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Nvidia’s Simulation of Isaac Sim is Unveiled at CES 2023

Written By : Preethi Cheguri

At the international annual tech show, CES 2023, Nvidia's simulation of Isaac Sim is unveiled

Nvidia's simulation of Isaac Sim is unveiled at CES 2023. The Consumer Electronics Show, a showcase for the newest and best in consumer electronics, is ready to get underway in Las Vegas. Nvidia has long been a fixture at the event, first through its gaming division but later expanding into industries like autonomous driving and artificial intelligence. Nvidia revealed the most recent version of Isaac Sim, a simulation tool for creating and testing robots with artificial intelligence. Developers and academics may train AI robots for various activities and use cases across many industries using Isaac Sim.

On Nvidia's main computing platform, Omniverse, which supports digital twins and photorealistic 3D simulations, the programme Isaac Sim operates. Many Nvidia applications, including DRIVE Sim for developing autonomous vehicles, are powered by Omniverse. But Isaac was created especially for robotics. Several components for developing AI-based robots are included in the Isaac toolbox.

Key benefits of Isaac Sim:

  • Isaac Sim makes the most of the potent simulation capabilities available on the Omniverse platform in his realistic simulation. These include photorealism with real-time ray and path tracing, powerful GPU-enabled physics simulation with NVIDIA PhysX 5, and MDL material definition support for physically based rendering.
  • No simulator can handle every issue in robotics simulation, yet modular architecture can be used for a variety of applications. However, Isaac Sim is designed to handle many of the most typical use cases, such as manipulation, navigation, and the creation of artificial data for training purposes. The tool may be modified and expanded to numerous new use cases because of its modular nature.
  • Isaac Sim benefits from Omniverse Nucleus and Omniverse Connectors with NVIDIA Omniverse, which allows for collaboratively creating, sharing, and importing environments and robot models in USD. Now, the Isaac ROS/ROS2 interface, fully-featured Python scripting, and plug-ins for importing robot and environment models make it simple to connect the robot's brain to a virtual world.

Strong AI-Driven Robotics Capabilities:

People and their typical behaviours must be included in simulations since humans and collaborative robots or autonomous mobile robots (AMRs) are working together more frequently. With Isaac Sim's new "people simulation" feature, human actors may be added to a warehouse or production line and given the responsibility of carrying out typical actions like stacking goods or pushing carts. The majority of the most typical behaviours are already covered, thus emulating them only requires that you provide a command.

Physically correct sensor models are crucial for reducing the discrepancy between findings seen in a simulated environment and those seen in the real world. Isaac Sim can now display physically correct sensor data in real-time thanks to NVIDIA RTX technology. Ray tracing offers more precise sensor data for an RTX-simulated lidar under varying lighting situations or in reaction to reflecting materials.

Additionally, Isaac Sim offers a tonne of fresh 3D assets that are simulation-ready and essential for creating realistic virtual worlds. Developers and consumers can get right to constructing because everything, from warehouse components to well-known robots, is ready to use. Recent developments in Isaac Gym for reinforcement learning and Isaac Cortex for collaborative robot programming provide significant new capabilities for robotics researchers. Furthermore, a brand-new tool called Isaac ORBIT offers benchmarks and simulation operating environments for robot learning and motion planning.

Conclusion: Robotics is here to stay, and it will have a big impact on society since they can handle risky jobs and redundant chores that people aren't very good at. They can help the disabled and safeguard us. Robot training has never been simple, but Nvidia has made it easier by offering a complete turnkey set of tools to do so.

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