Demo Data from EDBT 2026 / reviewers in the wild / expert
Federico Zaccaria
dblp:297/1919
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0001-7619-7012ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging 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% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control › flexible robot control
continuum robot control |
0.8 | 1 | 2024 | Directional Critical Load Index: A Distance-to-Instability Metric for Continuum Robots · IEEE Trans. Robotics 2024 |
Human-robot interaction › safe human-robot interaction
safe physical interaction |
0.2 | 1 | 2024 | Directional Critical Load Index: A Distance-to-Instability Metric for Continuum Robots · IEEE Trans. Robotics 2024 |
Methods — techniques the papers use, named apart from their topics
potential energy analysis · 1.5hessian eigenvalue linearization · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Directional Critical Load Index: A Distance-to-Instability Metric for Continuum RobotsabstractEquilibrium stability assessment is a primary issue in continuum robots (CRs). The possible stable-to-unstable transitions that CRs may admit complicate the use of CRs in tasks where safety and human–robot interactions are mandatory. In this context, metrics measuring the distance from instability are essential but rarely developed. Existing metrics are frequently based on the evaluation of matrices involving mixed units, thus resulting in unit-dependent metrics. Moreover, the physical meaning of existing metric is hard to interpretate. This article proposes to use the magnitude of a force that brings instability to the CR equilibrium as a measure of the distance to instability. The major advantages of this metric are the intrinsic physical meaning, the practical interpretation of the results, and the well-defined unit of the measurements. The proposed metric (named directional critical load index) is based on the linearization of the eigenvalues of the reduced Hessian matrix of the total potential energy, which can be achieved regardless of the employed discretization technique. Three different case studies illustrate and demonstrate the main results of this article. Federico Zaccaria, Edoardo Idà, Sébastien Briot |
IEEE Trans. Robotics | 1 |