activity
20232026
most citedForgetful Large Language Models: Lessons Learned from Using LLMs in Robot Programming

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Let the Body Follow: Coupled Egocentric Control for Whole-Body Robot Teleoperation

Tsung-Chi Lin, Yichen Xie, Chien-Ming Huang

Whole-body teleoperation requires users to coordinate perception, manipulation, posture, and mobility across multiple robot components. This coordination is difficult because users…

cs.RO2025

Xpress: A System For Dynamic, Context-Aware Robot Facial Expressions using Language Models

Victor Nikhil Antony, Maia Stiber, Chien-Ming Huang

Facial expressions are vital in human communication and significantly influence outcomes in human-robot interaction (HRI), such as likeability, trust, and companionship. However, c…

cs.RO2025

The Design of On-Body Robots for Older Adults

Victor Nikhil Antony, Clara Jeon, Jiasheng Li +4

Wearable technology has significantly improved the quality of life for older adults, and the emergence of on-body, movable robots presents new opportunities to further enhance well…

cs.RO2025★ 1 cited

"See You Later, Alligator": Impacts of Robot Small Talk on Task, Rapport, and Interaction Dynamics in Human-Robot Collaboration

Kaitlynn Taylor Pineda, Ethan Brown, Chien-Ming Huang

Small talk can foster rapport building in human-human teamwork; yet how non-anthropomorphic robots, such as collaborative manipulators commonly used in industry, may capitalize on…

cs.HC2024

Designing Social Robots that Engage Older Adults in Exercise: A Case Study

Victor Nikhil Antony, Chien-Ming Huang

We present and evaluate a prototype social robot to encourage daily exercise among older adults in a home setting. Our prototype system, designed to lead users through exercise ses…

cs.RO2023★ 1 cited

Forgetful Large Language Models: Lessons Learned from Using LLMs in Robot Programming

Juo-Tung Chen, Chien-Ming Huang

Large language models offer new ways of empowering people to program robot applications-namely, code generation via prompting. However, the code generated by LLMs is susceptible to…