River Publishers Series in Automation, Control and Robotics
Advances in Intelligent Robotics and Collaborative Automation
Editors:
Yuriy P. Kondratenko, Black Sea State University, Ukraine
Richard J. Duro, University of A Coruña, Spain
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.
Chapter 1: A Modular Architecture for Developing Robots for Industrial Applications
by A. FaÃña, F. Orjales, D. Souto, F. Bellas
and R. J. Duro
Chapter 2: The Dynamic Characteristics of a Manipulator with Parallel Kinematic Structure Based on Experimental Data
by S. Osadchy, V. Zozulya and A. Timoshenko
Chapter 3: An Autonomous Scale Ship Model for Parametric Rolling Towing Tank Testing
by M. MÃguez González, A. Deibe, F. Orjales, B. Priego and F. López Peña
Chapter 4: Autonomous Knowledge Discovery Based on Artificial Curiosity-Driven Learning by Interaction
by K. Madani, D. M. Ramik and C. Sabourin
Chapter 5: Information Technology for Interactive Robot Task Training Through Demonstration of Movement1
by F. Kulakov and S. Chernakova
Chapter 6: A Multi-Agent Reinforcement Learning Approach for the Efficient Control of Mobile Robots
by U. Dziomin, A. Kabysh, R. Stetter and V. Golovko
Chapter 7: Underwater Robot Intelligent Control Based on Multilayer Neural Network
by D. A. Oskin, A. A. Dyda, S. Longhi and A. Monteriù
Chapter 8: Advanced Trends in Design of Slip Displacement Sensors for Intelligent Robots
by Y. P. Kondratenko and V. Y. Kondratenko
Chapter 9: Distributed Data Acquisition and Control Systems for a Sized Autonomous Vehicle
by T. Happek, U. Lang, T. Bockmeier, D. Neubauer and A. Kuznietsov
Chapter 10: Polymetric Sensing in Intelligent Systems
by Yu. Zhukov, B. Gordeev, A. Zivenko and A. Nakonechniy
Chapter 11: Design and Implementation of Wireless Sensor Network Based on Multilevel Femtocells for Home Monitoring
by D. Popescu, G. Stamatescu, A. M˘aciuc˘a and M. Strut¸u
Chapter 12: Common Framework Model for Multi-Purpose Underwater Data Collection Devices Deployed with Remotely Operated Vehicles
by M.C. Caraivan, V. Dache and V. Sgarciu
Chapter 13: M2M in Agriculture – Business Models and Security Issues
by S. Gansemer, J. Sell, U. Grossmann, E. Eren, B. Horster,
T. Horster-Möller and C. Rusch