Neuroergonomics in Human-Robot Interaction

Neuroergonomics in Human-Robot Interaction
Author :
Publisher : Frontiers Media SA
Total Pages : 93
Release :
ISBN-10 : 9782832502549
ISBN-13 : 2832502547
Rating : 4/5 (547 Downloads)

Book Synopsis Neuroergonomics in Human-Robot Interaction by : Giacinto Barresi

Download or read book Neuroergonomics in Human-Robot Interaction written by Giacinto Barresi and published by Frontiers Media SA. This book was released on 2022-10-17 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Neuroergonomics in Human-Robot Interaction Related Books

Neuroergonomics in Human-Robot Interaction
Language: en
Pages: 93
Authors: Giacinto Barresi
Categories: Science
Type: BOOK - Published: 2022-10-17 - Publisher: Frontiers Media SA

DOWNLOAD EBOOK

New Frontiers in Human-robot Interaction
Language: en
Pages: 339
Authors: Kerstin Dautenhahn
Categories: Computers
Type: BOOK - Published: 2011 - Publisher: John Benjamins Publishing

DOWNLOAD EBOOK

Human–Robot Interaction (HRI) considers how people can interact with robots in order to enable robots to best interact with people. HRI presents many challenge
Neuroergonomics
Language: en
Pages: 237
Authors: A. Johnson
Categories: Psychology
Type: BOOK - Published: 2013-02-21 - Publisher: Springer

DOWNLOAD EBOOK

This book covers the foundations and successes of Neuroergonomics, combining neuroscience and ergonomics to enhance efficiency and safety. An overview of the es
Human-Robot Interaction
Language: en
Pages: 264
Authors: Christoph Bartneck
Categories: Computers
Type: BOOK - Published: 2020-05-07 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

The role of robots in society keeps expanding and diversifying, bringing with it a host of issues surrounding the relationship between robots and humans. This i
Neurorobotics
Language: en
Pages: 245
Authors: Tiffany J. Hwu
Categories: Technology & Engineering
Type: BOOK - Published: 2022-11-29 - Publisher: MIT Press

DOWNLOAD EBOOK

An introduction to neurorobotics that presents approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscien