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https://doi.org/10.31224/5192...
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Scale Adaptive Robotics

Soft Robot for Multi-Scale Applications
Authors: Bobins Augustine; Arvind Selvan Chezhian; Gaetano Perchiazzi; Thiemo Voigt; Robin Augustine;

Scale Adaptive Robotics

Abstract

Scale Adaptive Robotics (SAR) represents a novel class of robots characterized by a ubiquitous design capable of adapting functional capabilities and physical interactions across different scales. This pioneering concept, introduced in this work, demonstrates how a bioinspired SAR design can be developed and implemented using scalable actuators fabricated through a hybrid additive process. SAR systems exhibit remarkable versatility, finding applications across varying scales. Miniaturized versions of these robots are suited for medical applications, such as intrabody drug delivery and in-vivo surgeries, while macro-scale counterparts are ideal for industrial and environmental uses, including soft grippers, robotic hands, and manipulators. This study showcases the size-dependent adaptability of SAR technology through the development of a fully biocompatible soft robot, illustrating its potential for both macro and micro/miniature scale applications. Importantly, the SAR concept is not constrained by the type of scalable actuator employed but relies on the functional design's ability to operate effectively across scales. By providing a scalable design template, SAR paves the way for advancements in fully automated robot manufacturing, offering transformative potential for diverse industries.

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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!
0
Average
Average
Average
hybrid