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A Genetic Algorithm for Warehouse Multi-Objective Optimisation

IFAC Proceedings Volumes 2000年第17期33卷 963-969页

作者： S.G. Tzafestas P. Poulos G.G. Rigatos A. Koukos Intelligent Robotics and Automation Laboratory Department of Electrical and Computer Engineering National Technical University of Athens Zografou Campus 15773 Athens Greece

The rapid increase of warehouse use demands automated management services in order to make decisions for all tasks concerned. These decisions must ensure optimised usage of resources, which leads to cost reduction and better customer service. A major consideration is the way the warehouse area, which consists of different storage types and similar product groups, is exploited. The optimisation of the warehouse's occupied area is the target of replenishment, which iS essentially a constrained placement problem. In this paper, a genetic algorithm with revised operators iS developed. This algorithm is applied to real warehouse data and results show that it produces successful replenishments in a complex environment where many criteria have to be considered and met to some user-defined extent.

关键词： genetic algorithms multi-objective optimisation constrained placement warehouse management

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Estimation of acoustical room transfer functions

Estimation of acoustical room transfer functions

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IEEE Conference on Decision and Control

作者： T. Gustafsson J. Vance H.R. Pota B.D. Rao M.M. Trivedi Computer Vision and Robotics Research Laboratory Electrical and Computer Engineering Department University of California San Diego La Jolla CA USA School of Electical Engineering University of New South Wales Canberra Australia

ISBN: (纸本)0780366387

Presents a method to obtain room transfer functions for applications in the design of intelligent systems for video conferencing. In these applications the acoustical dynamics, for example, affects the quality of the recorded speech signal and the ability to achieve accurate source localization. The first part of the paper gives results on the identification of parameterized room transfer functions. The second part presents a method to extrapolate room transfer functions from the identified models. The extrapolation is achieved by getting a functional form of the transfer function parameters which depends on the speaker and the microphone locations.

关键词： Transfer functions Loudspeakers Microphones Acoustics Videoconference Speech Transient response Partial differential equations Application software computer vision

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Dense range image smoothing using adaptive regularization

Dense range image smoothing using adaptive regularization

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IEEE International Conference on Image Processing

作者： Yiyong Sun Joon-Ki Paik J.R. Price M.A. Abidi Department of Electrical and Computer Engineering Imaging Robotics and Intelligent Systems Laboratory University of Tennessee Knoxville USA Department of Image Engineering Graduate School of Advanced Imaging Science Chung-Ang University Seoul South Korea

We propose an adaptive regularization algorithm for smoothing dense range images using a novel, first order stabilizing function. The stabilizer we suggest is based upon minimizing the reconstructed surface area and is derived in the native, spherical coordinate system of the range scanner. This allows adjustments to be made along only the direction of measurement, thereby preventing the data overlapping problem that can arise in dense images. Adaptation is achieved by adjusting the regularization parameter according to the results of 2D edge analysis. Results indicate effective noise suppression along with well preserved edges and details in the reconstructed, 3D surfaces.

关键词： Smoothing methods Surface reconstruction Image reconstruction Image edge detection Intelligent robots Robot kinematics Intelligent systems Laboratories Laser noise Noise measurement

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Factorization method for multiple perspective views via iterative depth estimation

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Systems and computers in Japan 2000年第13期31卷 87-95页

作者： Ueshiba, Toshio Tomita, Fumiaki Electrotechnical Laboratory Tsukuba 305-8568 Japan Department of Electrical Engineering University of Tokyo Electrotechnical Laboratory Min. of Intl. Trade and Industry Intelligent Systems Division Canada Nat. Inf. Eng. Lab. Information Processing Society Robotics Society of Japan Soc. of Instrum. Control Engineers Department of Control Engineering Osaka University CMU Department of Computer Science Information Processing Society Robotics Society of Japan

This paper proposes a factorization method that reconstructs camera motion and scene shape based on the matching of multiple images under the condition that the camera captures a perspective view. Starting from the affine projection camera model, the projection depth is iteratively estimated until the measurement matrix has rank 4. Then, the obtained measurement matrix is factorized to restore the three-dimensional information of the scene in the projection space. This approach eliminates noise sensitive processes, such as the calculation of the fundamental matrix, that are required in the factorization for the conventional perspective projection image, and a stable reconstruction is realized. Furthermore, the metric constraint in the conventional affine model is extended, and the metric constraint in the perspective projection condition is derived. It is shown that the reconstruction in Euclidean space is realized if the internal parameters of the camera are given.

关键词： Image reconstruction

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Procedure of system-formation as process of the purpose achievement in manufacturing systems

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IFAC Proceedings Volumes 2000年第20期33卷 499-504页

作者： Peter Groumpos Salavat Kusimov Barry Ilyasov Larisa Ismagilova Roza Valeeva Ilmira Gerasimova University of Patras Department of Electrical and Computer Engineering Laboratory for Automation & Robotics GR-265 OORion Greece Fax: +50 61 997 309 Ufa State Aviation Technical University 12 K.Marx Street Ufa 450000 Russia Fax: (347-2) 22-29-18

There are considered the creation problems of organizational and manufacturing systems as formalized system-formation process according to the construction conception of resource-goal triads. Triad is formed and is used as the base element of description formalization of the purpose achievement procedure by means of system-formation process and connects three components necessary for creation of any system (reasons of system origin, existence purpose, possibility of creation). The proposed procedure of system-formation is a basis for development of theoretical bases for modeling and research of controlled manufacturing systems.

