25 citations · 46 across the 2 of their papers we have counts for
6 papers
Situational Confidence Assistance for Lifelong Shared Autonomy
Matthew Zurek, Andreea Bobu, Daniel S. Brown +1
Shared autonomy enables robots to infer user intent and assist in accomplishing it. But when the user wants to do a new task that the robot does not know about, shared autonomy wil…
Dynamically Switching Human Prediction Models for Efficient Planning
Arjun Sripathy, Andreea Bobu, Daniel S. Brown +1
As environments involving both robots and humans become increasingly common, so does the need to account for people during planning. To plan effectively, robots must be able to res…
Feature Expansive Reward Learning: Rethinking Human Input
Andreea Bobu, Marius Wiggert, Claire Tomlin +1
When a person is not satisfied with how a robot performs a task, they can intervene to correct it. Reward learning methods enable the robot to adapt its reward function online base…
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac +2
Human input has enabled autonomous systems to improve their capabilities and achieve complex behaviors that are otherwise challenging to generate automatically. Recent work focuses…
LESS is More: Rethinking Probabilistic Models of Human Behavior
Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac +2
Robots need models of human behavior for both inferring human goals and preferences, and predicting what people will do. A common model is the Boltzmann noisily-rational decision m…
Learning under Misspecified Objective Spaces
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac +1
Learning robot objective functions from human input has become increasingly important, but state-of-the-art techniques assume that the human's desired objective lies within the rob…