Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Guillaume Jeanneau

dblp:274/9888 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2020
—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.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%
Artificial intelligence
1 paper
Robot manipulation · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › parallel manipulator
parallel manipulator design
0.412020
R-Min: a Fast Collaborative Underactuated Parallel Robot for Pick-and-Place Operations · ICRA 2020
Human-robot interaction
physical human-robot interaction
0.412020
R-Min: a Fast Collaborative Underactuated Parallel Robot for Pick-and-Place Operations · ICRA 2020
Human-robot interaction › physical human-robot interaction
safe robot design
0.412020
R-Min: a Fast Collaborative Underactuated Parallel Robot for Pick-and-Place Operations · ICRA 2020

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

underactuated mechanism design · 0.9impact force analysis · 0.9
YearPublicationVenuePosition
2020 R-Min: a Fast Collaborative Underactuated Parallel Robot for Pick-and-Place Operations
abstract
This paper introduces an intrinsically safe parallel manipulator dedicated to fast pick-and-place operations, called R-Min. It has been designed to reduce the risk of injury during a collision with a human operator, while maintaining high speed and acceleration. The proposed architecture is based on a modification of the well-known planar five-bar mechanism, where additional passive joints are introduced to the distal links in order to create a planar seven-bar mechanism with two degrees of underactuation, so that it can passively reconfigure in case of collision. A supplementary passive leg, in which a tension spring is mounted, is added between the base and the end-effector in order to constrain the additional degrees of freedom. A prototype of this new collaborative parallel robot is designed and its equilibrium configurations under several types of loadings are analyzed. Its dynamics is also studied. We analyze the impact force occurring during a collision between our prototype and the head of an operator and compare these results with those that would have been obtained with a rigid five-bar mechanism. Simulation results of impact during a standard pick-and-place trajectory of duration 0.3 s show that a regular five-bar mechanism would injure a human, while our robot would avoid the trauma.
Guillaume Jeanneau, Vincent Bégoc, Sébastien Briot, Alexandre Goldsztejn
ICRA1