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2007 IEEE International Workshop on Imaging Systems and Techniques, IST'07

作者： Amanatiadis, A. Andreadis, I. Gasteratos, A. Kyriakoulis, N. Laboratory of Electronics Department of Electrical and Computer Engineering Democritus University of Thrace 12 Vas. Sofias Str. GR-67100 Xanthi Greece Laboratory of Robotics and Automation Department of Production and Management Engineering Democritus University of Thrace GR-67100 Xanthi Greece

ISBN: (纸本)1424409659

Remotely operated robots equipped with on board cameras, apart from providing video input to operators, perform optical measurements to assist their navigation as well. Such image processing algorithms require image sequences, free of high frequency unwanted movements, in order to generate their optimal results. Image stabilization is the process which removes the undesirable position fluctuations of a video sequence improving, therefore, its visual quality. In this paper, we introduce the implementation of an image stabilization system that utilizes input from an on board camera and a gyrosensor. The frame sequence is processed by an optic flow algorithm and the inertial data is processed by a discrete Kalman filter. The compensation is performed using two servo motors for the pan and tilt movements and frame shifting for the vertical and horizontal movements, Experimental results of the robot head, have shown fine stabilized image sequences and a system capable of processing 320 × 240 Pixel image sequences at approximately 10 frames/ sec, with a maximum acceleration of 4 deg/sec2. © 2007 IEEE.

关键词： Image analysis

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A log-polar interpolation applied to image scaling

A log-polar interpolation applied to image scaling

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2007 IEEE International Workshop on Imaging Systems and Techniques, IST'07

作者： Amanatiadis, A. Andreadis, I. Gasteratos, A. Laboratory of Electronics Department of Electrical and Computer Engineering Democritus University of Thrace 12 Vas. Sofias Str. GR-67100 Xanthi Greece Laboratory of Robotics and Automation Department of Production and Management Engineering Democritus University of Thrace GR-67100 Xanthi Greece

ISBN: (纸本)1424409659

This paper proposes a bio-inspired interpolation algorithm suitable for image scaling. A log-polar neighbor model is adopted, utilizing the feature of applying larger weights to pixels at the center of the interpolation region and logarithmically decreasing weights to pixels away from the center, The interpolation is performed in the Cartesian plane without requiring the full transformation of the image to the log-polar plane, Experiments show that in both visual comparisons and quantitative analysis, the results extracted by the proposed log-polar neighbor model are better than those extracted from pixel repetition, bilinear and bicubic interpolation, ©2007 IEEE.

关键词： Image analysis

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Novel Carbon Nanotube Deposition System for Fabricating Nano Devices

Novel Carbon Nanotube Deposition System for Fabricating Nano...

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IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)

作者： King W. C. Lai Ning Xi Robotics and Automation Laboratory Michigan State University USA Department of Electrical and Computer Engineering Michigan State University USA

Carbon nanotubes (CNTs) are found to be promising material for nanoelectronics due to its ultra small size and unique properties. It provides the possibility of miniaturizing conventional electronic devices, and therefore, people have focused on exploring its applications in nanoelectronics, such as replacing the conventional transistors, resisters and sensors, etc. In order to study its properties and use them as novel devices, methods to manipulate such nano sized particles on micro electrodes have to be developed. Since the size of CNTs is in nano scale, traditional robotic manipulation and assembly cannot be applied. A novel and effective CNT manipulation method is developed and presented in this paper. An automatic and robotic CNT deposition system is used to manipulate CNT across micro electrodes precisely by dielectrophertic (DEP) force. It is also integrated with micromanipulator, micro pump and micro pipette to deposit CNT dilution in desired positions of micro electrodes. This system can potentially be used to fabricate and manufacture an array of CNT based sensors, resulting in a fast, automatic and feasible method for batch making and assembling nano devices.

关键词： Carbon nanotubes Electrodes Sensor arrays Nanoelectronics Robotic assembly robotics and automation Organic materials Robot sensing systems Force sensors Micromanipulators

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Novel Architecture for supporting medical decision making of different data types based on Fuzzy Cognitive Map Framework

Novel Architecture for supporting medical decision making of...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Elpiniki Papageorgiou Chrysostomos Stylios Peter Groumpos Laboratory for Automation and Robotics Department of Electrical and Computer Engineering University of Patras Greece Intelligent Computing Laboratory Department of Informatics and Telecommunications Technology TEI Epirus Greece

Medical problems involve different types of variables and data, which have to be processed, analyzed and synthesized in order to reach a decision and/or conclude to a diagnosis. Usually, information and data set are both symbolic and numeric but most of the well-known data analysis methods deal with only one kind of data. Even when fuzzy approaches are considered, which are not depended on the scales of variables, usually only numeric data is considered. The medical decision support methods usually are accessed in only one type of available data. Thus, sophisticated methods have been proposed such as integrated hybrid learning approaches to process symbolic and numeric data for the decision support tasks. Fuzzy cognitive maps (FCM) is an efficient modelling method, which is based on human knowledge and experience and it can handle with uncertainty and it is constructed by extracted knowledge in the form of fuzzy rules. The FCM model can be enhanced if a fuzzy rule base (IF-THEN rules) is available. This rule base could be derived by a number of machine learning and knowledge extraction methods. Here it is introduced a hybrid attempt to handle situations with different types of available medical and /or clinical data and with difficulty to handle them for decision support tasks using soft computing techniques.

