4 papers
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…
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,…
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…