Braz / Araújo / Vieira Informatics in Control, Automation and Robotics I

1. Auflage 2006
ISBN: 978-1-4020-4543-1
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 290 Seiten, eBook

The present book includes a set of selected papers from the first “International Conference on Informatics in Control Automation and Robotics” (ICINCO 2004), held in Setúbal, Portugal, from 25 to 28 August 2004. The conference was organized in three simultaneous tracks: “Intelligent Control Systems and Optimization”, “Robotics and Automation” and “Systems Modeling, Signal Processing and Control”. The book is based on the same structure. Although ICINCO 2004 received 311 paper submissions, from 51 different countries in all continents, only 115 where accepted as full papers. From those, only 29 were selected for inclusion in this book, based on the classifications provided by the Program Committee. The selected papers also reflect the interdisciplinary nature of the conference. The diversity of topics is an importante feature of this conference, enabling an overall perception of several important scientific and technological trends. These high quality standards will be maintained and reinforced at ICINCO 2005, to be held in Barcelona, Spain, and in future editions of this conference. Furthermore, ICINCO 2004 included 6 plenary keynote lectures and 2 tutorials, given by internationally recognized researchers. Their presentations represented an important contribution to increasing the overall quality of the conference, and are partially included in the first section of the book.

Zielgruppe

Research

Autoren/Hrsg.

Araújo, Helder

Braz, Jose

Encarnação, Bruno

Vieira, Alves

Braz, José

Inhaltsverzeichnis

INVITED SPEAKERS.- ROBOT-HUMAN INTERACTION Practical experiments with a cyborg.- INDUSTRIAL AND REAL WORLD APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS Illusion or reality?.- THE DIGITAL FACTORY Planning and simulation of production in automotive industry.- WHAT’S REAL IN “REAL-TIME CONTROL SYSTEMS”? Applying formal verification methods and real-time rule-based systems to control systems and robotics.- SUFFICIENT CONDITIONS FOR THE STABILIZABILITY OF MULTI-STATE UNCERTAIN SYSTEMS, UNDER INFORMATION CONSTRAINTS.- Intelligent Control Systems and Optimization.- DEVICE INTEGRATION INTO AUTOMATION SYSTEMS WITH CONFIGURABLE DEVICE HANDLER.- NON LINEAR SPECTRAL SDP METHOD FOR BMI-CONSTRAINED PROBLEMS : APPLICATIONS TO CONTROL DESIGN.- A STOCHASTIC OFF LINE PLANNER OF OPTIMAL DYNAMIC MOTIONS FOR ROBOTIC MANIPULATORS.- FUZZY MODEL BASED CONTROL APPLIED TO IMAGE-BASED VISUAL SERVOING.- AN EVOLUTIONARY APPROACH TO NONLINEAR DISCRETE-TIME OPTIMAL CONTROL WITH TERMINAL CONSTRAINTS.- A DISTURBANCE COMPENSATION CONTROL FOR AN ACTIVE MAGNETIC BEARING SYSTEM BY A MULTIPLE FXLMS ALGORITHM.- AN INTELLIGENT RECOMMENDATION SYSTEM BASED ON FUZZY LOGIC.- MODEL REFERENCE CONTROL IN INVENTORY AND SUPPLY CHAIN MANAGEMENT The implementation of a more suitable cost function.- AN LMI OPTIMIZATION APPROACH FOR GUARANTEED COST CONTROL OF SYSTEMS WITH STATE AND INPUT DELAYS.- USING A DISCRETE-EVENT SYSTEM FORMALISM FOR THE MULTI-AGENT CONTROL OF MANUFACTURING SYSTEMS.- Robotics and Automation.- FORCE RIPPLE COMPENSATOR FOR A VECTOR CONTROLLED PM LINEAR SYNCHRONOUS MOTOR.- HYBRID CONTROL DESIGN FOR A ROBOT MANIPULATOR IN A SHIELD TUNNELING MACHINE.- MOCONT LOCATION MODULE: A CONTAINER LOCATION SYSTEM BASED ON DR/DGNSS INTEGRATION.- PARTIAL VIEWS MATCHING USING A METHOD BASED ON PRINCIPALCOMPONENTS.- TOWARDS A CONCEPTUAL FRAMEWORK-BASED ARCHITECTURE FOR UNMANNED SYSTEMS.- A INTERPOLATION-BASED APPROACH TO MOTION GENERATION FOR HUMANOID ROBOTS.- REALISTIC DYNAMIC SIMULATION OF AN INDUSTRIAL ROBOT WITH JOINT FRICTION.- A NEW PARADIGM FOR SHIP HULL INSPECTION USING A HOLONOMIC HOVER-CAPABLE AUV.- DIMSART: A REAL TIME - DEVICE INDEPENDENT MODULAR SOFTWARE ARCHITECTURE FOR ROBOTIC AND TELEROBOTIC APPLICATIONS.- Signal Processing,Systems Modeling and Control.- ON MODELING AND CONTROL OF DISCRETE TIMED EVENT GRAPHS WITH MULTIPLIERS USING (MIN, +) ALGEBRA.- MODEL PREDICTIVE CONTROL FOR HYBRID SYSTEMS UNDER A STATE PARTITION BASED MLD APPROACH (SPMLD).- EFFICIENT SYSTEM IDENTIFICATION FOR MODEL PREDICTIVE CONTROL WITH THE ISIAC SOFTWARE.- TWO-DIMENSIONAL BARCODE SYMBOLOGY PDF417 IMPROVING PERFORMANCE OF THE DECODER FOR.- CONTEXT IN ROBOTIC VISION Control for real-time adaptation.- DYNAMIC STRUCTURE CELLULAR AUTOMATA IN A FIRE SPREADING APPLICATION.- SPEAKER VERIFICATION SYSTEM Based on the stochastic modeling.- MOMENT-LINEAR STOCHASTIC SYSTEMS.- ACTIVE ACOUSTIC NOISE CONTROL IN DUCTS.- HYBRID UML COMPONENTS FOR THE DESIGN OF COMPLEX SELF-OPTIMIZING MECHATRONIC SYSTEMS.

