Deep Learning for Robot Perception and Cognition

This book PDF is perfect for those who love Computers genre, written by Alexandros Iosifidis and published by Academic Press which was released on 04 February 2022 with total hardcover pages 638. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Deep Learning for Robot Perception and Cognition books below.

Deep Learning for Robot Perception and Cognition
Author : Alexandros Iosifidis
File Size : 49,7 Mb
Publisher : Academic Press
Language : English
Release Date : 04 February 2022
ISBN : 9780323885720
Pages : 638 pages
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Deep Learning for Robot Perception and Cognition by Alexandros Iosifidis Book PDF Summary

Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. Presents deep learning principles and methodologies Explains the principles of applying end-to-end learning in robotics applications Presents how to design and train deep learning models Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more Uses robotic simulation environments for training deep learning models Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis

Deep Learning for Robot Perception and Cognition

Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end

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Machine Learning and Robot Perception

This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object

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Machine Learning Methods for High Level Cognitive Capabilities in Robotics

Download or read online Machine Learning Methods for High Level Cognitive Capabilities in Robotics written by Emre Ugur,Tetsuya Ogata,Yiannis Demiris,Tadahiro Taniguchi,Takayuki Nagai, published by Frontiers Media SA which was released on 2019-12-24. Get Machine Learning Methods for High Level Cognitive Capabilities in Robotics Books now!

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The current state of the art in cognitive robotics, covering the challenges of building AI-powered intelligent robots inspired by natural cognitive systems. A novel approach to building AI-powered intelligent robots takes inspiration from the way natural cognitive systems—in humans, animals, and biological systems—develop intelligence by exploiting the full

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As perception stands for the acquisition of a real world representation by interaction with an environment, learning is the modification of this internal representation.This book highlights the relation between perception and learning and describes the influence of the learning in the interaction with the environment.Besides, this volume contains

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This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems. Pursuing a holistic perspective,

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Neural Network Perspectives on Cognition and Adaptive Robotics

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