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Titlebook: Robot Dynamic Manipulation; Perception of Deform Bruno Siciliano,Fabio Ruggiero Book 2022 Springer Nature Switzerland AG 2022 Perception.De

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发表于 2025-3-21 16:17:10 | 显示全部楼层 |阅读模式
书目名称Robot Dynamic Manipulation
副标题Perception of Deform
编辑Bruno Siciliano,Fabio Ruggiero
视频video
概述Covers topics of the perception of deformable objects and nonprehensile manipulation.Resumes all results achieved by the RoDyMan project, creating a compendium of the most dexterous manipulation actio
丛书名称Springer Tracts in Advanced Robotics
图书封面Titlebook: Robot Dynamic Manipulation; Perception of Deform Bruno Siciliano,Fabio Ruggiero Book 2022 Springer Nature Switzerland AG 2022 Perception.De
描述.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..
出版日期Book 2022
关键词Perception; Deformable objects; Nonprehensile manipulation; Robot control; RoDyMan Project; Robotic manip
版次1
doihttps://doi.org/10.1007/978-3-030-93290-9
isbn_softcover978-3-030-93292-3
isbn_ebook978-3-030-93290-9Series ISSN 1610-7438 Series E-ISSN 1610-742X
issn_series 1610-7438
copyrightSpringer Nature Switzerland AG 2022
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Smoothed Particle Hydrodynamics-Based Viscous Deformable Object Modellingscosity coefficient, not an artificial one like in existing implicit viscosity methods, which helps predict the viscous behavior of continuous materials more accurately. The obtained results show that the computational time for the proposed approach is predictable, while the accuracy in modelling th
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Jung-Tae Kim,Fabio Ruggiero,Vincenzo Lippiello,Bruno Siciliano
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Alejandro Donaire,Fabio Ruggiero,Vincenzo Lippiello,Bruno Siciliano
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