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Lei Zhang 0073

dblp:97/8704-73 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0002-6553-4412ORCID · verified

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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%
Computer graphics and multimedia
1 paper
Computational fabrication · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › soft robotics › soft actuator
dielectric elastomer actuator
0.312017
Networked soft actuators with large deformations · ICRA 2017
Robotics › Robot manipulation › soft robotics
soft actuator
0.312017
Networked soft actuators with large deformations · ICRA 2017
Robotics › Robot manipulation
soft robotics
0.312017
Networked soft actuators with large deformations · ICRA 2017
Computational fabrication › soft robotics
soft robotics fabrication
0.112017
Networked soft actuators with large deformations · ICRA 2017

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

theoretical analysis · 0.6experimental validation · 0.6
YearPublicationVenuePosition
2017 Networked soft actuators with large deformations
abstract
Soft actuators play an important role in producing motions in soft robots, and dielectric elastomers have shown great promise because of their considerable voltage-induced deformation. In particular, air-filled dielectric elastomer actuators have been well studied, where the air inside provides prestretches to improve the actuation range. This paper proposes a network of inflated dielectric elastomer actuators, interconnected via a chamber, with the advantages to be highly deformable and continuously controllable. Theoretical analyses show that the networked design is able to largely postpone the occurrence of material failures of the actuators, resulting in a large and continuous actuation range for their control. We further carried out experiments for validation, and the results were largely in line with the theoretical predictions. These findings essentially provide insight into developing networked soft actuators, for achieving large actuation capability.
Feifei Chen 0002, Lei Zhang 0073, Hongying Zhang 0003, Michael Yu Wang, Jian Zhu 0005
ICRA3