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Johannes T. B. Overvelde

dblp:163/4612 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0003-0253-0147ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1

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
Robot manipulation · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › soft robotics
soft actuator modeling
0.212015
Modeling of Soft Fiber-Reinforced Bending Actuators · IEEE Trans. Robotics 2015
Robotics › Robot manipulation
soft robotics
0.212015
Modeling of Soft Fiber-Reinforced Bending Actuators · IEEE Trans. Robotics 2015

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

finite element method · 0.2
YearPublicationVenuePosition
2015 Modeling of Soft Fiber-Reinforced Bending Actuators
abstract
Soft fluidic actuators consisting of elastomeric matrices with embedded flexible materials are of particular interest to the robotics community because they are affordable and can be easily customized to a given application. However, the significant potential of such actuators is currently limited as their design has typically been based on intuition. In this paper, the principle of operation of these actuators is comprehensively analyzed and described through experimentally validated quasi-static analytical and finite-element method models for bending in free space and force generation when in contact with an object. This study provides a set of systematic design rules to help the robotics community create soft actuators by understanding how these vary their outputs as a function of input pressure for a number of geometrical parameters. Additionally, the proposed analytical model is implemented in a controller demonstrating its ability to convert pressure information to bending angle in real time. Such an understanding of soft multimaterial actuators will allow future design concepts to be rapidly iterated and their performance predicted, thus enabling new and innovative applications that produce more complex motions to be explored.
Panagiotis Polygerinos, Zheng Wang 0002, Johannes T. B. Overvelde, Kevin C. Galloway, Robert J. Wood, Katia Bertoldi, Conor J. Walsh
IEEE Trans. Robotics3