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1
Intro
2
Three Kinds of People
3
Human Prediction Problem
4
Autonomous Driving Example
5
Predict and React Approach
6
Human Human Interaction
7
Optimal trajectory
8
Fourway stops
9
Moving backwards
10
Incentivizing people
11
Communication
12
Coupled Planning
13
People Dont Always Plan
14
Shared Utility
Description:
Explore a comprehensive lecture on optimizing robot actions in human environments, delivered by Anca Dragan from UC Berkeley's Electrical Engineering and Computer Sciences department. Delve into the complexities of human-robot interaction, covering topics such as human prediction, autonomous driving, and shared utility. Learn about the challenges of predicting human behavior, the limitations of the "predict and react" approach, and innovative strategies for coupled planning. Examine real-world applications in autonomous driving, including navigating four-way stops and incentivizing human cooperation. Gain insights into the nuances of human-human interaction and how these principles can be applied to improve robot-human communication and collaboration.

Optimizing Robot Action Around and For People

Simons Institute
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