Jeremy Begey

dblp:235/7182 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2019
0000-0002-2926-5438ORCID · reported

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-authorApplied, interdisciplinary, general and emerging computing · 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
2 papers
Motion planning and robot control · 88% Robot manipulation · 12%
Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › parallel robot control
cable-driven parallel robot control
0.412019
Dynamic Control of Parallel Robots Driven by Flexible Cables and Actuated by Position-Controlled Winches · IEEE Trans. Robotics 2019
Robotics › Motion planning and robot control
robot control
0.412019
Dynamic Control of Parallel Robots Driven by Flexible Cables and Actuated by Position-Controlled Winches · IEEE Trans. Robotics 2019
Haptics and multimodal interaction
force sensing
0.412019
A novel force sensor with zero stiffness at contact transition based on optical line generation · ICRA 2019
Robotics › Robot manipulation
medical robotics
0.112019
A novel force sensor with zero stiffness at contact transition based on optical line generation · ICRA 2019

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

optical line generation · 0.8additive manufacturing · 0.8singular perturbation theory · 0.4feedback linearization · 0.4
YearPublicationVenuePosition
2019 A novel force sensor with zero stiffness at contact transition based on optical line generation
abstract
Robotization of medical acts often requires the evaluation of contacts between a robotic system and a patient, for safety or efficiency reasons. When contact occurs with a stiff environment, instabilities and vibrations can appear and a passive compliance is therefore needed. In this paper, we propose to embed compliance in a force sensor and to develop a novel force sensor with large compliance, i.e. a zero stiffness at contact transition to ease robot control. To get at the same time a satisfying measurement range and low off-axis sensitivity, an optical measurement process based on an optical line generated thanks to additive manufacturing is exploited. A compliant sensor body allowing the desired stiffness profile is presented and the specific optical measurement technique is developed. Finally, a prototype of the proposed force sensor is evaluated experimentally.
Jeremy Begey, Mathieu Nierenberger, Pierre Pfeiffer, Sylvain Lecler, Pierre Renaud
ICRA1
2019 Dynamic Control of Parallel Robots Driven by Flexible Cables and Actuated by Position-Controlled Winches
abstract
An alternative approach to standard computed torque with feedback linearization is proposed in this paper to control cable-driven parallel robots (CDPRs) with highly flexible cables. Exteroceptive feedback is used to measure the end-effector Cartesian position at a high sampling rate. Stability is demonstrated using singular perturbation theory. The proposed control scheme is experimentally validated on a planar 3-degree-of-freedom CDPR and its efficiency is assessed by comparison with a simple kinematic control law.
Jeremy Begey, Loïc Cuvillon, Maximilian Lesellier, Marc Gouttefarde, Jacques Gangloff
IEEE Trans. Robotics1