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Villa Keth

dblp:402/4482 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

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
Immersive interaction · 56% Human-robot interaction · 44%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Immersive interaction › augmented reality
projected augmented reality
0.912025
Anywhere Projected AR for Robot Communication: A Mid-Air Fog Screen-Robot System · HRI 2025
Human-robot interaction
robot communication
0.912025
Anywhere Projected AR for Robot Communication: A Mid-Air Fog Screen-Robot System · HRI 2025
Immersive interaction › augmented reality
spatial augmented reality
0.912025
Anywhere Projected AR for Robot Communication: A Mid-Air Fog Screen-Robot System · HRI 2025
Human-robot interaction › service robot
search and rescue
0.312025
Anywhere Projected AR for Robot Communication: A Mid-Air Fog Screen-Robot System · HRI 2025

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

fog screen projection · 0.93d modeling · 0.9
YearPublicationVenuePosition
2025 Anywhere Projected AR for Robot Communication: A Mid-Air Fog Screen-Robot System
abstract
Augmented reality (AR) allows visualizations to be situated where they are relevant, e.g., in a robot's operating environment or task space. Yet, headset-based AR suffers a scalability issue because every viewer must wear a headset. Projector-based spatial AR solves this problem by projecting augmentations onto the scene, e.g., recognized objects or navigation paths, viewable to crowds. However, this solution mostly requires vertical flat surfaces that may not exist in large open areas like auditoriums, warehouses, construction sites, or search and rescue scenes. Moreover, when humans are not co-located with the robot or situated at a distance, the projection may not be legible to humans. Thus, there is a need to create a projectable, viewable surface for humans in such scenarios. In this HRI systems paper, we introduce a fog screen-robot system that integrates a mid-air fog screen device into a robot to create such a projectable surface and presents two evaluations in a construction site and a search and rescue scenario for high-stakes communication needs. Specifically, we implemented an existing fog screen device, which can only project one-third of a meter (33cm). We improved it to achieve a fog screen length of half a meter (53cm). In the noisy construction site scenario, the robot inspected the site and projected icons for missing wall sockets and plumbing fixtures. In the unstructured search and rescue scenario, the robot was able to project a person icon for a first responder to save life. All 3D models and code are available at https://github.com/TheRARELab/fog-screen-robot-system. Videos are available at https://osf.io/b4efu/.
Adrian Lozada, Uthman Tijani, Villa Keth, Zhao Han
HRI3