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François Leborne

dblp:226/6284 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
dynamic modeling
0.312018
Dynamic Modeling and Identification of an Heterogeneously Actuated Underwater Manipulator Arm · ICRA 2018
Robotics › Robot manipulation
parameter identification
0.312018
Dynamic Modeling and Identification of an Heterogeneously Actuated Underwater Manipulator Arm · ICRA 2018
Robotics › Robot manipulation › robot manipulator
underwater manipulator
0.312018
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
YearPublicationVenuePosition
2018 Dynamic Modeling and Identification of an Heterogeneously Actuated Underwater Manipulator Arm
abstract
This 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
ICRA1