Broadcast Date: July 25, 2019

Level: 300

This tech talk showcases the capabilities of AWS RoboMaker to enhance the performance of an autonomous ground vehicle (AGV) to navigate an environment, identify objects, and learn new objects. We will demo these capabilities using the Nvidia Jetson Nano (Jetbot) navigating a Jurassic world environment to locate and identify various objects (dinosaurs). If an unknown dinosaur is detected, then a photo is sent to the cloud where AWS SageMaker is used to retrain a model that is then pushed to the Jetbot via AWS RoboMaker services. This showcases the ability to use RoboMaker and AWS services for any robotic or automation use case for which machine learning (ML), artificial intelligence (AI), in-field application updates, fleet management, OTA (over-the-air) code deployment, and object detection and recognition are important.

Learning Objectives

  • Introduction to AWS RoboMaker fleet management capabilities
  • Learn how to deploy machine learning models to the edge with AWS Greengrass
  • Experience RoboMaker's OTA capabilities to deploy real-time updates robotic application

Who Should Attend?

Enterprise Developers, Researchers, CxOs, Solution Architects


  • Jeremy Wallace, Sr. Solutions Architect, AWS

Learn More

To learn more about the services featured in this talk, please visit:

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