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20242026
most citedFARPLS: A Feature-Augmented Robot Trajectory Preference Labeling System to Assist Human Labelers' Preference Elicitation

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.AI2026

Finishing the Task Is Not Enough: Evaluating Agent Resilience and Considerate Participation under Accumulating Challenge

Yuanchen Bai, Zijian Ding, Angelique Taylor

Sustained deployment of generative AI agents requires more than isolated task success. Agents must remain useful across repeated interactions, changing conditions, and dependencies…

cs.RO2026

REPAIR-Bench: A Benchmark for Robot Error Perception And Interaction Recovery

Giuliano Pioldi, Yashika Batra, Arman Ibrayeva +4

Understanding how users perceive and respond to robot failures is essential for building robust and trustworthy robot systems. Prior work, however, (i) often treats failures as ind…

cs.RO2026

Towards Considerate Human-Robot Coexistence: A Dual-Space Framework of Robot Design and Human Perception in Healthcare

Yuanchen Bai, Zijian Ding, Ruixiang Han +3

The rapid advancement of robotics is reshaping what it means for humans and robots to coexist -- through expanded capabilities, more intuitive interactions, and deeper integration…

cs.CY2025

A Systematic Literature Review on Equity and Technology in HCI and Fairness: Navigating the Complexities and Nuances of Equity Research

Seyun Kim, Yuanchen Bai, Haiyi Zhu +1

Equity is crucial to the ethical implications in technology development. However, implementing equity in practice comes with complexities and nuances. In response, the research com…

cs.HC2024★ 1 cited

FARPLS: A Feature-Augmented Robot Trajectory Preference Labeling System to Assist Human Labelers' Preference Elicitation

Hanfang Lyu, Yuanchen Bai, Xin Liang +7

Preference-based learning aims to align robot task objectives with human values. One of the most common methods to infer human preferences is by pairwise comparisons of robot task…