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  1. Optimizing a Production Line

    The simple production line considered in this chapter is shown in Fig. 20.1. This problem has been adapted from an example in [1]. This situation is...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  2. Queuing I: One-Step Calculations

    In this chapter we show situations where simulation can produce the same results as fuzzy calculations which employ the extension principle. We argue...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  3. Simulation Programs

    In this chapter we present some of the GPSS programs used in Chaps. 9–26. We had to omit many programs in order to keep this chapter. less that 20...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  4. Summary and Conclusions

    The first objective of this book is to explain how many systems naturally become fuzzy systems. The second objective is to show how regular (crisp)...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  5. 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,...
    Chapter
  6. 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
  7. Adaptive and Distributed Coordination Algorithms for Mobile Sensing Networks

    Consider n sites evolving within a convex polygon according to one of the following interaction laws: (i) each site moves away from the closest other...
    Francesco Bullo, Jorge Cortés in Cooperative Control
    Chapter
  8. 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
  9. 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
  10. Flocking in Teams of Nonholonomic Agents

    The motion of a group of nonholonomic mobile agents is synchronized using local control laws. This synchronization strategy is inspired by the early...
    Herbert G. Tanner, Ali Jadbabaie, George J. Pappas in Cooperative Control
    Chapter
  11. 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
  12. 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...
    Chapter
  13. 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
  14. 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
  15. A. Proof of Thm. 4.34

    Abstract not available
    Chapter
  16. Machine Shop I

    The queuing system in this chapter is shown in Fig. 11.1. This application was adopted from a problem in ([1], p.594). We continue this problem in...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  17. From Genetic Variation to Probabilistic Modeling

    Genetic algorithms ⦓GAs) [53, 83] are stochastic optimization methods inspired by natural evolution and genetics. Over the last few decades, GAs have...
    Chapter
  18. Inventory Control II

    This chapter continues the inventory control problem studied in the previous chapter. The new system is shown in Fig. 17.1. We have added two things...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  19. Project Network Model

    The project network diagram is in Fig. 26.1. This problem is modelled after an example in [2]. The project consists of various jobs that must be...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
  20. Queuing II: No One-Step Calculations

    In this chapter we will study the fuzzy system shown in Fig. 5.1 now reproduced as Fig. 9.1. This example was adapted from an example in [1]. The...
    James J. Buckley in Simulating Fuzzy Systems
    Chapter
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