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Robot Dynamic Manipulation - Perception of Deformable Objects and Nonprehensile Manipulation Control (Hardcover, 1st ed. 2022) Loot Price: R4,585
Discovery Miles 45 850
Robot Dynamic Manipulation - Perception of Deformable Objects and Nonprehensile Manipulation Control (Hardcover, 1st ed. 2022):...

Robot Dynamic Manipulation - Perception of Deformable Objects and Nonprehensile Manipulation Control (Hardcover, 1st ed. 2022)

Bruno Siciliano, Fabio Ruggiero

Series: Springer Tracts in Advanced Robotics, 144

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Loot Price R4,585 Discovery Miles 45 850 | Repayment Terms: R430 pm x 12*

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This book collects the main results of the Advanced Grant project RoDyMan funded by the European Research Council. As a final demonstrator of the project, a pizza-maker robot was realized. This represents a perfect example of understanding the robot challenge, considering every inexperienced person's difficulty preparing a pizza. Through RoDyMan, the opportunity was to merge all the acquired competencies in advancing the state of the art in nonprehensile dynamic manipulation, which is the most complex manipulation task, considering deformable objects. This volume is intended to present Ph.D. students and postgraduates working on deformable object perception and robot manipulation control the results achieved within RoDyMan and propose cause for reflection of future developments. The RoDyMan project culminating with this book is meant as a tribute to Naples, the hosting city of the project, an avant-garde city in robotics technology, automation, gastronomy, and art culture.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Springer Tracts in Advanced Robotics, 144
Release date: March 2022
First published: 2022
Editors: Bruno Siciliano • Fabio Ruggiero
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 253
Edition: 1st ed. 2022
ISBN-13: 978-3-03-093289-3
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
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LSN: 3-03-093289-3
Barcode: 9783030932893

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