Robot dynamic manipulation : perception of deformable objects and nonprehensile manipulation control / Bruno Siciliano, Fabio Ruggiero, editors.
Siciliano, Bruno, 1959- editor.; Ruggiero, Fabio, editor.
2022
TJ211.4 .R63 2022
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Title
Robot dynamic manipulation : perception of deformable objects and nonprehensile manipulation control / Bruno Siciliano, Fabio Ruggiero, editors.
ISBN
9783030932909 (electronic bk.)
3030932907 (electronic bk.)
9783030932893
3030932893
DOI
https://doi.org/10.1007/978-3-030-93290-9
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (chiefly color).
Item Number
10.1007/978-3-030-93290-9 doi
Call Number
TJ211.4 .R63 2022
Dewey Decimal Classification
629.8/92
Summary
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.
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Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Siciliano, Bruno, 1959- editor.
Ruggiero, Fabio, editor.
Series
Springer tracts in advanced robotics ; v. 144.
Available in Other Form
Robot dynamic manipulation.
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Part I: Perception
Deformation modelling for a physics-based perception system
Non-rigid tracking using RGB-D data
Smoothed particle hydrodynamics-based viscous deformable object modelling
Perception and motion planning for unknotting/untangling of ropes of nite thickness
Part II: Nonprehensile manipulation planning and control
Pizza-peel handling through a sliding nonprehensile manipulation primitive
Holonomic rolling nonprehensile manipulation primitive
Nonholonomic rolling nonprehensile manipulation primitive
A coordinate-free framework for robotic pizza tossing and catching
Planning framework for robotic pizza dough stretching with a rolling pin.

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