DRAFT
Caltech Logo

Control Meets Learning Seminar

Wednesday, February 17, 2021
9:00am to 10:00am
Add to Cal
Online Event
Learning Risk and Social Behavior in Mixed Human-Autonomous Vehicles Systems
Daniela Rus, Director, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology,

Deployment of autonomous vehicles (AV) on public roads promises increases in efficiency and safety, and requires intelligent situation awareness. We wish to have autonomous vehicles that can learn to behave in safe and predictable ways, and are capable of evaluating risk, understanding the intent of human drivers, and adapting to different road situations. This talk describes an approach to learning and integrating risk and behavior analysis in the control of autonomous vehicles. I will introduce Social Value Orientation (SVO), which captures how an agent's social preferences and cooperation affect interactions with other agents by quantifying the degree of selfishness or altruism. SVO can be integrated in control and decision making for AVs. I will provide recent examples of self-driving vehicles capable of adaptation.

For more information, please contact Jolene Brink by email at jbrink@caltech.edu or visit Control Meets Learning Website.