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Synthetic Data Generation for Perception Model Training in Isaac Sim

 

13 Mar 2025, Thursday2:00 PM - 3:00 PM (GMT +8:00) Kuala Lumpur, Singapore

 

32 Carpenter Street, 059911

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Overview

In this course, you will learn how to train and deploy a perception model using synthetic data generation (SDG) for dynamic robotic tasks. 

You will analyze the role of perception models, use simulation for SDG, apply domain randomization techniques, and evaluate the effectiveness of a trained model. Through hands-on exercises, you will generate synthetic data, learn how to train a custom AI perception model, and integrate it into a robotic workflow. 

This course is designed for students familiar with robotics and Isaac Sim, as well as users interested in applying SDG to various robotic disciplines. 

By the end of this course, you will have the skills to develop and deploy robust perception models for real-world robotic applications.

Course Description & Learning Outcomes

  • Analyze the role of perception models in dynamic robotic tasks.

  • Apply domain randomization with Replicator to generate synthetic data.

  • Evaluate the effectiveness of a trained AI perception model.

  • Use a workflow for training and deploying a perception model using SDG.

Schedule

Date: 13 Mar 2025, Thursday
Time: 2:00 PM - 3:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: 32 Carpenter Street, 059911

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