Leseproben

ROBOT-HUMAN INTERACTION (p. 3)

Practical experiments with a cyborg

Kevin Warwick
Department of Cybernetics, University of Reading,
Whiteknights, Reading, RG6 6AY, UK
Abstract: This paper presents results to indicate the potential applications of a direct connection between the human nervous system and a computer network. Actual experimental results obtained from a human subject study are given, with emphasis placed on the direct interaction between the human nervous system and possible extra-sensory input.

An brief overview of the general state of neural implants is given, as well as a range of application areas considered. An overall view is also taken as to what may be possible with implant technology as a general purpose human-computer interface for the future.

1 INTRODUCTION

There are a number of ways in which biological signals can be recorded and subsequently acted upon to bring about the control or manipulation of an item of technology, (Penny et al., 2000, Roberts et al., 1999). Conversely it may be desired simply to monitor the signals occurring for either medical or scientific purposes.

In most cases, these signals are collected externally to the body and, whilst this is positive from the viewpoint of non-intrusion into the body with its potential medical side-effects such as infection, it does present enormous problems in deciphering and understanding the signals observed (Wolpaw et al., 1991, Kubler et al., 1999).

Noise can be a particular problem in this domain and indeed it can override all other signals, especially when compound/collective signals are all that can be recorded, as is invariably the case with external recordings which include neural signals.

A critical issue becomes that of selecting exactly which signals contain useful information and which are noise, and this is something which may not be reliably achieved. Additionally, when specific, targeted stimulation of the nervous system is required, this is not possible in a meaningful way for control purposes merely with external connections.

The main reason for this is the strength of signal required, which makes stimulation of unique or even small subpopulations of sensory receptor or motor unit channels unachievable by such a method.

A number of research groups have concentrated on animal (non-human) studies, and these have certainly provided results that contribute generally to the knowledge base in the field. Unfortunately actual human studies involving implants are relatively limited in number, although it could be said that research into wearable computers has provided some evidence of what can be done technically with bio-signals.

We have to be honest and say that projects which involve augmenting shoes and glasses with microcomputers (Thorp, 1997) are perhaps not directly useful for our studies, however monitoring indications of stress or alertness by this means can be helpful in that it can give us an idea of what might be subsequently achievable by means of an implant.

Of relevance here are though studies in which a miniature computer screen was fitted onto a standard pair of glasses.