Robust Artificial Intelligence for Neurorobotics

Robust Artificial Intelligence for Neurorobotics PDF Author: Subramanian Ramamoorthy
Publisher: Frontiers Media SA
ISBN: 2889742466
Category : Science
Languages : en
Pages : 145

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Book Description

Robust Artificial Intelligence for Neurorobotics

Robust Artificial Intelligence for Neurorobotics PDF Author: Subramanian Ramamoorthy
Publisher: Frontiers Media SA
ISBN: 2889742466
Category : Science
Languages : en
Pages : 145

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Book Description


Neuro-Robotics

Neuro-Robotics PDF Author: Panagiotis Artemiadis
Publisher: Springer
ISBN: 9401789320
Category : Medical
Languages : en
Pages : 444

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Book Description
Neuro-robotics is one of the most multidisciplinary fields of the last decades, fusing information and knowledge from neuroscience, engineering and computer science. This book focuses on the results from the strategic alliance between Neuroscience and Robotics that help the scientific community to better understand the brain as well as design robotic devices and algorithms for interfacing humans and robots. The first part of the book introduces the idea of neuro-robotics, by presenting state-of-the-art bio-inspired devices. The second part of the book focuses on human-machine interfaces for performance augmentation, which can seen as augmentation of abilities of healthy subjects or assistance in case of the mobility impaired. The third part of the book focuses on the inverse problem, i.e. how we can use robotic devices that physically interact with the human body, in order (a) to understand human motor control and (b) to provide therapy to neurologically impaired people or people with disabilities.

Hardware for Artificial Intelligence

Hardware for Artificial Intelligence PDF Author: Alexantrou Serb
Publisher: Frontiers Media SA
ISBN: 2889763986
Category : Science
Languages : en
Pages : 229

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Neurorobotics explores machine learning

Neurorobotics explores machine learning PDF Author: Fei Chen
Publisher: Frontiers Media SA
ISBN: 2832511910
Category : Science
Languages : en
Pages : 248

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Intelligent Computing

Intelligent Computing PDF Author: Kohei Arai
Publisher: Springer
ISBN: 3030228711
Category : Technology & Engineering
Languages : en
Pages : 1127

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Book Description
This book presents the proceedings of the Computing Conference 2019, providing a comprehensive collection of chapters focusing on core areas of computing and their real-world applications. Computing is an extremely broad discipline, encompassing a range of specialized fields, each focusing on particular areas of technology and types of application, and the conference offered pioneering researchers, scientists, industrial engineers, and students from around the globe a platform to share new ideas and development experiences. Providing state-of-the-art intelligent methods and techniques for solving real- world problems, the book inspires further research and technological advances in this important area.

Neurorobotics

Neurorobotics PDF Author: Tiffany J. Hwu
Publisher: MIT Press
ISBN: 0262370530
Category : Technology & Engineering
Languages : en
Pages : 245

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Book Description
An introduction to neurorobotics that presents approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. Neurorobotics is an interdisciplinary field that draws on artificial intelligence, cognitive sciences, computer science, engineering, psychology, neuroscience, and robotics. Because the brain is closely coupled to the body and situated in the environment, neurorobots—autonomous systems modeled after some aspect of the brain—offer a powerful tool for studying neural function and may also be a means for developing autonomous systems with intelligence that rivals that of biological organisms. This textbook introduces approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. It is written for anyone interested in learning about this topic and can be used in cognitive robotics courses for students in psychology, cognitive science, and computer science. Neurorobotics covers the background and foundations of the field, with information on early neurorobots, relevant principles of neuroscience, learning rules and mechanisms, and reinforcement learning and prediction; neurorobot design principles grounded in neuroscience and principles of neuroscience research; and examples of neurorobots for navigation, developmental robotics, and social robots, presented with the cognitive science and neuroscience background that inspired them. A supplementary website offers videos, robot simulations, and links to software repositories with neurorobot examples.

Bridging the Gap between Machine Learning and Affective Computing

Bridging the Gap between Machine Learning and Affective Computing PDF Author: Zhen Cui
Publisher: Frontiers Media SA
ISBN: 2832503799
Category : Science
Languages : en
Pages : 151

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Book Description
Affective computing refers to computing that relates to, arises from, or influences emotions, as pioneered by Rosalind Picard in 1995. The goal of affective computing is to bridge the gap between human and machines and ultimately enable robots to communicate with human naturally and emotionally. Recently, the research on affective computing has gained considerable progress with many fields contributing including neuroscience, psychology, education, medicine, behavior, sociology, and computer science. Current research in affective computing mainly focuses on estimating of human emotions through different forms of signals, e.g., face video, EEG, Speech, PET scans or fMRI. Inferring the emotion of humans is difficult, as emotion is a subjective, unconscious experience characterized primarily by psycho-physiological expressions and biological reactions. It is influenced by hormones and neurotransmitters such as dopamine, noradrenaline, serotonin, oxytocin, GABA… etc. The physiology of emotion is closely linked to arousal of the nervous system with various states and strengths relating, apparently, to different particular emotions. To understand “emotion” or “affect” merely by machine learning or big data analysis is not enough, but the understanding and applications from the intrinsic features of emotions from the neuroscience aspect is essential.

WIPO Technology Trends 2019 - Artificial Intelligence

WIPO Technology Trends 2019 - Artificial Intelligence PDF Author: World Intellectual Property Organization
Publisher: WIPO
ISBN: 9280530070
Category : Law
Languages : en
Pages : 156

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Book Description
The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.

Artificial Neural Networks and Machine Learning – ICANN 2024

Artificial Neural Networks and Machine Learning – ICANN 2024 PDF Author: Michael Wand
Publisher: Springer Nature
ISBN: 3031723597
Category :
Languages : en
Pages : 469

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Book Description


Bio A.I. - From Embodied Cognition to Enactive Robotics

Bio A.I. - From Embodied Cognition to Enactive Robotics PDF Author: Adam Safron
Publisher: Frontiers Media SA
ISBN: 2832536166
Category : Science
Languages : en
Pages : 392

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Book Description
Even before the deep learning revolution, the landscape of artificial intelligence (AI) was already changing drastically in the 90s. Embodied intelligence, it was proposed, must play a crucial role in the design of intelligent machines. This new wave was inspired by what is today known as Embodied and Enactive Cognitive Science or E-Cognition, which considers that cognitive activity does not reduce to the intellectual capacities of agents being able to represent their environments. E-cognition set AI and robotics in a new direction, in which intelligent machines are required to interact with the environment, and where this interaction does not reduce to explicit representations or prespecified algorithms. These ideas revolutionized the way we think about intelligent machines and cognition, but these theoretical advances are only partially reflected in modern approaches to AI and machine learning (ML). Despite deeply impressive achievements, AI/ML still struggles to recapitulate the kinds of intelligence we find in natural systems, whether we are considering individual insects (e.g. simultaneous localization and mapping), or swarm behaviour (e.g. forum sensing and ensemble inferences), and especially the kinds of flexibility and high-level reasoning characteristic of human cognition.