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  1. 1 Multi-modal Robot Interfaces

    The goal of effective interaction between user and robot assistant makes it essential to provide a number of broadly utilizable and potentially...
    Prof. Dr. Erwin Prassler, Dr. Andreas Stopp, ... Prof. Dr.-Ing. Rüdiger Dillmann in Advances in Human-Robot Interaction
    Chapter

  2. Safety Improvement by Fault Diagnosis and Fault Recovery for the Perceptual System of Mobile Robots

    This paper present an approach to safe navigation of autonomous mobile systems within partially known or unknown dynamic environments. In this...
    Dirk Bank in Advances in Human-Robot Interaction
    Chapter

  3. Towards Benchmarking of Domestic Robotic Assistants

    As service robotics research advances rapidly, availability of objective, reproducible test specifications and evaluation criteria and also of...
    I. Iossifidis, G. Lawitzky, ... R. Zöllner in Advances in Human-Robot Interaction
    Chapter

  4. Tactile Interaction between Human and Robot

    In the field of service robotics, robots serve and assist human beings. Ways to interact with the robot are required. For human a natural way of...
    Thomas Wösch, Wendelin Feiten in Advances in Human-Robot Interaction
    Chapter

  5. A Cooperative Robotic Assistant for Human Environments

    CoRA is a robotic assistant whose task is to collaborate with a human operator on simple manipulation or handling tasks. Its sensory channels...
    Ioannis Iossifidis, Carsten Bruckhoff, ... Gregor Schöner in Advances in Human-Robot Interaction
    Chapter

  6. Behavior Generation for Anthropomorphic Robots by means of Dynamical Systems

    This article describes the current state of our research on anthropomorphic robots. Our aim is to make the reader familiar with the two basic...
    Ioannis Iossifidis, Axel Steinhage in Advances in Human-Robot Interaction
    Chapter

  7. Touch: The Intuitive Type of Human and Robot Interaction

    The mobile service robots will share their workspaces e.g. offices, hospitals or households with humans. Thus a direct contact between man and...
    G. Grunwald, G. Schreiber, ... G. Hirzinger in Advances in Human-Robot Interaction
    Chapter

  8. 3 Learning, Programming and Instructing

    Effective assistance demands a system-immanent intelligence in order to achieve high flexibility and robustness. Predefined functionalities serve...
    Prof. Dr. Erwin Prassler, Dr. Andreas Stopp, ... Prof. Dr.-Ing. Rüdiger Dillmann in Advances in Human-Robot Interaction
    Chapter

  9. 7 Systems and Applications

    Robot assistants which support the worker in production environments or help in performing domestic chores have always been a dream of mankind.
    Prof. Dr. Erwin Prassler, Dr. Andreas Stopp, ... Prof. Dr.-Ing. Rüdiger Dillmann in Advances in Human-Robot Interaction
    Chapter

  10. Coordinating the Motion of a Human and a Robot in a Crowded, Natural Environment

    In this paper we describe the problem of coordinating the motion of a mobile robot with a moving guide in dynamic, continuously changing...
    Boris Kluge, Dirk Bank, ... Matthias Strobel in Advances in Human-Robot Interaction
    Chapter

  11. Instructing a Robot Assistant through Speech and Gesture

    Commanding mobile robot assistants still requires classical user interfaces, which in general afford an adaption of the user to the man-machine...
    O. Rogalla, M. Ehrenmann, ... R. Dillmann in Advances in Human-Robot Interaction
    Chapter

  12. Simulated Annealing Approach for the Multi-objective Facility Layout Problem

    In general, facility layout problems are occurred if there are changes in requirements of space, people and equipments. When the changes of...
    Umut R. Tuzkaya, Tijen Ertay, Da Ruan in Intelligent Data Mining
    Chapter

  13. Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction

    In customer (dis)satisfaction research, analytic methods are needed to capture the complex relationship between overall (dis)satisfaction with a...
    Koen Vanhoof, Pieter Pauwels, ... Geert Wets in Intelligent Data Mining
    Chapter

  14. Association Rule Based Specialization in ER Models

    Association rules (ARs) emerged in the domain of market basket analysis and provide a convenient and effective way to identify and represent certain...
    Martine De Cock, Chris Cornelis, ... Etienne E. Kerre in Intelligent Data Mining
    Chapter

  15. Mining Association Rules with Rough Sets

    We say that there is an association between two sets of items when the sets are likely to occur together in transactions. In information retrieval,...
    D.A. Bell, J.W. Guan, D.Y. Liu in Intelligent Data Mining
    Chapter

  16. A User Centred Approach to Management Decision Making

    The management decision making process is becoming increasingly complicated as more detailed and extensive data is available in this information age....
    L.P. Maguire, T.A. McCloskey, ... R. McIvor in Intelligent Data Mining
    Chapter

  17. Techniques to Improve Multi-Agent Systems for Searching and Mining the Web

    Nowadays, an abundant amount of information is created and delivered over electronic media. The information gathering in the Internet is a complex...
    E. Herrera-Viedma, C. Porcel, ... A.G. Lopez-Herrera in Intelligent Data Mining
    Chapter

  18. Gene Regulating Network Discovery

    Gene regulation has been an important research topic for the past 30 years and data processing models based on different assumptions have been...
    Yingjun Cao, Paul P. Wang, Alade Tokuta in Intelligent Data Mining
    Chapter

  19. Semantic Relations and Information Discovery

    The treatment of semantic relations between terms is essential in information retrieval (IR). Each term in a thesaurus might have classes of...
    D. Cai, C.J. van Rijsbergen in Intelligent Data Mining
    Chapter

  20. Modeling the Tennessee Eastman Chemical Process Reactor Using Fuzzy Logic

    The goal of this research is to introduce the challenges associated with modeling nonlinear dynamical systems. Some of these challenges are the...
    A.F. Sheta in Fuzzy Systems Engineering
    Chapter
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