Large Scale Testing for Autonomous Systems
Wednesday, October 07, 2020: 3:45 PM - 4:30 PM
Robotic and Autonomous Systems are becoming more prevalent and integrated into our everyday lives. Robots help us complete housework, fight fires, manage warehouse inventory, automate manufacturing, and simulate lunar landscapes, as well as providing companionship. While the diversity of robot applications is greatly expanding, these breakthroughs demand expensive physical testing to ensure robots perform in complex real-world environments. In this session, we dive deep into how to use large scale parallel simulations to verify and validate autonomous systems and illustrate the value via two case studies. The first case study is on regression testing with simulation and continuous integration. We demonstrate how you can use cloud simulation to manage your CI/CD pipeline to build your robotics applications. The second case study demonstrates how to use cloud simulations to build a robot application that can make real-time decisions using machine learning (ML) inference results.
Analyst,Engineering/Technical,Research & Development,Student