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robotics and Autonomous Systems 1998年第3-4期25卷 135-136页

作者： K.-W. Jörg University of Kaiserslautern Robotics and Process Control Research Group Computer Science Department PO Box 3049 67653 Kaiserslautern Germany

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Robotic assistants for aircraft inspectors

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IEEE Instrumentation and Measurement Magazine 1998年第1期1卷 16-30页

作者： Siegel, Mel Gunatilake, Priyan Podnar, Gregg Intelligent Sensor Msrmt. C. Robotics Institute Carnegie Mellon University University of Colorado JILA University of Virginia SUNY Buffalo NY United States Extranuclear Laboratories ABB-Extrel Aircraft Diagnostics Corporation University of Alaska Fairbanks AK United States Elec. and Comp. Eng. Department Carnegie Mellon University CMU Vis. Lab. of the Robotics Institute CMU Mobile Robot Laboratory Engineering Design Research Center CMU Computer Science Department JiangXi University Robotics Institute Measurement and Control Laboratory

Various alternative aircraft inspection methods are first discussed and advantages of using robots are analysed. ANDI (Automated NonDestructive Inspector) and CIMP (Crown Inspection Mobile Platform) are then described. Remote 3D stereoscopic visual inspection is outlined and algorithms developed for crack detection and surface and subsurface corrosion detection are described. Future development trends are also outlined.

关键词： Robots Aircraft Aerospace electronics Instruments

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Intelligent multi-modal systems

British Telecom technology journal

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British Telecom technology journal 1998年第3期16卷 134-144页

作者： Tsui, K.C. Azvine, B. Djian, D. Voudouris, C. Xu, L.Q. Hong Kong Polytechnic University Hong Kong University of Essex King's College London United Kingdom BT Laboratories United Kingdom ATM Traffic Management United Kingdom Manchester University United Kingdom Dynamics and Control Research Group Engineering Department Manchester University United Kingdom Contr. and Instrum. Research Group Staffordshire University United Kingdom Intelligent Systems Research Unit BT Laboratories United Kingdom Dept. of Engineering Mathematics Bristol University United Kingdom Europ. Netwk. Excellence U. Institut d'Informatique d'Entreprise France Oxford University Robotics Research Group United Kingdom University of Nice France Ecole des Mines de Paris France Natl. Technical University of Athens Greece University of Essex United Kingdom Department of Computer Science University of Essex United Kingdom Intelligent Systems Research Group BT Laboratories United Kingdom Southeast University Nanjing China Institute of Acoustics Chinese Academy of Sciences Beijing China University of East Anglia United Kingdom University of Sussex King's College London United Kingdom University of Abertay Dundee United Kingdom

Research in human/computer interaction has mainly focused on natural language, text, speech and vision primarily in isolation. Recently there have been a number of research projects that have concentrated on the integration of such modalities using intelligent reasoners. The rationale is that many inherent ambiguities in single modes of communication can be resolved if extra information is available. This paper describes an intelligent multi-modal system called the Smart Work Manager. The main characteristics of the Smart Work Manager are that it can process speech, text, face images, gaze information and simulated gestures rising the mouse as input modalities, and its output is in the form of speech, text or graphics. The main components of the system are the reasoner, a speech system, a vision system, an integration platform and the application interface. The overall architecture of the system will be described together with the integration platform and the components of the system which include a non-intrusive neural network based gaze-tracking system. The paper concludes with a discussion on the applicability of such systems to intelligent human/computer interaction and lessons learnt in terms of reliability and efficiency.

关键词： Learning systems

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The Neural Network Model of a Robot Joint

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IFAC Proceedings Volumes 1997年第21期30卷 381-385页

作者： Jozef Suchý Jarmila Škrinárová Institute of Control Theory and Robotics Slovak Academy of Science Severná 5 974 00 Banská Bystrica Slovakia Department of Computer Science Faculty of Natural Sciences Tajovského 40 974 01 Banská Bystrica Slovakia

In the present paper the artificial neural network model of a robot joint is presented. The data used come from the real measurements on the first joint of Manutec R15 robot. The measured data correspond to the motor current and to the joint position, so that they include nonlinear phenomena like friction, backlash or stiffness present in the joint. For modelling of the robot joint based on the measured data the modification of CMAC neural network, the so called generalized CMAC (GCMAC), is used.

