation models let autonomous machines generalize beyond the operational design domains on which they’ve been trained. Using new AI techniques such as tokenization and large language and diffusion models, developers and researchers can now address longstanding hurdles to autonomy.
Challenges in Training and Validation
These larger models require massive amounts of diverse data for training, fine-tuning, and validation. But collecting such data — including from rare edge cases and potentially hazardous scenarios, like a pedestrian crossing in front of an autonomous vehicle (AV) at night or a human entering a welding robot work cell — can be incredibly difficult and resource-intensive.
NVIDIA Omniverse Cloud Sensor RTX APIs
To help developers fill this gap, NVIDIA Omniverse Cloud Sensor RTX APIs enable physically accurate sensor simulation for generating datasets at scale. The application programming interfaces (APIs) are designed to support sensors commonly used for autonomy — including cameras, radar, and lidar — and can integrate seamlessly into existing workflows to accelerate the development of autonomous vehicles and robots of every kind.
Powering Industrial AI with Omniverse Blueprints
In complex environments like factories and warehouses, robots must be orchestrated to safely and efficiently work alongside machinery and human workers. Mega is an Omniverse Blueprint that offers enterprises a reference architecture of NVIDIA accelerated computing, AI, NVIDIA Isaac, and NVIDIA Omniverse technologies. Enterprises can use it to develop digital twins and test AI-powered robot brains that drive robots, cameras, equipment, and more to handle enormous complexity and scale.
Integrating Omniverse Sensor RTX
The blueprint lets robotics developers simultaneously render sensor data from any type of intelligent machine in a factory for high-fidelity, large-scale sensor simulation. With the ability to test operations and workflows in simulation, manufacturers can save considerable time and investment and improve efficiency in entirely new ways.
International Supply Chain Solutions
International supply chain solutions company KION Group and Accenture are using the Mega blueprint to build Omniverse digital twins that serve as virtual training and testing environments for industrial AI’s robot brains, tapping into data from smart cameras, forklifts, robotic equipment, and digital humans.
Driving AV Development and Validation
Autonomous vehicles have been under development for over a decade, but barriers in acquiring the right training and validation data and slow iteration cycles have hindered large-scale deployment. To address this need for sensor data, companies are harnessing the NVIDIA Omniverse Blueprint for AV simulation, a reference workflow that enables physically accurate sensor simulation. The workflow uses Omniverse Sensor RTX APIs to render the camera, radar, and lidar data necessary for AV development and validation.
Conclusion
The future of robotics and autonomy is coming into sharp focus, thanks to the power of high-fidelity sensor simulation. With NVIDIA Omniverse Cloud Sensor RTX APIs, developers can now generate massive datasets for training and validation, and with Omniverse Blueprints, they can test and validate their solutions in a simulated environment. The possibilities are vast, and the future is bright.
FAQs
Q: What are NVIDIA Omniverse Cloud Sensor RTX APIs?
A: NVIDIA Omniverse Cloud Sensor RTX APIs enable physically accurate sensor simulation for generating datasets at scale, supporting sensors commonly used for autonomy, including cameras, radar, and lidar.
Q: How can I access NVIDIA Omniverse Cloud Sensor RTX APIs?
A: NVIDIA Omniverse Cloud Sensor RTX APIs are now available to select developers in early access.
Q: What is the Mega Blueprint?
A: Mega is an Omniverse Blueprint that offers enterprises a reference architecture of NVIDIA accelerated computing, AI, NVIDIA Isaac, and NVIDIA Omniverse technologies, allowing them to develop digital twins and test AI-powered robot brains.
Q: How can I learn more about NVIDIA’s solutions for autonomous vehicles and robotics?
A: Learn more about NVIDIA’s solutions for autonomous vehicles and robotics by visiting Accenture at Ballroom F at the Venetian and Foretellix booth 4016 in the West Hall of Las Vegas Convention Center.
