2 citations · 2 across the 8 of their papers we have counts for
8 papers
Toward Human-in-the-Loop Robot Failure Recovery: Bridging Communication Gaps in Human-Robot Collaboration
Promise Ekpo, Teju Vijay, Dhruv Mandalik +5
Robots can recover from failures by asking bystanders for help, but effective human-in-the-loop recovery requires communication that accounts for differences in people's knowledge.…
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…
TANDE: Disentangling Verbal and Nonverbal Backchannels in Emotional AI-Avatar Conversations with Young Adults
Ann-Kareen Gedeus, Jack Good, Nadine Wagener +1
Embodied conversational agents (ECAs) need effective empathic grounding to foster social support and engagement. Expanding into emotional domains, ECAs now use Large Language Model…
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…
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…