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Juliana Covarrubias

dblp:353/6051 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2026
0009-0008-3981-9431ORCID · reported

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

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 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.

Artificial intelligence
1 paper
Motion planning and robot control · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › contact control › contact task control
robot force control
0.212023
Robotic Method and Instrument to Efficiently Synthesize Faulty Conditions and Mass-Produce Faulty-Conditioned Data for Rotary Machines · ICRA 2023

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

system identification · 0.7robotic force control · 0.7
YearPublicationVenuePosition
2026 Memory Bottle
abstract
Think back to a moment in the last year—what do you remember? Did a photo or video capture that feeling? Memory Bottle is a tangible user interface (TUI) that bridges the gap between how we document moments and how we experience them. This ephemeral recording device encourages the formation of a grounding habit through an alternative method of documentation: focusing on collecting small yet meaningful sensory elements throughout the day and reviewing them once before letting them go. The device takes the form of a bottle that captures specific sensory inputs: color, temperature, and audio. Memory Bottle is paired with an external device, the Sensory Station, which transfers sensory data collected throughout the day into an abstracted output that users engage with to intentionally process their experiences. This TUI centers memory, attention, and ritual to transform memory-making into an actively mindful experience.
Juliana Covarrubias, Jannes Feldmann, Stephanie L. Tondow, Chetan Goenka, William Carter Valle
TEI1
2023 Robotic Method and Instrument to Efficiently Synthesize Faulty Conditions and Mass-Produce Faulty-Conditioned Data for Rotary Machines
abstract
Condition synthesis is vital for generating data for fault detection and diagnosis studies. Traditional methods rely heavily on human labor. This study proposes a robotic method and its instru-ment to efficiently synthesize faulty conditions and mass-produce data to develop fault detection and diagnosis algorithms. The first contribution is the formalization of a new approach called Robotic Condition Synthesis, which shifts the traditionally labor-intensive task of condition synthesis to a robot-based force control task. The second contribution is developing a new robotic manipulator, which is more effective than current lab-grade robots for the tasks involved in the Robotic Condition Synthesis. The third contribution is empirical evidence of the superiority of this new robot in performing the Robotic Condition Synthesis tasks. This study also explores the potential of the new robot by conducting a three-dimensional system identification of a rotordynamic plant, which lays the foundation for more advanced Robotic Condition Synthesis policies in the future.
Yip Fun Yeung, Fangzhou Xia 0001, Juliana Covarrubias, Mikio Furokawa, Takayuki Hirano, Kamal Youcef-Toumi
ICRA3