Frontiers in Neurorobotics – Editor’s Pick 2021 PDF Download

Author: Florian Röhrbein
Publisher: Frontiers Media SA
ISBN: 2889668983
Category : Science
Languages : en
Pages : 159

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Book Description

Author: Jan G. Bjaalie
Publisher: Frontiers Media SA
ISBN: 2832515959
Category : Science
Languages : en
Pages : 352

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Book Description

Author: André van Schaik
Publisher: Frontiers Media SA
ISBN: 2889711617
Category : Science
Languages : en
Pages : 177

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Book Description

Author: Kostas J. Kyriakopoulos
Publisher: Frontiers Media SA
ISBN: 2832543472
Category : Technology & Engineering
Languages : en
Pages : 124

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Book Description
For the second year in a row, we are very happy to offer our readership an ebook of 10 articles that have achieved widespread acceptance within our core audience and beyond. This time it concerns articles published in 2023, a landmark year for this journal, as it was officially awarded its first impact factor. These papers are among the large number that attained significant interest last year, but we selected just 10, which we consider to be the “best”. These articles have already made an impact in the form of original research or comprehensive reviews. As the Field Chief Editor, I would like to stand alongside our journal staff to honor all authors who contributed very high-level papers to the journal last year and are contributing to our success. We also thank the editors and reviewers of these papers, and of all papers this past year, for their invaluable contribution.

Author: Florian Röhrbein
Publisher: Frontiers Media SA
ISBN: 2832505902
Category : Science
Languages : en
Pages : 165

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Book Description

Author: R. A. R. C. Gopura
Publisher: Frontiers Media SA
ISBN: 2889745929
Category : Science
Languages : en
Pages : 156

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Book Description

Author: Xin Jin
Publisher: Frontiers Media SA
ISBN: 2889769453
Category : Science
Languages : en
Pages : 179

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Book Description

Author: Nicoletta Noceti
Publisher: Springer Nature
ISBN: 3030467325
Category : Computers
Languages : en
Pages : 351

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Book Description
The new frontiers of robotics research foresee future scenarios where artificial agents will leave the laboratory to progressively take part in the activities of our daily life. This will require robots to have very sophisticated perceptual and action skills in many intelligence-demanding applications, with particular reference to the ability to seamlessly interact with humans. It will be crucial for the next generation of robots to understand their human partners and at the same time to be intuitively understood by them. In this context, a deep understanding of human motion is essential for robotics applications, where the ability to detect, represent and recognize human dynamics and the capability for generating appropriate movements in response sets the scene for higher-level tasks. This book provides a comprehensive overview of this challenging research field, closing the loop between perception and action, and between human-studies and robotics. The book is organized in three main parts. The first part focuses on human motion perception, with contributions analyzing the neural substrates of human action understanding, how perception is influenced by motor control, and how it develops over time and is exploited in social contexts. The second part considers motion perception from the computational perspective, providing perspectives on cutting-edge solutions available from the Computer Vision and Machine Learning research fields, addressing higher-level perceptual tasks. Finally, the third part takes into account the implications for robotics, with chapters on how motor control is achieved in the latest generation of artificial agents and how such technologies have been exploited to favor human-robot interaction. This book considers the complete human-robot cycle, from an examination of how humans perceive motion and act in the world, to models for motion perception and control in artificial agents. In this respect, the book will provide insights into the perception and action loop in humans and machines, joining together aspects that are often addressed in independent investigations. As a consequence, this book positions itself in a field at the intersection of such different disciplines as Robotics, Neuroscience, Cognitive Science, Psychology, Computer Vision, and Machine Learning. By bridging these different research domains, the book offers a common reference point for researchers interested in human motion for different applications and from different standpoints, spanning Neuroscience, Human Motor Control, Robotics, Human-Robot Interaction, Computer Vision and Machine Learning. Chapter 'The Importance of the Affective Component of Movement in Action Understanding' of this book is available open access under a CC BY 4.0 license at link.springer.com.

Author: Xiao Bai
Publisher: Frontiers Media SA
ISBN: 2832522696
Category : Science
Languages : en
Pages : 155

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Book Description

Author: Long Jin
Publisher: Frontiers Media SA
ISBN: 2832552013
Category : Science
Languages : en
Pages : 301

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Book Description
Neural network control has been a research hotspot in academic fields due to the strong ability of computation. One of its wildly applied fields is robotics. In recent years, plenty of researchers have devised different types of dynamic neural network (DNN) to address complex control issues in robotics fields in reality. Redundant manipulators are no doubt indispensable devices in industrial production. There are various works on the redundancy resolution of redundant manipulators in performing a given task with the manipulator model information known. However, it becomes knotty for researchers to precisely control redundant manipulators with unknown model to complete a cyclic-motion generation CMG task, to some extent. It is worthwhile to investigate the data-driven scheme and the corresponding novel dynamic neural network (DNN), which exploits learning and control simultaneously. Therefore, it is of great significance to further research the special control features and solve challenging issues to improve control performance from several perspectives, such as accuracy, robustness, and solving speed.