关键词： Decision making Fuzzy cognitive maps Medical diagnostic imaging Data mining Decision support systems Learning systems Computational intelligence computer networks Diseases Spatial databases

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A Rotational and Translational Image Stabilization System for Remotely Operated Robots

A Rotational and Translational Image Stabilization System fo...

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IEEE International Workshop on Imaging Systems and Techniques (IST)

作者： A. Amanatiadis I. Andreadis A. Gasteratos N. Kyriakoulis Laboratory of Electronics Department of Electrical and Computer Engineering Democritus University of Thrace Xanthi Greece Laboratory of Robotics and Automation Department of Production and Management Engineering Democritus University of Thrace Xanthi Greece

Remotely operated robots equipped with on board cameras, apart from providing video input to operators, perform optical measurements to assist their navigation as well. Such image processing algorithms require image sequences, free of high frequency unwanted movements, in order to generate their optimal results. Image stabilization is the process which removes the undesirable position fluctuations of a video sequence improving, therefore, its visual quality. In this paper, we introduce the implementation of an image stabilization system that utilizes input from an on board camera and a gyrosensor. The frame sequence is processed by an optic flow algorithm and the inertial data is processed by a discrete Kalman filter. The compensation is performed using two servo motors for the pan and tilt movements and frame shifting for the vertical and horizontal movements. Experimental results of the robot head, have shown fine stabilized image sequences and a system capable of processing 320 times 240 pixel image sequences at approximately 10 frames/sec, with a maximum acceleration of A deg/sec 2 .

关键词： Image sequences Cameras Optical filters Robot vision systems Performance evaluation Navigation Image processing Frequency Fluctuations Video sequences

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A Log-Polar Interpolation Applied to Image Scaling

A Log-Polar Interpolation Applied to Image Scaling

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IEEE International Workshop on Imaging Systems and Techniques (IST)

作者： A. Amanatiadis I. Andreadis A. Gasteratos Laboratory of Electronics Department of Electrical and Computer Engineering Democritus University of Thrace Xanthi Greece Laboratory of Robotics and Automation Department of Production and Management Engineering Democritus University of Thrace Xanthi Greece

This paper proposes a bio-inspired interpolation algorithm suitable for image scaling. A log-polar neighbor model is adopted, utilizing the feature of applying larger weights to pixels at the center of the interpolation region and logarithmically decreasing weights to pixels away from the center. The interpolation is performed in the Cartesian plane without requiring the full transformation of the image to the log-polar plane. Experiments show that in both visual comparisons and quantitative analysis, the results extracted by the proposed log-polar neighbor model are better than those extracted from pixel repetition, bilinear and bicubic interpolation.

关键词： Interpolation Pixel Digital images Hardware Retina Photoreceptors Color Conferences Laboratories robotics and automation

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F&A compensating variable bang-bang control algorithm for pneumatic driving glass-wall cleaning robot

F&A compensating variable bang-bang control algorithm for pn...

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2007 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： W. Wang H. X. Zhang W. P. Yu G. H. Zong J. W. Zhang Robotics Institute School of Mechanical Engineering and Automation Beijing Aeronautics and Astronautics University Beijing China Institute of Technical Aspects of Multimodal Systems Department of Computer Science University of Hamburg Hamburg Germany Cognitive Technology Laboratory Shenzhen Institute of Advanced Technology Shenzhen China

To overcome the overshoot and oscillation in the normal Bang-Bang controller applied in the pneumatic driving glass-wall cleaning robot, this paper presents a F&A compensating variable Bang-Bang control algorithm for the pneumatic position servo. Besides a new cylinder driving plan is designed, the control algorithm is also improved by adding a fiction force compensating item in the chamber force evaluation equation. To adjust the controlling parameters dynamically, certain increasing functions, such as step function, linear function and arc-tangent function, are used to define the piston's expectative acceleration along with the reduction of the piston's position error. To testify the feasibility of the control algorithms with the above three expectative acceleration setting functions respectively, a pneumatic glass-wall cleaning robot "Sky Cleaner 4" is used as a testing platform to implement a series of on-load position servo experiments. And the different results of them are compared.

