2 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
Improving through Interaction: Searching Behavioral Representation Spaces with CMA-ES-IG
Nathaniel Dennler, Zhonghao Shi, Yiran Tao +3
Robots that interact with humans must adapt to individual users' preferences to operate effectively in human-centered environments. An intuitive and effective technique to learn no…
HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction
Zhonghao Shi, Enyu Zhao, Nathaniel Dennler +6
Real-time human perception is crucial for effective human-robot interaction (HRI). Large vision-language models (VLMs) offer promising generalizable perceptual capabilities but oft…
Modeling Personalized Difficulty of Rehabilitation Exercises Using Causal Trees
Nathaniel Dennler, Zhonghao Shi, Uksang Yoo +2
Rehabilitation robots are often used in game-like interactions for rehabilitation to increase a person's motivation to complete rehabilitation exercises. By adjusting exercise diff…
Improving User Experience in Preference-Based Optimization of Reward Functions for Assistive Robots
Nathaniel Dennler, Zhonghao Shi, Stefanos Nikolaidis +1
Assistive robots interact with humans and must adapt to different users' preferences to be effective. An easy and effective technique to learn non-expert users' preferences is thro…