Georges Pagis

dblp:151/9311 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none

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
Motion planning and robot control · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › trajectory optimization
optimal trajectory
0.212014
Design of a controller for enlarging parallel robots workspace through Type 2 singularity crossing · ICRA 2014
Robotics › Motion planning and robot control › robot control
parallel robot control
0.212014
Design of a controller for enlarging parallel robots workspace through Type 2 singularity crossing · ICRA 2014
Robotics › Motion planning and robot control
trajectory planning
0.212014
Design of a controller for enlarging parallel robots workspace through Type 2 singularity crossing · ICRA 2014

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

multimodel control · 0.2
YearPublicationVenuePosition
2014 Design of a controller for enlarging parallel robots workspace through Type 2 singularity crossing
abstract
In order to increase the workspace size of parallel robots (largely reduced by the presence of singularities) several solutions have been proposed. One promising solution consists in the definition of optimal trajectories that ensure the non degeneracy of the dynamic model in the singularity and therefore are able to cross the Type 2 singularities. Those works are based on the computation of the optimal trajectories and assume that the robot can perfectly track the desired trajectory. Nevertheless, this assumption cannot be verified in reality due to modelling errors which largely impact the control law used to follow the desired trajectory. Therefore, if the optimal trajectory is not perfectly tracked, the dynamic model can degenerate near the Type 2 singularities and the robot might stay blocked. In order to solve that problem, this paper proposes a multimodel approach that allows parallel robots to cross the Type 2 singularities without any torque discontinuity. The main idea is to shift near singularities from the full robot dynamic model to another simplified one that can never degenerate. The proposed control law is then coupled with an optimal trajectory planning methodology that makes the singularity crossing more robust to modelling errors. The proposed approach is validated experimentally on a prototype of Five-bar planar parallel mechanism.
Georges Pagis, Nicolas Bouton, Sébastien Briot, Philippe Martinet
ICRA1