关键词： Modelling robot joint neural-network models

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Collision-free motion planning of a robot using safety arc

Collision-free motion planning of a robot using safety arc

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International Conference on Industrial Electronics, control and Instrumentation

作者： S.W. Lee Y.S. Nam K.D. Lee B.H. Lee M.S. Kim S.C. Kang Department of Control and Instrumentation Engineering Seoul National University Seoul South Korea Department of Computer Science Engineering Yeungnam University South Korea Robotics Laboratory Korea Institute of Science and Technology Seoul South Korea

A new concept, the safety arc, is described for collision-free motion planning of a robot. In the configuration space, the safety arc is introduced considering both the motion constraints and the collision constraint using the distance function. The safety arc is an arc-shaped set composed of the candidate configuration points from the given constraints. Based on this concept, a method for transforming the problem of collision-free motion planning into a sub-optimal collision avoidance problem (SOCAP) with linear constraints is developed. The authors adopt the minimum distance between the initial and final configuration as the performance index, hence robot motion is planned in order to minimize the moving distance in the configuration space from the initial to the final configuration subject to the given constraints. The proposed method is verified through computer simulation.

关键词： Motion planning Safety Orbital robotics Collision avoidance Path planning Robot motion Space technology Motion control Instruments computer science

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Steady‐state security evaluation of electrical power systems by means of artificial neural network

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European Transactions on Electrical Power 1995年第2期5卷 91-97页

作者： Chiodo, E. Menniti, D. Testa, A. Picardi, C. Elio Chiodo (1959) received the degree in Electronics Engineering in 1985 and the Ph.D. degree in Computational Statistics both from the University of Naplefltaly. He is a Researcher at the Department of Electrical Engineering of the University of Naples and a member of the Italian Statistical Society. His areas of interest include probabilistic methods applied to electric power systems analysis. (University of Naples Fedrrico 11. Electrical Engineering Dept.via Claudio 21 1-80125 Naplefltaly T +3981/7683226 Fax+3981/2396897) Daniele Menniti (1958) received the degree in Electrical Engineering from the University of Calabria. Cosenzataly and the Ph.D. degree in Electrical Engineering from the University of NapleslItaly in 1984 and 1989 respectively. He is a researcher at the Electronic. Computer and Systems Science Department of the University of Calabria. Italy. Hiscurrent research interests concern electric power system analysis real-time control and automation. (University of Calabria Electronic Computer and Systems Science Dep. Arcavacataji Rende (CS). 1-87036 CosenzdItaly T +39984/494707. Fax +39984/4947 13) Alfredo Testa (1950) received the degree in Electrical Engineering from the University of Naples/Italy in 1975. He is an Associate Professor in Electrical Power Systems at the Department of Electrical Engineering of the University of Naples. He is engaged in researches on electrical power systems reliability and harmonic analysis. (University of Naples Federico 11. Electrical Engineering Dep. via Claudio '2 1 1-80 I25 NapleslItaly T + 39 8 I/7 68 3'2 11. Fax+3981/2396897) Ciro Picardi (1949) received the degree in Electronics Engineering from the University of Naples/Italy in 1975. He is currently Associate Professor in Process Control at the Department of Electronic Computer and System Science of the University of Calabria. Italy. His current research interests are in the area of electrical drives robotics neural networks and fuzzy control. (University of Calabria Electronic. Compu

An artificial‐neural‐network (ANN) application for steady‐state security evaluation of electrical power systems is presented. Such application is based upon a combined use of a multilayer back‐propagation neural network and of an opportune electrical system model, previously proposed by some of the authors. In the paper, the definition of steady‐state security and the problems arising from its on‐line evaluation are briefly recalled. Then, the ANN utilized is described with particular reference to the solutions adopted by the authors. Afterwards, some remarks on the system model utilized are reported. Finally, numerical applications on the AEP‐14 bus system are presented and the results obtained with different ANN configurations are analyzed. Copyright © 1995 John Wiley & Sons, Ltd.

