Jeremy Wallace

This session explores how recent advancements in AI are evolving the Internet of Things (IoT) into an engine for real-world intelligence, autonomy, and actionable insights.

Training robots requires high-fidelity simulation, a multitude of scenes with domain randomization, and numerous simulation runs to develop robots that perform well in the real world. Tools like NVIDIA Isaac Sim, NVIDIA Omniverse Replicator, and NVIDIA TAO Toolkit provide realistic simulation environments but take time and effort to set up.

Developing for robotics platforms and scaling out deployments is made easier with AWS. In this workshop, you learn how to build a cloud-connected dancing robot using the NVIDIA JetBot development kit running Robot Operating System (ROS).

Operating and managing fleets of robots in the field can be a challenging task, from automated software updates and remote troubleshooting to orchestrating complex tasks and workflows. Companies often struggle to build reliable and scalable operations workflows to manage, monitor, and safely update robots as their fleet grows.

In this workshop, you learn how AWS AI services can be used with Robot Operating System (ROS) to build intelligence into your robots. You create a ROS application to identify objects and use AWS RoboMaker to simulate and test your robot software.