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Skyler Valdez

dblp:367/4595 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0002-1608-0407ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 87% Haptics and multimodal interaction · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
assistive robotics
0.812024
RABBIT: A Robot-Assisted Bed Bathing System with Multimodal Perception and Integrated Compliance · HRI 2024
Human-robot interaction
physical human-robot interaction
0.812024
RABBIT: A Robot-Assisted Bed Bathing System with Multimodal Perception and Integrated Compliance · HRI 2024
Haptics and multimodal interaction
multimodal perception
0.212024
RABBIT: A Robot-Assisted Bed Bathing System with Multimodal Perception and Integrated Compliance · HRI 2024

Methods — techniques the papers use, named apart from their topics

multimodal perception · 0.8compliant end-effector design · 0.8
YearPublicationVenuePosition
2024 RABBIT: A Robot-Assisted Bed Bathing System with Multimodal Perception and Integrated Compliance
abstract
This paper introduces RABBIT, a novel robot-assisted bed bathing system designed to address the growing need for assistive technologies in personal hygiene tasks. It combines multimodal perception and dual (software and hardware) compliance to perform safe and comfortable physical human-robot interaction. Using RGB and thermal imaging to segment dry, soapy, and wet skin regions accurately, RABBIT can effectively execute washing, rinsing, and drying tasks in line with expert caregiving practices. Our system includes custom-designed motion primitives inspired by human caregiving techniques, and a novel compliant end-effector called Scrubby, optimized for gentle and effective interactions. We conducted a user study with 12 participants, including one participant with severe mobility limitations, demonstrating the system's effectiveness and perceived comfort. Supplementary material and videos can be found on our website \hrefhttps://emprise.cs.cornell.edu/rabbit emprise.cs.cornell.edu/rabbit .
Rishabh Madan, Skyler Valdez, Sujie Fang, Luoyan Zhong, Diego Virtue, Tapomayukh Bhattacharjee
HRI2