CES 2023: Nvidia’s robot simulator now includes human characters

Nvidia has announced updates to its robotics simulation tools that will allow companies to build and test virtual robots in a variety of realistic environments and operating conditions, all securely in a cloud environment.

Revealed at CES, improvements to my isaacNvidia’s suite of robotics simulation tools includes the ability to simulate human behavior in environments such as warehouses or manufacturing plants to help collaborative robots (cobots) or autonomous mobile robots understand and identify common behaviors and obstacles. likely to face in the real world. .

According to Nvidia, improvements to the robotics platform will accelerate the development and deployment of autonomous robots by making it easier to develop, validate and deploy the artificial intelligence (AI) that powers them, ensuring they can operate successfully and safe in different environments.

“Simulation is the core technology that will enable the development of complex software systems that will power the next wave of smarter and more autonomous robots. In simulation, virtual robots have a proving ground for their complex software stacks and myriad AI models,” says Gerard Andrews, senior product manager at Nvidia.

Accuracy and security

By adding simulations of human behavior and interaction in environments, such as picking up and moving objects, pushing carts, and moving to new places, it is possible to test how the addition of robots to the environment can develop without endangering humans.

Common events—such as humans interacting with industrial environments or moving through a warehouse—and less common events—such as unexpected emergencies and other scenarios—can be simulated to help build robots that can react in ways that different. appropriately for situations in sometimes very busy environments.

To this end, using Nvidia RTX technology, Isaac Sim has improved sensor support, allowing it to deliver physically accurate data from real-time sensors, including ray tracing to provide sensor data. more accurate in different lighting conditions or in response to reflective materials.

This allows simulated worlds to be based on physically accurate sensor models, minimizing differences between the simulation and the real environment to ensure robots are trained as accurately as possible.

Virtual robots accessible in the cloud

The new version of Isaac Sim also offers many new simulation-ready 3D assets – including stock parts and familiar robots, so developers and users can quickly start building.

Built on Nvidia Omniverse, the company’s platform for building and running applications from the metaverse, Isaac Sim is accessible through the cloud, giving teams working on robotics projects the ability to collaborate with accessibility, agility and scalability to test and train virtual robots.

“With its access to the cloud and its extensive set of photorealistic and physically accurate simulation capabilities, Isaac Sim is poised to create new methodologies for developing intelligent robots,” said Gerard Andrews.

Source: ZDNet.com

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