Enhancing Robotic Perception: Synthetic Data Generation using Omniverse Replicator
Speakers will discuss the usage of the NVIDIA Omniverse Replicator in the Robotics pipeline. They will showcase the usage of Replicator in a few projects in the agriculture, manufacturing, automotive, and space fields of robotics, as well as discuss the benefits and limitations of using synthetic data generation in robotics.
Learn from our Robotic Practice Leader, Lyubomyr Demkiv, Sc.D., Ph.D. and Robotic Engineer, Markiian Matsiuk the usage of the NVIDIA Omniverse Replicator in projects such as Agriculture, Manufacturing, Automotive, and Space fields of robotics; and how synthetic data is used to train a model allowing for more accurate and efficient robots.
- Why Synthetic Data is Important
- Synthetic Data Use Cases using NVIDIA Omniverse Replicator in Robotics
- General Methodology of Synthetic Data Generation
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