EDBT 2026 Demo / reviewers in the wild / expert

Patrick Plédel

dblp:44/2898 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1996
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 2 · 2 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
2 papers
Motion planning and robot control · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
trajectory planning		 0.011996
Polynomial motion generation of manipulators with technological constraints · ICRA 1996
Robotics › Motion planning and robot control
motion planning		 0.011995
Actuator Constraints in Optimal Motion Planning of Manipulators · ICRA 1995
Robotics › Motion planning and robot control › motion planning
optimal motion planning		 0.011995
Actuator Constraints in Optimal Motion Planning of Manipulators · ICRA 1995
Robotics › Motion planning and robot control › robot control
actuator constraints		 0.021996
Polynomial motion generation of manipulators with technological constraints · ICRA 1996
Actuator Constraints in Optimal Motion Planning of Manipulators · ICRA 1995
Robotics › Motion planning and robot control
robot control		 0.021996
Polynomial motion generation of manipulators with technological constraints · ICRA 1996
Actuator Constraints in Optimal Motion Planning of Manipulators · ICRA 1995

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

polynomial interpolation · 0.0weighted time-energy objective · 0.0sequential quadratic programming · 0.0
YearPublicationVenuePosition
1996 Polynomial motion generation of manipulators with technological constraints
abstract
Motion generation gives the joint positions speeds and accelerations of manipulators, at every moment. We assume that the motion are polynomial trajectories, that ensure joint acceleration continuity Usual kinematical constraints, obtained with approximations, are not always sufficient, then we will focus on actuators constraints on voltages and currents.
Patrick Plédel, Yasmina Bestaoui
 ICRA1
1995 Actuator Constraints in Optimal Motion Planning of Manipulators
abstract
The optimal motion generation problem is solved subject to various actuator constraints while the motion is constrained to an arbitrary path. The considered objective function is a weighted time energy function while most of existing methods consider only the time-optimal problem. We present some simulation results using a mathematical programming technique (sequential quadratic programming) existing in the NPSOL software.
Patrick Plédel, Yasmina Bestaoui
 ICRA1