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Olivier Lys

dblp:284/7930 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1988
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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 · 70% Robot manipulation · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › flexible manipulator
flexible joint robot		 0.011988
Robust control and parameter estimation of robots with flexible joints · ICRA 1988
Robotics › Motion planning and robot control
robot control		 0.011988
Robust control and parameter estimation of robots with flexible joints · ICRA 1988
Robotics › Motion planning and robot control › robot control
robust control		 0.011988
Robust control and parameter estimation of robots with flexible joints · ICRA 1988
Robotics › Motion planning and robot control › system identification › robot dynamics identification
robot parameter identification		 0.011988
Robust control and parameter estimation of robots with flexible joints · ICRA 1988

Methods — techniques the papers use, named apart from their topics

youla parametrization · 0.0two-degree-of-freedom compensator · 0.0decentralized control · 0.0
YearPublicationVenuePosition
1988 Robust control and parameter estimation of robots with flexible joints
abstract
A decentralized control design is presented for industrial robots with flexibilities at the joints. Based on an independent joint robot model, a two-degree-of-freedom, linear compensator is proposed. The latter is designed based on the Youla parametrization yielding a stable compensator which effectively takes into account the oscillatory modes, and uses only measurable actuator signals (motor shaft position). Conditions for achieving global stability are given. A two-step estimation mechanism is applied for estimating the complete robot arm model's parameters.>
Carlos Canudas-de-Wit, Olivier Lys
 ICRA2