EDBT 2026 Demo / reviewers in the wild / expert
Rafael Guerra-Silva
dblp:371/3089
· DBLP profile ↗
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 · 77% Human-robot interaction · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction › extended reality
extended reality interaction |
0.9 | 1 | 2025 | Exploring Extended Reality to Optimize Human-Cobot Interaction · HRI 2025 |
Methods — techniques the papers use, named apart from their topics
extended reality · 0.9MQTT · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Exploring Extended Reality to Optimize Human-Cobot InteractionabstractWe explore the integration of extended reality technologies for advancing human-robot collaboration in manufacturing environments. Utilizing a commercial XR headset, the Meta Quest 3, we capture real-time hand and virtual object movements to intuitively control a Universal Robotics e-Series cobot. Our primary objective is to assess whether this interaction paradigm is intuitive for operators while effectively leveraging the cobot's capabilities. Data is streamed from the headset to a broker using MQTT. A local computing module subscribes to the data, translates coordinates into the robot's workspace, and generates control instructions for the cobot. Preliminary findings suggest that XR-based interaction can provide an immersive and efficient framework for human-robot collaboration. These results set the stage for further exploration of multi-user and multi-robot scenarios. Javier Gonzalez-Sanchez, Rafael Guerra-Silva |
HRI | 2 |