EDBT 2026 Demo / reviewers in the wild / expert
Pedro Gomez Hernandez
dblp:403/3238
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0001-8378-7280ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 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.
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 50% Haptics and multimodal interaction · 50% | |
| Artificial intelligence
1 paper |
Robot manipulation · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Haptics and multimodal interaction › haptic device actuation
stiffness modulation |
0.9 | 1 | 2025 | Stiffness Regulation Co-Pilot in Bilateral Teleimpedance Control: A Preliminary User Study · ICRA 2025 |
Human-robot interaction
teleoperation |
0.9 | 1 | 2025 | Stiffness Regulation Co-Pilot in Bilateral Teleimpedance Control: A Preliminary User Study · ICRA 2025 |
Robotics › Robot manipulation
remote operation |
0.3 | 1 | 2025 | Stiffness Regulation Co-Pilot in Bilateral Teleimpedance Control: A Preliminary User Study · ICRA 2025 |
Robotics › Robot manipulation › actuator design
variable stiffness |
0.3 | 1 | 2025 | Stiffness Regulation Co-Pilot in Bilateral Teleimpedance Control: A Preliminary User Study · ICRA 2025 |
Methods — techniques the papers use, named apart from their topics
user study · 1.7stiffness regulation policy · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Stiffness Regulation Co-Pilot in Bilateral Teleimpedance Control: A Preliminary User StudyabstractVariable stiffness of a remote robot is crucial for a teleoperation system to deal with challenging tasks. External stiffness command interfaces have emerged as a promising solution to regulating the remote robot stiffness because of the benefits of their accuracy, ergonomics, and avoidance of the “coupling effect” that usually exists in muscle activity-based stiffness interfaces. However, the use of an external stiffness command interface requires good coordination between two limbs of an operator, which take care of the teleoperation task and the stiffness regulation task, respectively, at the same time, which is demanding for novice operators in dynamic situations necessitating agile and timely stiffness adjustments. In this paper, a new concept of Stiffness Regulation Co-pilot was proposed to facilitate the use of these interfaces. A co-pilot is a virtual agent that consists of a Stiffness Regulation Policy, which infers a reasonable stiffness regulation action from the task performance, and a feedback modality, which conveys the suggested stiffness regulation action to the operator. A preliminary user study was conducted to evaluate the efficacy of the co-pilot and the effect of different modalities of the co-pilot. The results showed that the cutaneous feedback or combined with another modality can potentially improve the task performance of the system and reduce the cognitive load of the operator compared to a teleoperation system without using the co-pilot. Pedro Gomez Hernandez, Jonas Mariager Jakobsen, Claudio Pacchierotti, Francesco Chinello |
ICRA | 1 |