Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Fabian Jakob

dblp:383/4396 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
passivity-based control
0.812024
Enhancing the Tracking Performance of Passivity-based High-Frequency Robot Cloud Control · ICRA 2024
Robotics › Motion planning and robot control
robot control
0.812024
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
YearPublicationVenuePosition
2024 Enhancing the Tracking Performance of Passivity-based High-Frequency Robot Cloud Control
abstract
This 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
ICRA1