Demo Data from EDBT 2026 / reviewers in the wild / expert
Fabian Jakob
dblp:383/4396
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0000-3338-8855ORCID · 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.
| Artificial intelligence
1 paper |
Motion planning and robot control · 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
passivity-based control |
0.8 | 1 | 2024 | Enhancing the Tracking Performance of Passivity-based High-Frequency Robot Cloud Control · ICRA 2024 |
Robotics › Motion planning and robot control
robot control |
0.8 | 1 | 2024 | Enhancing the Tracking Performance of Passivity-based High-Frequency Robot Cloud Control · ICRA 2024 |
Methods — techniques the papers use, named apart from their topics
time domain passivity approach · 0.8position drift compensation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Enhancing the Tracking Performance of Passivity-based High-Frequency Robot Cloud ControlabstractThis paper addresses the migration of high-frequency robot controllers to remote computing services, which are connected via a communication channel prone to delays and packet loss. The stability of the networked system is guaranteed by ensuring passivity of each subcomponent in the interconnection, as well as the Time-Domain-Passivity-Approach (TDPA) for the communication channel. We reduce conservatism of the TDPA using the model knowledge on both sides of the communication system to identify passivity excesses. This is further used to avoid over-dissipation of energy in the passivity controller by augmentation of a tolerable passivity-shortage. Tracking offsets are eliminated with a position drift compensation algorithm, for which convergence guarantees are provided. The experimental validation of the results conducted on a 7-DoF Franka Research 3 robot demonstrates a substantial enhancement in tracking performance due to the proposed modifications, particularly in scenarios with high communication delays. Fabian Jakob, Hamid Sadeghian, Sami Haddadin |
ICRA | 1 |