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Books on the topic 'Soft robot'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 September 2024

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1

Xia, Boxi. Soft actuator and agile soft robot. [New York, N.Y.?]: [publisher not identified], 2022.

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2

Inoue, Takahiro. Mechanics and control of soft-fingered manipulation. London: Springer, 2009.

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3

Inoue, Takahiro. Mechanics and control of soft-fingered manipulation. London: Springer, 2009.

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4

Inoue, Takahiro. Mechanics and control of soft-fingered manipulation. London: Springer, 2009.

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5

Galt, Stuart. Soft computing based motion control for an eight-legged robot. Portsmouth: University of Portsmouth, Dept. of Electricsl and Electronic Engineering, 1998.

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6

Suzumori, Koichi, Kenjiro Fukuda, Ryuma Niiyama, and Kohei Nakajima, eds. The Science of Soft Robots. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-5174-9.

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7

1963-, Zhou Changjiu, Maravall Darío 1952-, and Ruan Da, eds. Autonomous robotic systems: Soft computing and hard computing : methodologies and applications. Heidelberg: Physica-Verlag, 2003.

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8

Jain, Lakhmi C. Soft Computing for Intelligent Robotic Systems. Heidelberg: Physica-Verlag HD, 1998.

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9

Zhou, Changjiu. Autonomous Robotic Systems: Soft Computing and Hard Computing Methodologies and Applications. Heidelberg: Physica-Verlag HD, 2003.

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10

Hirai, Shinichi, and Takahiro Inoue. Mechanics and Control of Soft-Fingered Manipulation. Springer London, Limited, 2010.

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11

Duhamel, Pierre-Emile. Soft robotics simulation environment for optimized robot locomotion. 2009.

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12

pages, Coloring. I Love Robot: Coloring book Great Gift for Boys & Girls , Soft Cover, Glossy Finish. Independently published, 2020.

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13

Ishiguro, Akio, and Takuya Umedachi. From slime molds to soft deformable robots. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0040.

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An autonomous decentralized control mechanism, where the coordination of simple individual components yields non-trivial macroscopic behavior or functionalities, is a key to understanding how animals orchestrate the large degrees of freedom of their bodies in response to different situations. However, a systematic design methodology is still missing. To alleviate this problem, we focus, in this chapter, on the plasmodium of a true slime mold (Physarum polycephalum), which is a primitive multinucleate single-cell organism. Despite its primitiveness, and lacking a brain and nervous system, the plasmodium exhibits surprisingly adaptive and versatile behavior (e.g. taxis, exploration). This ability has undoubtedly been honed by evolutionary selection pressure, and there likely exists an ingenious mechanism that underlies the animals’ adaptive behavior. We successfully extracted a design scheme for decentralized control and implemented it in an amoeboid robot with many degrees of freedom. The experimental results showed that adaptive behaviors emerge even in the absence of any centralized control architecture.
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14

vhouma, brachiosaurus notbook. Cyborg Mechanical Built Robot Robotic Human Function Tool Computer Program Robots: Lined Notebook / Journal Gift,120 Pages,6*9,Soft Cover,Matte Finish. Independently Published, 2020.

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15

Floreano, Dario, and Nicola Nosengo. Tales from a Robotic World. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/13489.001.0001.

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Stories from the future of intelligent machines—from rescue drones to robot spouses—and accounts of cutting-edge research that could make it all possible. Tech prognosticators promised us robots—autonomous humanoids that could carry out any number of tasks. Instead, we have robot vacuum cleaners. But, as Dario Floreano and Nicola Nosengo report, advances in robotics could bring those rosy predictions closer to reality. A new generation of robots, directly inspired by the intelligence and bodies of living organisms, will be able not only to process data but to interact physically with humans and the environment. In this book, Floreano, a roboticist, and Nosengo, a science writer, bring us tales from the future of intelligent machines—from rescue drones to robot spouses—along with accounts of the cutting-edge research that could make it all possible. These stories from the not-so-distant future show us robots that can be used for mitigating effects of climate change, providing healthcare, working with humans on the factory floor, and more. Floreano and Nosengo tell us how an application of swarm robotics could protect Venice from flooding, how drones could reduce traffic on the congested streets of mega-cities like Hong Kong, and how a “long-term relationship model” robot could supply sex, love, and companionship. After each fictional scenario, they explain the technologies that underlie it, describing advances in such areas as soft robotics, swarm robotics, aerial and mobile robotics, humanoid robots, wearable robots, and even biohybrid robots based on living cells. Robotics technology is no silver bullet for all the world's problems—but it can help us tackle some of the most pressing challenges we face.
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16

Metta, Giorgio. Humans and humanoids. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0047.

