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  1. Dependability of Mobile Robots in Direct Interaction with Humans

    Operating interactive mobile robots in unmodified natural environments such as in museums or at exposition areas impose requirements on the robots,...
    Birgit Graf in Advances in Human-Robot Interaction
    Chapter

  2. Next Generation Teach Pendants for Industrial Robots

    Teach pendants for industrial robots have sometimes been quite rudimentary in the past, and often enough users had to learn to cope with whatever is...
    Arif Kazi, Jens Bunsendal, ... Rainer Bischoff in Advances in Human-Robot Interaction
    Chapter

  3. 4 Co-existence: Physical Interaction and Coordinated Motion

    Co-existence an co-operation between a human and a machine which can move and act in an autonomous mode involves a form of interaction which goes...
    Prof. Dr. Erwin Prassler, Dr. Andreas Stopp, ... Prof. Dr.-Ing. Rüdiger Dillmann in Advances in Human-Robot Interaction
    Chapter

  4. The Robotic Bar – An Integrated Demonstration of a Robotic Assistant

    Coming out of the labs, the first robots are currently appearing on the consumer market. Initially they target rather simple application scenarios...
    G. v. Wichert, C. Klimowicz, ... M. Rinne in Advances in Human-Robot Interaction
    Chapter

  5. Learning Behavioral Sequences by Means of Nonlinear Dynamics

    We present a software architecture for the behavioral organization of a mobile robot which is entirely based on nonlinear dynamical systems. The...
    Axel Steinhage, Thomas Bergener in Advances in Human-Robot Interaction
    Chapter

  6. The Control Architecture of Care-O-bot II

    Robot assistants act in dynamic environments and have to cope with changing situations: they must be able to sense the world and to control their...
    Matthias Hans in Advances in Human-Robot Interaction
    Chapter

  7. Robotic Home Assistant Care-O-bot II

    Technical aids allow elderly and handicapped people to live independently in their private homes as long as they wish. As a contribution to these...
    Matthias Hans, Birgit Graf in Advances in Human-Robot Interaction
    Chapter

  8. Statistical Recognition of Motion Patterns

    One key prerequisite for a machine to interact intelligently with people is its ability to recognize humans as interaction partners and to understand...
    Jörg Illmann, Boris Kluge, ... Matthias Strobel in Advances in Human-Robot Interaction
    Chapter

  9. Optimization of Image Compression Method Based on Fuzzy Relational Equations by Overlap Level of Fuzzy Sets

    A design method of coders on YUV color space is proposed based on an overlap level of fuzzy sets, in order to optimize the image...
    Hajime Nobuhara, Eduardo Masato Iyoda, ... Witold Pedrycz in Computational Intelligence for Modelling and Prediction
    Chapter

  10. Multi-layer Image Transmission with Inverse Pyramidal Decomposition

    This paper presents a new image compression method based on the Inverse Difference Pyramid (IDP) decomposition, and one specific application of this...
    Roumen Kountchev, Mariofanna Milanova, ... Roumiana Kountcheva in Computational Intelligence for Modelling and Prediction
    Chapter

  11. A Fuzzy Rule-Based Trading Agent: Analysis and Knowledge Extraction

    In this paper, we show how a fuzzy rule-based system is developed for trading in a futures market. By our fuzzy rule-based system, an agent...
    Tomoharu Nakashima, Takanobu Ariyama, ... Hisao Ishibuchi in Computational Intelligence for Modelling and Prediction
    Chapter

  12. Non-Iterative ICA for Detecting Motion in Image Sequences

    The ICA (Independent Component Analysis) technique can be used to detect difference in a sequence of images. However, most implementations of this...
    Yu Wei, Charayaphan Charoensak in Computational Intelligence for Modelling and Prediction
    Chapter

  13. Fuzzy Congestion Control In Packet Networks

    In this paper an adaptive fuzzy congestion control solution for active queue management in packet switched networks which use TCP to solve end-to-end...
    Tapio Frantti in Computational Intelligence for Modelling and Prediction
    Chapter

  14. Mining Technical Patterns in The U. S. Stock Market through Soft Computing

    Technical analysis has been a part of financial practice for many decades. One of the most challenging areas in technical analysis is the automatic...
    Ming Dong, Xu-Shen Zhou in Computational Intelligence for Modelling and Prediction
    Chapter

  15. Multiple Feature Relevance Feedback in Content- Based Image Retrieval using Probabilistic Inference Networks

    The BIR content based image retrieval system uses a Bayesian belief network architecture to match query by example images to images in a database....
    Campbell Wilson, Bala Srinivasan in Computational Intelligence for Modelling and Prediction
    Chapter

  16. Measuring User Satisfaction in Web Searching

    Search engines are among the most popular as well as useful services on the web. But the problem we face is due to the large number of search engines...
    M. M. Sufyan Beg, Nesar Ahmad in Computational Intelligence for Modelling and Prediction
    Chapter

  17. Distances Between Intuitionistic Fuzzy Sets and their Applications in Reasoning

    In this article we propose the use of intuitionistic fuzzy sets (Atanassov [2]) as a tool for reasoning under imperfect facts and imprecise...
    Eulalia Szmidt, Janusz Kacprzyk in Computational Intelligence for Modelling and Prediction
    Chapter

  18. On The Generalization of Fuzzy Rough Approximation Based on Asymmetric Relation

    An asymmetric relation, called a weak similarity relation, is introduced as a more realistic relation in representing the relationship between two...
    Rolly Intan, Masao Mukaidono in Computational Intelligence for Modelling and Prediction
    Chapter

  19. A Fuzzy Method for Learning Simple Boolean Formulas from Examples

    We discuss a method for inferring Boolean functions from examples. The method is inherently fuzzy in two respects: i) we work with a pair of formulas...
    Bruno Apolloni, Andrea Brega, ... Anna Maria Zanaboni in Computational Intelligence for Modelling and Prediction
    Chapter

  20. Connectionist Fuzzy Relational Systems

    There have been an enormous number of fuzzy systems developed so far. For excellent surveys the reader is referred to [1][3][5][7][9][10][18][19]....
    Rafał Scherer, Leszek Rutkowski in Computational Intelligence for Modelling and Prediction
    Chapter
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