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Frontiers in Robotics and AI
Article . 2017 . Peer-reviewed
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Frontiers in Robotics and AI
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Article . 2017
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On Intrinsic Safety of Soft Robots

Authors: CIANCHETTI, Matteo; ABIDI, SYED HAIDER JAWAD;

On Intrinsic Safety of Soft Robots

Abstract

The rapidly growing field of soft robotics owes its success to the vast vistas of possibilities they promise. They may be utilized as standalone systems, or work in harmony with the existing robotic technologies. Being based on soft and/or flexible materials, soft robots have usually high dexterity and at the same time, they are also often considered ‘intrinsically safe’. This is generally true and soft-bodied robots can be considered safer from a mechanical point of view, but this is sometimes improperly used. The identification of possible safety loopholes in soft robots is the subject of this paper. After a general overview of safety in robotics, we reported an overview of the main sources of unsafe conditions that may arise by the use of soft robotics technologies. Safety aspects are discussed in three categories quasi-static, dynamic and material failure. Some safety factors exclusive to soft robots such as whiplash like effect and energy stored in highly strained elements are also introduced. Measures to avoid such unsafe conditions are presented such as establishing operational limits and introduction of inspection regimes and arrest systems.

Country
Italy
Keywords

FP7, EC, fet-fp7, open, Challenging current thinking, SP1-Cooperation, A Coordination Action for Soft Robotics, Information and Communication Technologies, European Commission, FET FP7

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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67
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