2007

Recent Advances in Mechatronics

Editors:

ISBN: 978-3-540-73955-5 (Print) 978-3-540-73956-2 (Online)

Table of contents (134 chapters)

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  1. Front Matter

    Pages I-XVIII

  2. Automatic Control and Robotics

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      Pages 1-5

      Dynamical behaviors of the C axis multibody mass system with the worm gear

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      Pages 6-10

      Control unit architecture for biped robot

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      Pages 11-15

      Quantifying the amount of spatial and temporal information in video test sequences

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      Pages 16-21

      Genetic Identification of Parameters the Piezoelectric Ceramic Transducers for Cleaning System

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      Pages 22-26

      Simulation Modeling and Control of a Mobile Robot with Omnidirectional Wheels

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      Pages 27-31

      Environment detection and recognition system of a mobile robot for inspecting ventilation ducts

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      Pages 32-36

      Calculation of robot model using feed-forward neural nets

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      Pages 37-41

      EmAmigo framework for developing behavior-based control systems of inspection robots

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      Pages 42-46

      Simulation of Stirling engine working cycle

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      Pages 47-51

      Mobile robot for inspecting ventilation ducts

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      Pages 52-56

      Applications of augmented reality in machinery design, maintenance and diagnostics

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      Pages 57-61

      Approach to Early Boiler Tube Leak Detection with Artificial Neural Networks

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      Pages 62-66

      Behavior-based control system of a mobile robot for the visual inspection of ventilation ducts

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      Pages 67-71

      Simulation and Realization of Combined Snake Robot

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      Pages 72-76

      Design of Combined Snake Robot

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      Pages 77-81

      Design of small-outline robot - simulator of gait of an amphibian

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      Pages 82-86

      The necessary condition for information usefulness in signal parameter estimation

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      Pages 87-91

      Grammar Based Automatic Speech Recognition System for the Polish Language

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      Pages 92-96

      State Controller of Active Magnetic Bearing

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      Pages 97-101

      Fuzzy set approach to signal detection

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