Enhancing Robotic Perception: Synthetic Data Generation using Omniverse Replicator


29 min



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.

Key Takeaways

  • Why Synthetic Data is Important
  • Synthetic Data Use Cases using NVIDIA Omniverse Replicator in Robotics
  • General Methodology of Synthetic Data Generation

Our speakers:

Lyubomyr Demkiv

Lyubomyr Demkiv, Robotics Practice Leader

Lyubomyr Demkiv, Phd. Sci., Sc.D. Eng. is Head of the Robotics and Advanced Automation Group at SoftServe. Lyubomyr has over 19 years of expertise in research and industrial development. He was Co-Director of the NATO Science for Peace and Security program devoted to increasing off-road electrical vehicle mobility. Lyubomyr is a co-author of 50+ scientific papers.

Markiian Matsiuk

Markiian Matsiuk, Robotics Expert

Markiian Matsiuk, Ms.Sc. is Robotics Expert at SoftServe. Markiian has experience in different robotics fields, including UAV, UGV. Markiian has particular experience in Computer Vision on wide variety of projects e.g. Agriculture, Manufacturing. Also Markiian, was part of the Gold winning team of MBZIRC Robotics Competition.

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