Andrew Hundt

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Image Generation

Lego Mindstorms

Top Venues

IEEE Robotics Autom. Lett.

Publications

Andrew Hundt, Julia Schuller, Severin Kacianka
Towards Equitable Agile Research and Development of AI and Robotics. CoRR (2024)
Andrew Hundt
Can 'Robots Won't Save Japan' Save Robotics? Reviewing an Ethnography of Eldercare Automation. CoRR (2024)
Andrew Hundt, Gabrielle Ohlson, Pieter Wolfert, Lux Miranda, Sophia Zhu, Katie Winkle
Love, Joy, and Autism Robots: A Metareview and Provocatype. CoRR (2024)
Rumaisa Azeem, Andrew Hundt, Masoumeh Mansouri, Martim Brandão
LLM-Driven Robots Risk Enacting Discrimination, Violence, and Unlawful Actions. CoRR (2024)
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 (2024)
Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, Matthew C. Gombolay
Robots Enact Malignant Stereotypes. FAccT (2022)
Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, Matthew C. Gombolay
Robots Enact Malignant Stereotypes. CoRR (2022)
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)
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)
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) (2020)
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 (2019)
Andrew Hundt, Varun Jain, Gregory D. Hager
sharpDARTS: Faster and More Accurate Differentiable Architecture Search. CoRR (2019)
Andrew Hundt, Varun Jain, Chia-Hung Lin, Chris Paxton, Gregory D. Hager
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints. IROS (2019)
Andrew Hundt, Varun Jain, Chris Paxton, Gregory D. Hager
Training Frankenstein's Creature to Stack: HyperTree Architecture Search. CoRR (2018)
Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager
Evaluating Methods for End-User Creation of Robot Task Plans. CoRR (2018)
Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager
Evaluating Methods for End-User Creation of Robot Task Plans. IROS (2018)
Chris Paxton, Andrew Hundt, Felix Jonathan, Kelleher Guerin, Gregory D. Hager
CoSTAR: Instructing collaborative robots with behavior trees and vision. ICRA (2017)
Chris Paxton, Felix Jonathan, Andrew Hundt, Bilge Mutlu, Gregory D. Hager
User Experience of the CoSTAR System for Instruction of Collaborative Robots. CoRR (2017)
Chris Paxton, Andrew Hundt, Felix Jonathan, Kelleher Guerin, Gregory D. Hager
CoSTAR: Instructing Collaborative Robots with Behavior Trees and Vision. CoRR (2016)