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Pierre-Elie Hervé

dblp:373/3496 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0003-0289-7379ORCID · corroborated

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

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 · 67% Robot manipulation · 33%
Theoretical computer science
1 paper
Mathematical optimization · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › parallel manipulator
cable-driven parallel robot
0.312017
Estimating inertial parameters of suspended cable-driven parallel robots - Use case on CoGiRo · ICRA 2017
Robotics › Motion planning and robot control › system identification › robot dynamics identification
inertial parameter identification
0.312017
Estimating inertial parameters of suspended cable-driven parallel robots - Use case on CoGiRo · ICRA 2017
Robotics › Motion planning and robot control › robot control
model-based control
0.312017
Estimating inertial parameters of suspended cable-driven parallel robots - Use case on CoGiRo · ICRA 2017
Mathematical optimization › control theory › system identification
parameter identification
0.112017
Estimating inertial parameters of suspended cable-driven parallel robots - Use case on CoGiRo · ICRA 2017

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

newton-euler equations · 0.6least-squares identification · 0.6
YearPublicationVenuePosition
2017 Estimating inertial parameters of suspended cable-driven parallel robots - Use case on CoGiRo
abstract
Model based open-loop and closed-loop control systems make use of the system's inertial parameters. Unfortunately, not all of these values can be determined analytically nor can they be obtained from simple measurements. Established experiments for inertial parameters estimation have been applied to serial and parallel rigid-link manipulators, yet in very few cases to cable-driven parallel robots. Due to their kinematic properties and their unique setup, cable robots are more sensitive to incorrect estimates of the inertial parameters making it important to obtain such quantities through experiments. In this work, we assess the topic of inertial parameter identification of a parallel flexible-link manipulator exemplified by the suspended cable-driven parallel robot CoGIRo. Identification equations are derived from Newton-Euler equations of motion of an arbitrary point fixed to a rigid-body. Laboratory experiments for identification of the inertial parameters are then introduced and results are presented. Within the limitations of the sensors and data acquisition methods, reasonable results have been obtained, thereby validating the procedure for suspended cable-driven parallel robots.
Philipp Tempel, Pierre-Elie Hervé, Olivier Tempier, Marc Gouttefarde, Andreas Pott
ICRA2
2013 Dual-space adaptive control of redundantly actuated cable-driven parallel robots
abstract
Cable-driven parallel robots (CDPR) are efficient manipulators able to carry heavy payloads across large workspaces. Therefore, the dynamic parameters such as the mobile platform mass and center of mass location may considerably vary. Without any adaption, the erroneous parametric estimate results in mismatch terms added to the closed-loop system, which may decrease the robot performances. In this paper, we introduce an adaptive dual-space motion control scheme for CDPR. The proposed method aims at increasing the robot tracking performances, while keeping all the cable tensed despite uncertainties and changes in the robot dynamic parameters. Reel-time experimental tests, performed on a large redundantly actuated CDPR prototype, validate the efficiency of the proposed control scheme. These results are compared to those obtained with a non-adaptive dual-space feedforward control scheme.
Johann Lamaury, Marc Gouttefarde, Ahmed Chemori, Pierre-Elie Hervé
IROS4