2 citations · 2 across the 5 of their papers we have counts for
5 papers
Towards Considerate Embodied AI: Co-Designing Situated Multi-Site Healthcare Robots from Abstract Concepts to High-Fidelity Prototypes
Yuanchen Bai, Ruixiang Han, Niti Parikh +2
Co-design is essential for grounding embodied artificial intelligence (AI) systems in real-world contexts, especially high-stakes domains such as healthcare. While prior work has e…
CARIS: A Context-Adaptable Robot Interface System for Personalized and Scalable Human-Robot Interaction
Felipe Arias-Russi, Yuanchen Bai, Angelique Taylor
The human-robot interaction (HRI) field has traditionally used Wizard-of-Oz (WoZ) controlled robots to explore navigation, conversational dynamics, human-in-the-loop interactions,…
Before Humans Join the Team: Diagnosing Coordination Failures in Healthcare Robot Team Simulation
Yuanchen Bai, Zijian Ding, Shaoyue Wen +2
As humans move toward collaborating with coordinated robot teams, understanding how these teams coordinate and fail is essential for building trust and ensuring safety. However, ex…
From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context
Yuanchen Bai, Zijian Ding, Angelique Taylor
Advancements in generative models have enabled multi-agent systems (MAS) to perform complex virtual tasks such as writing and code generation, which do not generalize well to physi…
Measuring Adversarial Datasets
Yuanchen Bai, Raoyi Huang, Vijay Viswanathan +2
In the era of widespread public use of AI systems across various domains, ensuring adversarial robustness has become increasingly vital to maintain safety and prevent undesirable e…