Andrew Hundt

According to our database, Andrew Hundt authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LLM-Driven Robots Risk Enacting Discrimination, Violence, and Unlawful Actions.

Rumaisa Azeem, Andrew Hundt, Masoumeh Mansouri, Martim Brandão

CoRR, 2024

Can 'Robots Won't Save Japan' Save Robotics? Reviewing an Ethnography of Eldercare Automation.

Andrew Hundt

CoRR, 2024

Love, Joy, and Autism Robots: A Metareview and Provocatype.

Andrew Hundt, Gabrielle Ohlson, Pieter Wolfert, Lux Miranda, Sophia Zhu, Katie Winkle

CoRR, 2024

Towards Equitable Agile Research and Development of AI and Robotics.

Andrew Hundt, Julia Schuller, Severin Kacianka

CoRR, 2024

SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation.

Zhixuan Liu, Peter Schaldenbrand, Beverley-Claire Okogwu, Wenxuan Peng, Youngsik Yun, Andrew Hundt, Jihie Kim, Jean Oh

CoRR, 2024

2022

Robots Enact Malignant Stereotypes.

Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, Matthew C. Gombolay

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions.

Elias Stengel-Eskin, Andrew Hundt, Zhuohong He, Aditya Murali, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer.

Andrew Hundt, Aditya Murali, Priyanka Hubli, Ran Liu, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer.

Andrew Hundt, Benjamin Killeen, Nicholas Greene, Hongtao Wu, Heeyeon Kwon, Chris Paxton, Gregory D. Hager

IEEE Robotics Autom. Lett., 2020

2019

"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks via Reward Shaping.

Andrew Hundt, Benjamin Killeen, Heeyeon Kwon, Chris Paxton, Gregory D. Hager

CoRR, 2019

sharpDARTS: Faster and More Accurate Differentiable Architecture Search.

Andrew Hundt, Varun Jain, Gregory D. Hager

CoRR, 2019

The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints.

Andrew Hundt, Varun Jain, Chia-Hung Lin, Chris Paxton, Gregory D. Hager

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Training Frankenstein's Creature to Stack: HyperTree Architecture Search.

Andrew Hundt, Varun Jain, Chris Paxton, Gregory D. Hager

CoRR, 2018

Evaluating Methods for End-User Creation of Robot Task Plans.

Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

User Experience of the CoSTAR System for Instruction of Collaborative Robots.

Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager

CoRR, 2017

CoSTAR: Instructing collaborative robots with behavior trees and vision.

Chris Paxton, Andrew Hundt, Felix Jonathan, Kelleher Guerin, Gregory D. Hager

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017