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2020 – today
- 2024
[c7]Zhixuan Liu, Peter Schaldenbrand, Beverley-Claire Okogwu, Wenxuan Peng, Wenxuan Peng, Youngsik Yun, Andrew Hundt, Jihie Kim, Jean Oh:
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation. CVPR 2024: 10822-10832- [i12]Zhixuan Liu, Peter Schaldenbrand, Beverley-Claire Okogwu, Wenxuan Peng, Youngsik Yun, Andrew Hundt, Jihie Kim, Jean Oh:
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation. CoRR abs/2401.08053 (2024) - [i11]Andrew Hundt, Julia Schuller, Severin Kacianka:
Towards Equitable Agile Research and Development of AI and Robotics. CoRR abs/2402.08242 (2024) - [i10]Andrew Hundt, Gabrielle Ohlson, Pieter Wolfert, Lux Miranda, Sophia Zhu, Katie Winkle:
Love, Joy, and Autism Robots: A Metareview and Provocatype. CoRR abs/2403.05098 (2024) - [i9]Andrew Hundt:
Can 'Robots Won't Save Japan' Save Robotics? Reviewing an Ethnography of Eldercare Automation. CoRR abs/2403.14673 (2024) - [i8]Rumaisa Azeem, Andrew Hundt, Masoumeh Mansouri, Martim Brandão:
LLM-Driven Robots Risk Enacting Discrimination, Violence, and Unlawful Actions. CoRR abs/2406.08824 (2024) - 2022
- [c6]Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, Matthew C. Gombolay:
Robots Enact Malignant Stereotypes. FAccT 2022: 743-756 - [i7]Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, Matthew C. Gombolay:
Robots Enact Malignant Stereotypes. CoRR abs/2207.11569 (2022) - 2021
- [c5]Elias Stengel-Eskin, Andrew Hundt, Zhuohong He, Aditya Murali, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager:
Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions. CoRL 2021: 1486-1501 - [c4]Andrew Hundt, Aditya Murali, Priyanka Hubli, Ran Liu, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager:
"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer. CoRL 2021: 1564-1574 - 2020
- [j1]Andrew Hundt
, Benjamin Killeen, Nicholas Greene, Hongtao Wu, Heeyeon Kwon, Chris Paxton, Gregory D. Hager:
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer. IEEE Robotics Autom. Lett. 5(4): 6724-6731 (2020)
2010 – 2019
- 2019
- [c3]Andrew Hundt, Varun Jain, Chia-Hung Lin, Chris Paxton, Gregory D. Hager:
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints. IROS 2019: 1797-1804 - [i6]Andrew Hundt, Varun Jain, Gregory D. Hager:
sharpDARTS: Faster and More Accurate Differentiable Architecture Search. CoRR abs/1903.09900 (2019) - [i5]Andrew Hundt, Benjamin Killeen, Heeyeon Kwon, Chris Paxton, Gregory D. Hager:
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks via Reward Shaping. CoRR abs/1909.11730 (2019) - 2018
- [c2]Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager:
Evaluating Methods for End-User Creation of Robot Task Plans. IROS 2018: 6086-6092 - [i4]Andrew Hundt, Varun Jain, Chris Paxton, Gregory D. Hager:
Training Frankenstein's Creature to Stack: HyperTree Architecture Search. CoRR abs/1810.11714 (2018) - [i3]Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager:
Evaluating Methods for End-User Creation of Robot Task Plans. CoRR abs/1811.02690 (2018) - 2017
- [c1]Chris Paxton, Andrew Hundt, Felix Jonathan, Kelleher Guerin, Gregory D. Hager:
CoSTAR: Instructing collaborative robots with behavior trees and vision. ICRA 2017: 564-571 - [i2]Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager:
User Experience of the CoSTAR System for Instruction of Collaborative Robots. CoRR abs/1703.07890 (2017) - 2016
- [i1]Chris Paxton, Andrew Hundt, Felix Jonathan, Kelleher Guerin, Gregory D. Hager:
CoSTAR: Instructing Collaborative Robots with Behavior Trees and Vision. CoRR abs/1611.06145 (2016)
Coauthor Index
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