In-Hand Object Localization and Control: Enabling Dexterous Manipulation with Robotic Hands

This book introduces a novel model-based dexterous manipulation framework, which, thanks to its precision and versatility, significantly advances the capabilities of robotic hands compared to the previous state of the art. This is achieved by combining a novel grasp state estimation algorithm, the first to integrate information from tactile sensing, proprioception and vision, with an impedance-based in-hand object controller, which enables leading manipulation capabilities, including finger gaiting. The developed concept is implemented on one of the most advanced robotic manipulators, the DLR humanoid robot David, and evaluated in a range of challenging real-world manipulation scenarios and tasks. This book greatly benefits researchers in the field of robotics that study robotic hands and dexterous manipulation topics, as well as developers and engineers working on industrial automation applications involving grippers and robotic manipulators.


1141371795
In-Hand Object Localization and Control: Enabling Dexterous Manipulation with Robotic Hands

This book introduces a novel model-based dexterous manipulation framework, which, thanks to its precision and versatility, significantly advances the capabilities of robotic hands compared to the previous state of the art. This is achieved by combining a novel grasp state estimation algorithm, the first to integrate information from tactile sensing, proprioception and vision, with an impedance-based in-hand object controller, which enables leading manipulation capabilities, including finger gaiting. The developed concept is implemented on one of the most advanced robotic manipulators, the DLR humanoid robot David, and evaluated in a range of challenging real-world manipulation scenarios and tasks. This book greatly benefits researchers in the field of robotics that study robotic hands and dexterous manipulation topics, as well as developers and engineers working on industrial automation applications involving grippers and robotic manipulators.


129.0 In Stock
In-Hand Object Localization and Control: Enabling Dexterous Manipulation with Robotic Hands

In-Hand Object Localization and Control: Enabling Dexterous Manipulation with Robotic Hands

by Martin Pfanne
In-Hand Object Localization and Control: Enabling Dexterous Manipulation with Robotic Hands

In-Hand Object Localization and Control: Enabling Dexterous Manipulation with Robotic Hands

by Martin Pfanne

eBook1st ed. 2022 (1st ed. 2022)

$129.00 

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Overview

This book introduces a novel model-based dexterous manipulation framework, which, thanks to its precision and versatility, significantly advances the capabilities of robotic hands compared to the previous state of the art. This is achieved by combining a novel grasp state estimation algorithm, the first to integrate information from tactile sensing, proprioception and vision, with an impedance-based in-hand object controller, which enables leading manipulation capabilities, including finger gaiting. The developed concept is implemented on one of the most advanced robotic manipulators, the DLR humanoid robot David, and evaluated in a range of challenging real-world manipulation scenarios and tasks. This book greatly benefits researchers in the field of robotics that study robotic hands and dexterous manipulation topics, as well as developers and engineers working on industrial automation applications involving grippers and robotic manipulators.



Product Details

ISBN-13: 9783031069673
Publisher: Springer-Verlag New York, LLC
Publication date: 08/31/2022
Series: Springer Tracts in Advanced Robotics , #149
Sold by: Barnes & Noble
Format: eBook
File size: 53 MB
Note: This product may take a few minutes to download.

Table of Contents

Introduction.- Related Work.- Grasp Modeling.- Grasp State Estimation.- Impedance-based Object Control.- Conclusion.    
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