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Könyv Deployable Multimodal Machine Intelligence Hongliang Ren

Deployable Multimodal Machine Intelligence

Applications in Biomedical Engineering

Szerző: Hongliang Ren
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer, Berlin
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
49 006 Ft
This book highlights the principles, design and characterization of mechanically compliant soft and...

Információk a könyvről

Szerző
Hongliang Ren
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2023
oldal
589
EAN
9789811959318
Enbook ID
39506433
Kiadó
Springer, Berlin
Súly
1133
Méretek
155 x 235

Teljes leírás

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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