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THE control ARCHITECTURE OF THE PRIAMOS MOBILE SYSTEM

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control ENGINEERING PRACTICE 1994年第2期2卷 341-346页

作者： DILLMANN, R KREUZIGER, J WALLNER, F Department of Computer Science University of Karlsruhe Institute for Real-Time Computer Control Systems and Robotics P.O. Box 6980 76128 Karlsruhe Germany

In this paper the control architecture of the PRIAMOS mobile robot system is presented. It consists of four layers which integrate reactive and reflexive components in such a way that the robot can combine fast reaction to unexpected obstacles with predictive behaviour to known components in the environment. A solution for the problem of how to combine control layers which process information on different levels of abstraction and of increasing complexity is discussed. The reflexive part of the control architecture and the modification concerning the motion controller of the mobile robot which was necessary to apply the idea of reflexive navigation is described in more detail. The architecture presented allows motion tasks to be executed in partially unknown or changing environment in an efficient manner. Especially, the time-critical reflexive level is computationally less expensive than in previous approaches.

关键词： INTELLIGENT MACHINES NAVIGATION HIERARCHICALLY INTELLIGENT control ARCHITECTURE OBSTACLE AVOIDANCE ROBOTS SENSORS

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Towards a coordinated development of numerical CACSD software: the RASP/SLICOT compatibility concept

Towards a coordinated development of numerical CACSD softwar...

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IEEE International Symposium on computer Aided control System Design (CACSD)

作者： G. Grubel A. Varga A. van den Boom A.J. Geurts Control Design Engineering Institute for Robotics and System Dynamics DLR-Oberpfaffenhofen Wessling Germany Department of Electrical Engineering Eindhovan University of Technology Eindhoven Netherlands Department of Mathematics & Computer Science Eindhovan University of Technology Eindhoven Netherlands

The concept of mutual compatibility is introduced. It has arisen from the cooperation of the developers of the RASP and SLICOT libraries. With this concept it becomes feasible to coordinate the development of several libraries leading to a reduction of software implementation and testing efforts without giving up the identity of the separate libraries. A first development along the lines of the mutual compatibility concept is the recently developed model reduction library RASP-MODRED.< >

关键词： Software libraries MATLAB Data structures Software testing Mathematics Size control Lighting control control design Design engineering Robot kinematics

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Leg synchronization of a walking machine by means of backpropagation-networks

Leg synchronization of a walking machine by means of backpro...

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International Joint Conference on Neural Networks (IJCNN)

作者： K. Berns St. Piekenbrock H. Dillmann Group Interactive Planning Research Centre for Computer Science University of Karlsruhe Germany Institute for Real Time Process Control and Robotics University of Karlsruhe Germany

In this paper various approaches to synchronize leg movement of a walking machine are reported. Backpropagation-networks with diverse topologies, different types of encodings of information and of training methods are... 详细信息

关键词： Leg Legged locomotion Network topology Mobile robots Robot kinematics Neural networks Propulsion Switches Foot computer science

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The control Architecture of the Mobile System Priamos

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IFAC Proceedings Volumes 1993年第1期26卷 391-396页

作者： R. Dillmann J. Kreuziger F. Wallner University of Karlsruhe Department of Computer Science Institute for Real-Time Computer Control Systems & Robotics P.O. Box 6980. 7500 Karlsruhhe 1 Germany

In this paper the control architecture of the mobile robot system PRIAMOS is presented. It consists of four layers which integrate reactive and reflexive components in such a way that the robot can combine fast reaction to unexpected obstacles with predictive behaviour to known components in the environnement. A solution for the problem bow to combine control layers which process information on different levels of abstraction and of increasing complexity is discussed. The reflexive part of the control architecture and the modification concerning the motion controller of the mobile robot which was necessary to apply the idea of reflexive navigation is described in more details. The architecture presented allows to execute motion tasks in partially unknown or changing environment in an efficient manner. Especially the time critical reflexive level is computationally less expensive than previous approaches

关键词： Intelligent machines navigation hierarchically intelligent control architecture obstacle avoidance robots sensors

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