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|a UAMI
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|a Ni, Zhenjiang.
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|a Haptic Feedback Teleoperation of Optical Tweezers /
|c Zhenjiang Ni, Céline Pacoret, Ryad Benosman, Stéphane Régnier.
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260 |
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|a London :
|b ISTE ;
|a Hoboken, NJ :
|b Wiley,
|c 2014.
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300 |
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|a 1 online resource
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|a text
|b txt
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|a Control, systems and industrial engineering series
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|a Print version record.
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|a Cover page; Half-title page; Title page; Copyright page; Contents; Preface; Introduction; 1: Introduction to Haptic Optical Tweezers; 1.1. Introduction; 1.2. A dexterous experimental platform; 1.2.1. A dexterous micromanipulation technique; 1.2.2. A dexterous user interaction for micromanipulation; 1.2.3. Pioneering works; 1.3. Interactive optical tweezers; 1.3.1. Displacement techniques; 1.3.2. Impact of the laser deflection; 1.3.3. Measurement techniques; 1.4. Specific designs for haptic interactions; 1.4.1. Temporal sharing; 1.4.2. Spatial sharing; 1.5. Discussion; 1.6. Conclusion.
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|a 1.7. Bibliography2: High-speed Vision: From Frame-based to Event-based; 2.1. High-speed cameras; 2.1.1. Image data acquisition; 2.1.2. Image data transmission; 2.1.3. Image data processing; 2.2. Silicon retinas; 2.2.1. Neuromorphic engineering; 2.2.2. Dynamic vision sensor (DVS); 2.2.3. Asynchronous time-based image sensor; 2.3. The advantages of asynchronous event-based vision; 2.3.1. Frame-based methodology; 2.3.2. Event-based acquisition; 2.3.3. Event-based processing; 2.4. The fundamentals of event-based computation; 2.5. State of the art of silicon retina applications.
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|a 2.6. High-speed vision in robotics2.6.1. Examples; 2.6.2. Difficulties; 2.7. Necessity of high-speed vision in microrobotics; 2.7.1. Automatic control of a microrobot; 2.7.2. Teleoperated micromanipulation; 2.7.3. Two concrete applications; 2.7.3.1. Haptic optical tweezers; 2.7.3.2. Haptic virtual assistance of a microgripper system; 2.8. Bibliography; 3: Asynchronous Event-based 2D Microsphere Tracking; 3.1. Reliable haptic optical tweezers; 3.2. State of the art of high-speed microparticle tracking; 3.2.1. Position detection devices; 3.2.2. Candidate algorithms.
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|a 3.3. Microsphere tracking using DVS3.3.1. Event-based continuous Hough transform; 3.3.2. Multiple microsphere tracking; 3.3.2.1. Setup; 3.3.2.2. Experiments; 3.3.3. Brownian motion detection; 3.4. 2D haptic feedback micromanipulation with optical tweezers; 3.4.1. Strategy of haptic coupling with optical tweezers; 3.4.2. Haptic feedback optical tweezer system setup; 3.4.3. First experiments on force sensing in the microworld; 3.4.3.1. Object touching; 3.4.3.2. Surface exploration; 3.4.4. A comparison of frame-based and event-based vision in micromanipulation; 3.5. Conclusions.
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505 |
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|a 3.6. Bibliography4: Asynchronous Event-based 3D Microsphere Tracking; 4.1. 3D sphere tracking methods; 4.1.1. Defocus; 4.1.2. Intensity average on frame-based images; 4.1.3. Polarity integration; 4.1.4. Extension of continuous Hough transform; 4.1.5. Robust circle fitting; 4.1.6. Summary of different methods; 4.2. 3D haptic feedback teleoperation of optical tweezers; 4.2.1. Configuration and method; 4.2.2. Z-axis force feedback; 4.3. Haptic feedback on multitrap optical tweezers; 4.3.1. Time multiplexing multitrapping by galvanometer; 4.3.2. Events-trap correspondence.
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|a The authors of this book provide the first review of haptic optical tweezers, a new technique which brings together force feedback teleoperation and optical tweezers. This technique allows users to explore the microworld by sensing and exerting piconewton-scale forces with trapped microspheres. The design of optical tweezers for high quality haptic feedback is challenging, given the requirements for very high sensitivity and dynamic stability. The concept, design process and specification of optical tweezers reviewed throughout this book focus on those intended for haptic teleoperation. Th.
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Optical tweezers.
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650 |
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|a Haptic devices.
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1 |
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|a Optical Tweezers
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|a Pinces optiques.
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|a Pacoret, Céline.
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700 |
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|a Benosman, Ryad.
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700 |
1 |
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|a Régnier, Stéphane.
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