This book provides an overview of a series of advanced research lines in robotics as well as of design and development methodologies for intelligent robots and their intelligent components. It represents a selection of extended versions of the best papers presented at the Seventh IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications IDAACS 2013 that were related to these topics. Its contents integrate state of the art computational intelligence based techniques for automatic robot control to novel distributed sensing and data integration methodologies that can be applied to intelligent robotics and automation systems. The objective of the text was to provide an overview of some of the problems in the field of robotic systems and intelligent automation and the approaches and techniques that relevant research groups within this area are employing to try to solve them. The contributions of the different authors have been grouped into four main sections: Robots, Control and Intelligence, Sensing, Collaborative automation.
The chapters have been structured to provide an easy to follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area.
Reihe
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
ISBN-13
978-87-93237-31-5 (9788793237315)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Autor*in
Black Sea State University, Ukraine
University of A Coruna, Spain
Preface; Part I. Robots: A Modular Architecture for Developing Robots for Industrial Applications; The Dynamic Characteristics of a Manipulator with Parallel Kinematic Structure Based on Experimental Data; An Autonomous Scale Ship Model for Parametric Rolling Towing Tank Testing; Part II. Control and Intelligence: Autonomous Knowledge Discovery baed on Artificial Curiosity Driven Learning by Interaction; Information Technology for Interactive Robot Task Training Through Demonstration of Movement; A Multi-Agent Reinforcement Learning Approach for the Efficient Control of Mobile Robots; Underwater Robot Intelligent Control Based on Multilayer Neural Network; Part III. Sensing: Advanced Trends in Design of Slip Displacement Sensors for Intelligent Robots; Distributed Data Acquisition and Control Systems for a Sized Autonomous Vehicle; Polymetric Sensing in Intelligent System; Design and Implementation of Wireless Sensor Network Based on Multilevel Femtocells for Home Monitoring; Part IV. Collaborative Automation: Common Framework Model for Multi purpose Underwater Data Collection Devices Deployed with Remotely Operated Vehicles; M2M in Agriculture - Business Models and Security Issues.
