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Human-aware robotics [electronic resource] : modeling human motor skills for the design, planning and control of a new generation of robotic devices / Giuseppe Averta.

Averta, Giuseppe.
2022
TJ211.49
Available Online
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Title
Human-aware robotics [electronic resource] : modeling human motor skills for the design, planning and control of a new generation of robotic devices / Giuseppe Averta.
Author
Averta, Giuseppe.
ISBN
9783030925215 (electronic bk.)
3030925218 (electronic bk.)
303092520X
9783030925208
DOI
https://doi.org/10.1007/978-3-030-92521-5
Published
Cham, Switzerland : Springer, 2022.
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-030-92521-5 doi
Call Number
TJ211.49
Dewey Decimal Classification
629.8/924019
Summary
This book moves from a thorough investigation of human capabilities during movements and interactions with objects and environment and translates those principles into the design planning and control of innovative mechatronic systems, providing significant advancements in the fields of human-robot interaction, autonomous robots, prosthetics and assistive devices. The work presented in this monograph is characterized by a significant paradigmatic shift with respect to typical approaches, as it always place the human at the center of the technology developed, and the human represents the starting point and the actual beneficiary of the developed solutions. The content of this book is targeted to robotics and neuroscience enthusiasts, researchers and makers, students and simple lovers of the matter.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 3, 2022).
Series
Springer tracts in advanced robotics ; v. 145.
Available in Other Form
Print version: 9783030925208
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Introduction
Part I: Taming the Complexity of Human Motion Generation
Understanding the Principal Modes of Natural Movements in Temporal Domain
Quantifying the Time-Invariance Properties of Upper Limb Synergies
Evidences on the Hierarchical Control of Human Hands
Part II: On the Design of Nature-Inspired Prostheses and the Assessment of Motion Impairment
Using Nature-Inspired Principles to Design of Robotic Limbs: the Soft Wrist
A Novel Approach to Quantify Motion Impairment
A novel mechatronic system for evaluating elbow muscular spasticity relying on Tonic Stretch Reflex Threshold estimation
Part III: Transferring Human Principles to Cobots and Autonomous Robots
Natural Motion: Embedding Human-Likeliness in Robot Movements
A Focus on Motion Dynamics: Planning Impedance Behaviors in Physical Interaction
Learning from Humans How to Grasp: a Reactive-Based Approach
Learning from Humans How to Grasp: Enhancing the Reaching Strategy
Learning to prevent grasp failure with soft hands: from on-line prediction to dual-arm grasp recovery
Dexterity Augmentation of Robotic Hands: a Study on the Kinetic Domain
Exploiting Principal Components for Robots Walking: an Approach for Sub-Optimal Locomotion
Conclusions and Lessons Learned.

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