06 January 2023
With Isaac Sim, it is possible to easily import the robot model of choice and build realistic environments to validate its physical design and fully exercise its software stack to ensure performance. Additionally, synthetic datasets can be generated during simulation to train the robot's AI models used in the robot’s perception systems. Researchers can leverage the reinforcement learning API to train models in the robots control stack.Accessible from the cloud, Isaac Sim can be used by cross-functional teams located across the world and can be used on any device with a web-browser. The latest version is focused on improving performance and functionality for manufacturing and logistics robotics use cases. Adding people and complex conveyor systems to the simulation environments is now supported. More assets and popular robots are pre-integrated to reduce the time until simulation.
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