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Missy Cummings: A Machine Learning Approach to Modeling Human Interaction with Autonomous Systems

Submitted by Tony I Garcia on October 10, 2019 - 4:00pm
MissyCummings

The Department of Applied Mathematics is pleased to host this series of colloquium lectures, funded in part by a generous gift from the Boeing Company. This series will bring to campus prominent applied mathematicians from around the world.


Speaker: Missy Cummings

Date: October 10th, 2019, 4pm

Location: (SMI 205)

Title: A Machine Learning Approach to Modeling Human Interaction with Autonomous Systems

Abstract: There is significant interest in the development and deployment of safety-critical technologies with embedded autonomy. However, most of these systems require some form of human interaction whether it is humans supervising these systems like a drone operator, or people working in and around the system such as pedestrians and driverless cars. This talk will describe an unsupervised learning approach to modeling human interaction with autonomous systems and how such models can be used to diagnose system design issues.

Youtube: Watch the talk online here

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