Andrew Hundt

Orcid: 0000-0003-2023-1810

According to our database1, Andrew Hundt authored at least 18 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Lost in Translation: Understanding Autistic-Neurotypical Communication Style Differences in Job Postings.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025
LLM-Driven Robots Risk Enacting Discrimination, Violence, and Unlawful Actions.
Int. J. Soc. Robotics, November, 2025

A Longitudinal Autoethnography of Email Access for a Professional with Chronic Illness and ADHD: Preliminary Insights.
Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility, 2025

2024
Can 'Robots Won't Save Japan' Save Robotics? Reviewing an Ethnography of Eldercare Automation.
CoRR, 2024

Love, Joy, and Autism Robots: A Metareview and Provocatype.
CoRR, 2024

Towards Equitable Agile Research and Development of AI and Robotics.
CoRR, 2024

SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022
Robots Enact Malignant Stereotypes.
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.
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.
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.
IEEE Robotics Autom. Lett., 2020

2019
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks via Reward Shaping.
CoRR, 2019

sharpDARTS: Faster and More Accurate Differentiable Architecture Search.
CoRR, 2019

The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Training Frankenstein's Creature to Stack: HyperTree Architecture Search.
CoRR, 2018

Evaluating Methods for End-User Creation of Robot Task Plans.
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.
CoRR, 2017

CoSTAR: Instructing collaborative robots with behavior trees and vision.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017


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