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This chapter outlines a number of research lines that, starting from the observation of nature, attempt to mimic human behavior in humanoid robots. Humanoid robotics is one of the most exciting proving grounds for the development of biologically inspired hardware and software—machines that try to recreate billions of years of evolution with some of the abilities and characteristics of living beings. Humanoids could be especially useful for their ability to “live” in human-populated environments, occupying the same physical space as people and using tools that have been designed for people. Natural human–robot interaction is also an important facet of humanoid research. Finally, learning and adapting from experience, the hallmark of human intelligence, may require some approximation to the human body in order to attain similar capacities to humans. This chapter focuses particularly on compliant actuation, soft robotics, biomimetic robot vision, robot touch, and brain-inspired motor control in the context of the iCub humanoid robot.
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17

TE, Funny Puzles. My Robot Drawing Pad Belongs To ______: Sketch Book for Kids / Sketch Book Gift, 150 Pages, 8,5x11 in , Soft Cover, Matte Finish. Independently Published, 2020.

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18

Cangelosi, Angelo, and Minoru Asada, eds. Cognitive Robotics. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/13780.001.0001.

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The current state of the art in cognitive robotics, covering the challenges of building AI-powered intelligent robots inspired by natural cognitive systems. A novel approach to building AI-powered intelligent robots takes inspiration from the way natural cognitive systems—in humans, animals, and biological systems—develop intelligence by exploiting the full power of interactions between body and brain, the physical and social environment in which they live, and phylogenetic, developmental, and learning dynamics. This volume reports on the current state of the art in cognitive robotics, offering the first comprehensive coverage of building robots inspired by natural cognitive systems. Contributors first provide a systematic definition of cognitive robotics and a history of developments in the field. They describe in detail five main approaches: developmental, neuro, evolutionary, swarm, and soft robotics. They go on to consider methodologies and concepts, treating topics that include commonly used cognitive robotics platforms and robot simulators, biomimetic skin as an example of a hardware-based approach, machine-learning methods, and cognitive architecture. Finally, they cover the behavioral and cognitive capabilities of a variety of models, experiments, and applications, looking at issues that range from intrinsic motivation and perception to robot consciousness. Cognitive Robotics is aimed at an interdisciplinary audience, balancing technical details and examples for the computational reader with theoretical and experimental findings for the empirical scientist.
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19

Trimmer, Barry. Soft-bodied terrestrial invertebrates and robots. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0041.

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Studies of animal locomotion and its control have generally focused on species with articulated, stiff skeletons, largely ignoring the contributions of soft tissues. Attempts to create animal-like performance in robots illustrate the limitations of using rigid-body mechanics alone. There is a growing appreciation that soft structures are critical for producing robust and adaptable behaviors in complex environments. Studies of predominantly soft animals could help to accelerate our understanding of the biomechanical role of deformable materials and their control. This chapter focuses on our current understanding of locomotion in terrestrial soft animals. It highlights the critical distinction between purely hydrostatic systems that control movements by pressurization and those that can remain relatively soft and exploit stiff substrates (the environmental skeleton strategy). The final section describes biomimetic devices that have been inspired by both animal strategies to show how such biological solutions might be employed to build controllable, highly deformable mobile machines.
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20

Fuller, Robert, and Janos Fodor. Advances in Soft Computing, Intelligent Robotics and Control. Springer International Publishing AG, 2016.

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21

Fodor, János, and Robert Fullér. Advances in Soft Computing, Intelligent Robotics and Control. Springer, 2014.

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22

Fodor, János, and Robert Fullér. Advances in Soft Computing, Intelligent Robotics and Control. Springer London, Limited, 2014.

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23

Haden, Christen. Creepy Cute Crochet: Zombies, Ninjas, Robots, and More. Quirk Books, 2008.

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24

Verl, Alexander, Alin Albu-Schäffer, Oliver Brock, and Annika Raatz. Soft Robotics: Transferring Theory to Application. Springer, 2015.

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25

Verl, Alexander, Alin Albu-Schäffer, Oliver Brock, and Annika Raatz. Soft Robotics: Transferring Theory to Application. Springer, 2016.

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26

Verl, Alexander, Alin Albu-Schäffer, Oliver Brock, and Annika Raatz. Soft Robotics: Transferring Theory to Application. Springer, 2015.

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27

Narouze, Samer N. Cervical Transforaminal/Nerve Root Injections: Ultrasound. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199908004.003.0005.

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Ultrasound provides direct visualization and imaging of various soft tissues without radiation exposure. Thus, it is a very appealing modality in neck injections, with the magnitude of critical soft-tissue structures compacted in a very vascular area. Moreover, ultrasound imaging allows real-time needle advancement and monitoring the spread of injectate, which improves the accuracy of the block and minimizes the risk of intravascular injection. This chapter reviews the feasibility and safety of the ultrasound-guided approach. It also provides a new insight into the technique and why some practitioners prefer an “extraforaminal” nerve root approach rather than the traditional “transforaminal” epidural approach.
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28

Schlatter, Samuel, Iain A. Anderson, and E. F. Markus Henke. Soft dielectric elastomer oscillators driving bioinspired robots. Mary Ann Liebert, New Rochelle, NY, 2019. http://dx.doi.org/10.25368/2019.1.

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29

Rajashekhar, V. S., and Gowdham Prabhakar. Developments and Trend Maps for Soft Continuum Manipulators and Soft Snake Robots. Now Publishers, 2024.

