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Modular Soft Robotics: Modular Units, Connection Mechanisms, and Applications

Authors: Chao Zhang; Pingan Zhu; Yangqiao Lin; Zhongdong Jiao; Jun Zou 0002;

Modular Soft Robotics: Modular Units, Connection Mechanisms, and Applications

Abstract

A state‐of‐the‐art review of the modular soft robots (MSRs) is presented, with an outlook on the challenges and future directions of intelligent MSRs. In contrast to conventional robots composed of rigid materials, soft robots made from soft materials offer remarkable advantages in achieving various adaptive locomotion, manipulating delicate objects, providing safe human–robot interaction and adapting to confined environments due to their excellent compliance and adaptability, which have the potential to be widely used in numerous applications such as medical, exploration and rescue devices, etc. Unlike fixed‐morphology soft robots, modularization of soft robots is a low‐cost and rapid strategy that enables them to adapt to changing tasks and environments by rearranging the connectivity of module units and attain complex functionalities such as self‐assembly, self‐repair, or self‐replication. Although MSRs exhibit many advantages, they are still in the nascent stage with plenty of challenges. Herein, first the materials, fabrication, actuation, sensor, and control of various modular units in MSRs are introduced. Then, some main connection methods between modular units are summarized. Finally, the applications, challenges, and developing directions of intelligent MSRs are discussed.

Related Organizations
Keywords

TK7885-7895, Computer engineering. Computer hardware, connection mechanisms, Control engineering systems. Automatic machinery (General), modular soft robots, TJ212-225, modular units, soft materials

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    128
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
128
Top 1%
Top 10%
Top 1%
gold