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Kniha Deployable Multimodal Machine Intelligence Hongliang Ren

Deployable Multimodal Machine Intelligence

Applications in Biomedical Engineering

Autor: Hongliang Ren
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Springer, Berlin
Dostupnost: Skladem u dodavatele
Odesíláme za 8-11 dnů
2 234 Kč
This book highlights the principles, design and characterization of mechanically compliant soft and...

Informace o knize

Autor
Hongliang Ren
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2024
Stránek
546
EAN
9789811959349
Enbook ID
44681088
Vydavatel
Springer, Berlin
Hmotnost
1019
Rozměry
155 x 235

Kompletní popis

This book highlights the principles, design and characterization of mechanically compliant soft and foldable robots. Traditional rigid robots with bulky footprints and complicated components prolong the design iteration and optimization for keyhole and minimally invasive transluminal applications. Therefore, there is an interest in developing soft and foldable robots with remote actuation, multimodal sensing and machine intelligence. This book discusses the use of foldable and cuttable structures to design biomimetic deployable soft robots, that can exhibit a fair number of motions with consistency and repeatability. It presents the overall design principles, methodology, instrumentation, metamorphic sensing, multi-modal perception, and machine intelligence for creating untethered foldable active structures. These robotic structures can generate a variety of motions such as wave induction, compression, inchworm, peristalsis, flipping, tumbling, walking, swimming, flexion/extension etc. Remote actuation can control motions along regular and irregular surfaces from proximal sides. For self-deployable medical robots, motion diversity and shape reconfiguration are crucial factors. Deployable robots, with the use of malleable and resilient smart actuators, hold this crucial advantage over their conventional rigid robot counterparts. Such flexible structures capable of being compressed and expanded with intelligence perceptions hold enormous potential in biomedical applications.

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