Machine Learning Techniques for Assistive Robotics - Rilegato

 
9783039363384: Machine Learning Techniques for Assistive Robotics
Rilegato
ISBN 10: 3039363387 ISBN 13: 9783039363384
Casa editrice: MDPI AG, 2020

Sinossi

Assistive robots are categorized as robots that share their area of work and interact with humans. Their main goals are to help, assist, and monitor humans, especially people with disabilities. To achieve these goals, it is necessary that these robots possess a series of characteristics, namely the abilities to perceive their environment from their sensors and act consequently, to interact with people in a multimodal manner, and to navigate and make decisions autonomously. This complexity demands computationally expensive algorithms to be performed in real time. The advent of high-end embedded processors has enabled several such algorithms to be processed concurrently and in real time. All these capabilities involve, to a greater or less extent, the use of machine learning techniques. In particular, in the last few years, new deep learning techniques have enabled a very important qualitative leap in different problems related to perception, navigation, and human understanding. In this Special Issue, several works are presented involving the use of machine learning techniques for assistive technologies, in particular for assistive robots.

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Editore
MDPI AG
Data di pubblicazione
2020
Lingua
Inglese
ISBN 10 
3039363387
ISBN 13 
9783039363384
Rilegatura
Copertina rigida
Numero di pagine
210
Redattore
Martinez-Martin Ester, Cazorla Miguel, Orts-Escolano Sergio
Contatto del produttore
non disponibile
Persona responsabile
Buchpark GmbH
gpsr@buchpark.de

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