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
Demo Data from VLDB 2026 / reviewers in the wild / expert

Gabriel Boucher

dblp:246/7756 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2019
—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
robot sensing		 0.412019
A parallel low-impedance sensing approach for highly responsive physical human-robot interaction · ICRA 2019
Human-robot interaction › physical human-robot interaction
impedance control		 0.412019
A parallel low-impedance sensing approach for highly responsive physical human-robot interaction · ICRA 2019
Human-robot interaction
physical human-robot interaction		 0.412019
A parallel low-impedance sensing approach for highly responsive physical human-robot interaction · ICRA 2019

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

macro-mini architecture · 0.8impedance control · 0.8
YearPublicationVenuePosition
2019 A parallel low-impedance sensing approach for highly responsive physical human-robot interaction
abstract
This paper presents a novel sensing approach for the physical interaction between a human user and a serial robotic arm. The approach is inspired from the concept of macro-mini robot architecture. The framework is developed for a general multi-degree-of-freedom serial robot and a corresponding impedance control scheme is proposed. In order to illustrate the concept, a five-degree-of-freedom robotic arm was built as well as a six-degree-of-freedom low-impedance sensing device that is used to control the robot. Experimental results are provided.
Gabriel Boucher, Thierry Laliberté, Clément Gosselin
 ICRA1