51 citations · 157 across the 10 of their papers we have counts for
7 papers · 1 filter
LLM-Driven Robots Risk Enacting Discrimination, Violence, and Unlawful Actions
Andrew Hundt, Rumaisa Azeem, Masoumeh Mansouri +1
Members of the Human-Robot Interaction (HRI) and Machine Learning (ML) communities have proposed Large Language Models (LLMs) as a promising resource for robotics tasks such as nat…
Robots Enact Malignant Stereotypes
Andrew Hundt, William Agnew, Vicky Zeng +2
Stereotypes, bias, and discrimination have been extensively documented in Machine Learning (ML) methods such as Computer Vision (CV) [18, 80], Natural Language Processing (NLP) [6]…
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
Andrew Hundt, Benjamin Killeen, Nicholas Greene +4
Current Reinforcement Learning (RL) algorithms struggle with long-horizon tasks where time can be wasted exploring dead ends and task progress may be easily reversed. We develop th…
Evaluating Methods for End-User Creation of Robot Task Plans
Chris Paxton, Felix Jonathan, Andrew Hundt +2
How can we enable users to create effective, perception-driven task plans for collaborative robots? We conducted a 35-person user study with the Behavior Tree-based CoSTAR system t…
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints
Andrew Hundt, Varun Jain, Chia-Hung Lin +2
A robot can now grasp an object more effectively than ever before, but once it has the object what happens next? We show that a mild relaxation of the task and workspace constraint…
User Experience of the CoSTAR System for Instruction of Collaborative Robots
Chris Paxton, Felix Jonathan, Andrew Hundt +2
How can we enable novice users to create effective task plans for collaborative robots? Must there be a tradeoff between generalizability and ease of use? To answer these questions…
CoSTAR: Instructing Collaborative Robots with Behavior Trees and Vision
Chris Paxton, Andrew Hundt, Felix Jonathan +2
For collaborative robots to become useful, end users who are not robotics experts must be able to instruct them to perform a variety of tasks. With this goal in mind, we developed…