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30

Zhang, L. Untethered Miniature Soft Robots - Materials, Fabrications, and Applications. Wiley & Sons, Limited, John, 2023.

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31

Monje, Concepción A., and Cecilia Laschi, eds. Advances in Modelling and Control of Soft Robots. Frontiers Media SA, 2021. http://dx.doi.org/10.3389/978-2-88971-047-8.

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32

Xia, Neng. Untethered Miniature Soft Robots: Materials, Fabrications, and Applications. Wiley & Sons, Incorporated, John, 2024.

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33

Xia, Neng. Untethered Miniature Soft Robots: Materials, Fabrications, and Applications. Wiley & Sons, Incorporated, John, 2023.

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34

Xia, Neng. Untethered Miniature Soft Robots: Materials, Fabrications, and Applications. Wiley & Sons, Incorporated, John, 2023.

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35

Xie, S., M. Zhang, and W. Meng. Soft Robots for Healthcare Applications: Design, modelling, and control. Institution of Engineering and Technology, 2017. http://dx.doi.org/10.1049/pbhe014e.

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36

Soft Robots for Healthcare Applications: Design, Modelling, and Control. Institution of Engineering & Technology, 2017.

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37

Fukuda, Kenjiro, Ryuma Niiyama, Koichi Suzumori, and Kohei Nakajima. Science of Soft Robots: Design, Materials and Information Processing. Springer, 2023.

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38

GUITTEAUD-C. Les Robots sont-ils vraiment nos amis ? VOY EL, 2017.

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39

Houk, Jill. Complete Soda Making Book: From Homemade Root Beer to Seltzer and Sparklers, 100 Recipes to Make Your Own Soda. Adams Media Corporation, 2013.

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40

Borgatti, Matthew, and Kari Love. Soft Robotics: A DIY Introduction to Squishy, Stretchy, and Flexible Robots. Maker Media, Inc, 2018.

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41

Team, Engineering is Elementary. Sort It Out: Programming Robots to Recycle Storybook. Engineering is Elementary, 2022.

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42

Gofeld, Michael. Lumbar Transforaminal and Nerve Root Injections: Ultrasound. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199908004.003.0017.

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Ultrasound (US) guidance has gained recognition in the field of regional anesthesia mainly because of its definite advantage of visually localizing the desired target and also due to perceived benefits of safety, accuracy, and efficiency when peripheral nerve blocks are performed. On the contrary, ultrasonography of the spinal structures may be challenging because of depth, bony acoustic shadowing, and complex three-dimensional anatomy. Nevertheless, US allows satisfactory imaging of the posterior elements of spine column and paraspinal soft tissues. This makes US applicable and practical in the outpatient clinical setting, and thus ultrasonography has been increasingly penetrating into chronic spinal pain management. Perhaps the major advantage of ultrasound-guided spine interventions is the lack of radiation exposure. Lumbar transforaminal injections are frequently performed for managing acute and chronic radicular pain, and US guidance may reduce overall radioactive contamination.
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43

Vydyanathan, Amaresh, Allan L. Brook, Boleslav Kosharskyy, and Samer N. Narouze. Thoracic Nerve Root and Facet Injections: Computed Tomography. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199908004.003.0014.

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Thoracic back pain patients present with associated radiculopathy, degenerative disc disease, spondylosis, stenosis, scoliosis, rib fractures, tumors, or after undergoing thoracic surgery. Thoracic transforaminal or selective nerve root blocks (SNRBs) may be both therapeutic and diagnostic. Therapeutic injections may include either local anesthetics for pain relief or corticosteroids for anti-inflammatory effects. The two types of pain amenable to therapeutic SNRBs include pain caused by irritation or direct pressure on a spinal nerve and pain originating from anatomic structures that are innervated by the sinuvertebral nerve. Although these blocks are traditionally performed under fluoroscopic guidance, computed tomography (CT) and CT fluoroscopy have been increasingly used to direct needle placement and have been advocated by experts due to superior visualization of the needle tip and the ability to clearly define spinal anatomy and adjacent soft-tissues.
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44

Team, Engineering is Elementary. Sort It Out: Programming Robots to Recycle Educator Guide. Engineering is Elementary, 2022.

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45

Konstantinova, Jelizaveta, Helge Wurdemann, and Ali Shafti. Soft and Stiffness-Controllable Robotics Solutions for Minimally Invasive Surgery: The STIFF-FLOP Approach. River Publishers, 2022.

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46

The root beer book: A celebration of America's best-loved soft drink. Lake Geneva, WI: Limelight Books, 1997.

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47

Team, Engineering is Elementary. Sort It Out: Programming Robots to Recycle Educator Guide & Storybook. Engineering is Elementary, 2022.

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48

Sort It Out: Programming Robots to Recycle Guide Print + Digital 1yr. Engineering is Elementary, 2023.

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49

Wang, Lingfeng, Kay Chen Tan, and Dikai Liu. Design and Control of Intelligent Robotic Systems. Springer, 2010.

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50

Wang, Lingfeng, Kay Chen Tan, and Dikai Liu. Design and Control of Intelligent Robotic Systems. Springer London, Limited, 2009.

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