Matt Bollinger

Almost everyone has experienced a bad IT day, when systems fail in unpredictable ways. For organizations operating in a humanitarian crisis, contextual continuity is mission critical.

We all have workloads we’re not proud of: they’re old, often brittle, but they keep the mission running. Nonprofits have limited time and resources, so how do you even begin to upgrade or replace a legacy workload?

This workshop shows how developers can integrate AI into Robot Operating System (ROS) applications using managed zero-code ML services. Use Amazon Rekognition to enable a 4-DOF robot arm to comprehend its environment and autonomously interact with objects around it.

Robotic arms are used to automate the transfer of objects from one place to another in a facility. As companies scale autonomous operations, robotic arms must be able to operate in highly dynamic environments and adjust in real time to unexpected changes.

Mobile robots bring a unique set of capabilities to edge computing. Artificial intelligence, machine learning, simulations, training, and app updates are significantly enhanced via cloud-connected robots.