221 citations · 471 across the 16 of their papers we have counts for
13 papers · 1 filter
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
Jacky Liang, Fei Xia, Wenhao Yu +47
Large language models (LLMs) have been shown to exhibit a wide range of capabilities, such as writing robot code from language commands -- enabling non-experts to direct robot beha…
Designing a Socially Assistive Robot to Support Older Adults with Low Vision
Emily Zhou, Zhonghao Shi, Xiaoyang Qiao +2
Socially assistive robots (SARs) have shown great promise in supplementing and augmenting interventions to support the physical and mental well-being of older adults. However, past…
Robot Vulnerability and the Elicitation of User Empathy
Morten Roed Frederiksen, Katrin Fischer, Maja Matarić
This paper describes a between-subjects Amazon Mechanical Turk study (n = 220) that investigated how a robot's affective narrative influences its ability to elicit empathy in human…
Augmented Reality Appendages for Robots: Design Considerations and Recommendations for Maximizing Social and Functional Perception
Ipek Goktan, Karen Ly, Thomas R. Groechel +1
In order to address the limitations of gestural capabilities in physical robots, researchers in Virtual, Augmented, Mixed Reality Human-Robot Interaction (VAM-HRI) have been using…
Using Design Metaphors to Understand User Expectations of Socially Interactive Robot Embodiments
Nathaniel Dennler, Changxiao Ruan, Jessica Hadiwijoyo +3
The physical design of a robot suggests expectations of that robot's functionality for human users and collaborators. When those expectations align with the true capabilities of th…
SPRITE: Stewart Platform Robot for Interactive Tabletop Engagement
Elaine Schaertl Short, Dale Short, Yifeng Fu +1
We present the design of the Stewart Platform Robot for Interactive Tabletop Engagement (SPRITE). This robot is designed for use in socially assistive robotics, a field focusing on…