Demo Data from SIGIR 2026 / reviewers in the wild / expert
François Leborne
dblp:226/6284
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0002-7919-9694ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
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 |
Robot manipulation · 67% Motion planning and robot control · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
dynamic modeling |
0.3 | 1 | 2018 | Dynamic Modeling and Identification of an Heterogeneously Actuated Underwater Manipulator Arm · ICRA 2018 |
Robotics › Robot manipulation
parameter identification |
0.3 | 1 | 2018 | Dynamic Modeling and Identification of an Heterogeneously Actuated Underwater Manipulator Arm · ICRA 2018 |
Robotics › Robot manipulation › robot manipulator
underwater manipulator |
0.3 | 1 | 2018 | Dynamic Modeling and Identification of an Heterogeneously Actuated Underwater Manipulator Arm · ICRA 2018 |
Methods — techniques the papers use, named apart from their topics
minimum parameter set · 0.3excitation trajectory design · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Dynamic Modeling and Identification of an Heterogeneously Actuated Underwater Manipulator ArmabstractThis paper deals with the dynamic modeling and identification of an electrically driven underwater robot manipulator. The proposed study includes the dynamic modeling of the actuators of the arm as well as the identification of the parameters of the model. The proposed method deals with the specific case of heterogeneously actuated arms, namely arms with actuators behaving differently for each joint, being considered at the kinematic level. Indeed, we show how to estimate the arms parameters when some of their revolute joints are directly actuated by geared motors, while the others are actuated by linear actuators. A minimum set of identifiable parameters is determined, and adequate excitation trajectories are generated and used in the identification procedure. Realtime experimental validation on the manipulator arms of Ifremer's HROV (Hybrid Remotely Operated Vehicle) Ariane underwater vehicle demonstrates that the proposed method improves the estimation of the dynamic model. François Leborne, Vincent Creuze, Ahmed Chemori, Lorenzo Brignone |
ICRA | 1 |