Tag: Robotics

Advances in Robotics Research From Lab to Market ECHORD++ Robotic Science Supporting Innovation (2024)


Free Download Advances in Robotics Research: From Lab to Market ECHORD++: Robotic Science Supporting Innovation by Antoni Grau
English | EPUB | 2020 | 312 Pages | ISBN : 3030223264 | 124.21 MB
In this book Part I presents first an overview of the ECHORD++ project, with its mission and vision together with a detailed structure of its functionalities and instruments: Experiments, Robotic Innovation Facilities and Public end-user Driven Technology Innovation PDTI.

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Robotics for Programmers (MEAP V07)


Free Download Robotics for Programmers (MEAP V07)
English | 2023 | ISBN: 9781633439634 | 540 Pages | PDF EPUB | 31 MB
Master the skills you need to program robots and other mechanical systems. Interesting examples and clear explanations guide you through programming robot arms, robots that drive and fly, and mobile manipulators.

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Informatics in Control, Automation and Robotics


Free Download Informatics in Control, Automation and Robotics
English | 2023 | ISBN: 3031483022 | 280 Pages | PDF EPUB (True) | 62 MB
The book focuses the latest endeavors relating researches and developments conducted in fields of control, robotics, and automation. Through ten revised and extended articles, the present book aims to provide the most up-to-date state-of-the-art of the aforementioned fields allowing researcher, Ph.D. students, and engineers not only updating their knowledge but also benefiting from the source of inspiration that represents the set of selected articles of the book.

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Easy Robotics


Free Download Easy Robotics: Learn the Basics of Electronics in a Simple and Practical Way
by Raphael R.

English | 2023 | ISBN: N/A | ASIN: B0CQ5LNFDF | 59 Pages | PDF | 8 MB

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Data Mining for Social Robotics Toward Autonomously Social Robots


Free Download Yasser Mohammad, "Data Mining for Social Robotics: Toward Autonomously Social Robots"
English | 2015 | pages: 340 | ISBN: 3319797557, 3319252305 | PDF | 9,2 mb
This book explores an approach to social robotics based solely on autonomous unsupervised techniques and positions it within a structured exposition of related research in psychology, neuroscience, HRI, and data mining. The authors present an autonomous and developmental approach that allows the robot to learn interactive behavior by imitating humans using algorithms from time-series analysis and machine learning.

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