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Engineering - Computational Intelligence and Complexity | Recent Advances in Robotics and Automation

Recent Advances in Robotics and Automation

Sen Gupta, G., Bailey, D., Demidenko, S., Carnegie, D. (Eds.)

2013, XV, 344 p. 214 illus.

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  • Presents theoretical and methodological aspects of incorporating intelligence in robots and automation systems
  • State-of-the-art methodologies in Robotics and Automation
  • Edited outcome of the 5th International Conference on Automation, Robotics and Applications (ICARA 2011), held in Wellington, New Zealand from 6-8 December, 2011

There isn’t a facet of human life that has not been touched and influenced by robots and automation. What makes robots and machines versatile is their computational intelligence. While modern intelligent sensors and powerful hardware capabilities have given a huge fillip to the growth of intelligent machines, the progress in the development of algorithms for smart interaction, collaboration and pro-activeness will result in the next quantum jump.

This book deals with the recent advancements in design methodologies, algorithms and implementation techniques to incorporate intelligence in robots and automation systems. Several articles deal with navigation, localization and mapping of mobile robots, a problem that engineers and researchers are grappling with all the time. Fuzzy logic, neural networks and neuro-fuzzy based techniques for real world applications have been detailed in a few articles.

This edited volume is targeted to present the latest state-of-the-art computational intelligence techniques in Robotics and Automation. It is a compilation of the extended versions of the very best papers selected from the many that were presented at the 5th International Conference on Automation, Robotics and Applications (ICARA 2011) which was held in Wellington, New Zealand from 6-8 December, 2011. Scientists and engineers who work with robots and automation systems will find this book very useful and stimulating.

Content Level » Research

Keywords » Automation - Computational Intelligence - Control Engineering - Evolutionary Computing - Robotics - Sensors

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity - Robotics

Table of contents 

Neural Network Development and Training for the Simulation of Dynamic Robot Movement Behavior.- Neural Network Control of Buoyancy-Driven Autonomous Underwater Glider [1].- Autonomous Guided Car using a Fuzzy Controller.- On-Line Adaptive Fuzzy Modeling and Control for Autonomous Underwater Vehicle.- Process Rescheduling and Path Planning Using Automation Agents.- Model based Path planning modulel.- Autonomous Navigation and Mapping with CoreSLAM.- A 3D Path Planning Approach extended by Bifurcation Theory for Formation Flights.

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