关键词： Bang-bang control Cleaning Robots Servomechanisms Testing Algorithm design and analysis Force control Equations Acceleration Error correction

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TRACKING CONTROL IN THE PRESENCE OF NONLINEAR DYNAMIC FRICTIONAL EFFECTS: ROBOT EXTENSION

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Asian Journal of Control 2008年第3期1卷

作者： M. Feemster D.M. Dawson A. Behal W. Dixon Matthew Feemster received the B.S degree in Electrical Engineering from Clemson University Clemson South Carolina in December 1994. Upon graduation he remained at Clemson University and received the M.S. degree in Electrical Engineering in 1997. During this time he also served as a research/teaching assistant. His research work focused on the design and implementation of various nonlinear control algorithms with emphasis on the induction motor and mechanical systems with friction present. He is currently working toward his Ph.D. degree in Electrical Engineering at Clemson University. Darren M. Dawson was born in 1962 in Macon Georgia. He received an Associate Degree in Mathematics from Macon Junior College in 1982 and a B.S. Degree in Electrical Engineering from the Georgia Institute of Technology in 1984. He then worked for Westinghouse as a control engineer from 1985 to 1987. In 1987 he returned to the Georgia Institute of Technology where he received the Ph.D. Degree in Electrical Engineering in March 1990. During this time he also served as a research/teaching assistant. In July 1990 he joined the Electrical and Computer Engineering Department and the Center for Advanced Manufacturing (CAM) at Clemson University where he currently holds the position of Professor. Under the CAM director's supervision he currently leads the Robotics and Manufacturing Automation Laboratory which is jointly operated by the Electrical and Mechanical Engineering departments. His main research interests are in the fields of nonlinear based robust adaptive and learning control with application to electro-mechanical systems including robot manipulators motor drives magnetic bearings flexible cables flexible beams and high-speed transport systems. Aman Behal was born in India in 1973. He received his Masters Degree in Electrical Engineering from Indian Institute of Technology Bombay in 1996. He is currently working towards a Ph.D in Controls and Robotics at Clemson University. His research focuses on the control of no

In this paper, we extend the observer/control strategies previously published in [25] to an n -link, serially connected, direct drive, rigid link, revolute robot operating in the presence of nonlinear friction effects modeled by the Lu-Gre model. In addition, we also present a new adaptive control technique for compensating for the nonlinear parameterizable Stribeck effects. Specifically, an adaptive observer/controller scheme is developed which contains a feedforward approximation of the Stribeck effects. This feedforward approximation is used in a composite controller/observer strategy which forces the average square integral of the position tracking error to an arbitrarily small value. Experimental results are included to illustrate the performance of the proposed controllers.

关键词： Friction compensation nonlinear control

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Introducing interval analysis in fuzzy cognitive map framework

Introducing interval analysis in fuzzy cognitive map framewo...

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4th Helenic Conference on AI, SETN 2006

作者： Papageorgiou, Elpiniki Stylios, Chrysostomos Groumpos, Peter Laboratory for Automation and Robotics Department of Electrical and Computer Engineering University of Patras Rion 26500 Greece Department of Communications Informatics and Management TEI of Epirus Artas Epirus Greece

ISBN: (纸本)354034117X

Fuzzy Cognitive Maps (FCMs) is a graphical model for causal knowledge representation. FCMs consist of nodes-concepts and weighted edges that connect the concepts and represent the cause and effect relationships among them. FCMs are used in complex problems involving causal relationships, which often include feedback, and where qualitative rather than quantitative measures of influences are available. They have used for decision support to determine a final state given a qualitative initial knowledge for nodes and weighted edges, A first study on introducing Interval analysis in the FCM framework has been attempted and it is presented in this work. Here a new structure for FCM is proposed with interval weights and a new method for processing interval data input for FCMs is proposed. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Fuzzy sets

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Design and Control of a Four Steered Wheeled Mobile Robot

Design and Control of a Four Steered Wheeled Mobile Robot

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Annual Conference of Industrial Electronics Society

作者： Michel Lauria Isabelle Nadeau Pierre Lepage Yan Morin Patrick Giguere Frederic Gagnon Dominic Letourneau Francois Michaud Department ofElectrical Engineering and Computer Engineering LABORIUS-Research Laboratory on Mobile Robotics and Intelligent Systems Universite de Sherbrooke Sherbrooke QUE Canada

This paper presents the kinematical analysis of AZIMUT-2, a four steered wheeled mobile robot. The utilization of a new wheel concept called the AZIMUT wheel allowed us to create an innovative omnidirectional non-holonomic robot. Novelty of this wheel concept resides in the non-conventional positioning of the steering axis and the wheel axis. We propose a kinematical model based on the geometrical constraints of these wheels. The degree of mobility, steerability and maneuverability are studied. Additionally, we describe a special design implementation of the wheel mechanism to overcome a hyper-motorization issue inherent to the wheel's geometrical properties. Finally, we describe AZIMUT-2's two operational and seven locomotion modes, along with a control algorithm based on the kinematical model of the robot

关键词： Mobile robots Wheels Leg Robot kinematics Prototypes Intelligent robots Design engineering Rubber Strips Control systems

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