关键词： system concepts system methodology system design manufacturing systems

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Recent algorithms for fuzzy and neurofuzzy path planning and navigation of autonomous mobile robots

Recent algorithms for fuzzy and neurofuzzy path planning and...

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1999 European Control Conference, ECC 1999

作者： Tzafestas, Costas S. Tzafestas, Spyros G. Intelligent Robotics and Automation Laboratory Electrical and Computer Engineering Department National Technical University of Athens Zografou Athens157 73 Greece

ISBN: (纸本)9783952417355

This paper reviews a number of recent algorithms for mobile robot path planning, navigation and motion control, which employ fuzzy logic and neuro-fuzzy learning and reasoning. Starting with a discussion of the structure of fuzzy and neuro-fuzzy systems, two fuzzy obstacle avoidance path planning algorithms are presented followed by a 3-level neuro-fuzzy local and global path planning scheme. Then the motion planning and control problem is considered. A fuzzy path tracking strategy is outlined, followed by a fuzzy navigation algorithm among polygonal obstacles and a learning-by-doing neuro-fuzzy motion planning scheme. The paper ends with a hybrid robust motion control technique which combines the minimum interference and sliding mode control principles with fuzzy inference. A representative set of examples are included which illustrate the performance of the algorithms under various realistic conditions. © 1999 EUCA.

关键词： Fuzzy inference

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Critical aspects of structural control schemes for multilevel hierarchical systems

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IFAC Proceedings Volumes 1999年第2期32卷 5909-5914页

作者： Peter P. Groumpos Laboratory for Automation and Robotics Department of Electrical & Computer Engineering University of Patras Rion 26500 GREECE Tel +30 61 997295 Fax +***

In this paper a class of two level systems where N linear subsystems S1, S2,…, SN in a lower hierarchical level are interconnected through a cordinator S 0 in a higher hierarchical level is considered. The model of such a system is presented together with a controlling algorithm that preserves the structure of the system. The paper is mainly a survey of all related work and presents all the critical aspects of such a controlling scheme such as structural controllability, fixed modes, the algorithm itself and stability of the closed loop system.

关键词： Large Scale Systems Decentralized Control Multilevel Hierarchical Systems

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Real-time motion planning of car-like robots

Real-time motion planning of car-like robots

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Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289)

作者： Xianyi Yang Max Meng Advanced Robotics and Teleoperation Laboratory Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada

A neural network approach is proposed for real-time collision-free motion planning of holonomic and nonholonomic car-like robots in a nonstationary environment. This model is capable of planning real-time robot motion with sudden environmental changes, motion of a car with multiple targets, and motion of multiple robots. The proposed neural network model is biologically inspired, where the dynamics of each neuron in the topologically organized neural network is characterized by a shunting equation or an additive equation. There are only local connections among neurons. The real-time optimal robot motion is planned through the dynamic neural activity landscape of the neural network without explicitly searching over the free workspace nor the collision paths, without explicitly optimizing any cost functions, without any prior knowledge of the dynamic environment, without any learning process, and without any local collision checking procedures. Therefore it is computationally efficient. The stability of the neural network is guaranteed by Lyapunov stability analysis. The effectiveness and efficiency of the proposed approach are demonstrated through simulation studies.

关键词： Motion planning Neural networks Biological system modeling Robot motion Neurons Equations Cost function Stability analysis Lyapunov method Computational modeling

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Neural network application in robot motion planning

Neural network application in robot motion planning

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IEEE Pacific Rim Conference on Communications, computers and Signal Processing

作者： X. Yang M. Meng Advanced Robotics & Teleoperation Laboratory Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada

The application of neural networks to real-time motion planning of robotic systems is studied. The proposed framework, using biologically inspired neural networks, for robot motion planning with obstacle avoidance in a nonstationary environment is computationally efficient. The neural dynamics of each neuron in the topologically organized neural network is characterized by a simple shunting equation derived from Hodgkin and Huxley's (1952) membrane model. The real-time optimal robot motion is planned through the dynamic activity landscape of the neural network that represents the dynamic environment. The proposed model can deal with point mobile robots, manipulation robots, holonomic and nonholonomic car-like robots and multi-robot systems. The efficiency and effectiveness are demonstrated by simulation studies.

关键词： Neural networks Robot motion Motion planning Mobile robots Real time systems Biology computing computer networks Neurons Equations Biomembranes

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Team scheduling by genetic search 2

Team scheduling by genetic search

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2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999

作者： Zhang, Tiehua Graver, William A. Smith, Michael H. Intelligent Robotics and Manufacturing System Laboratory Simon Fraser University BurnabyBCV5A1S6 Canada University of California at Berkeley Department of Electrical Engineering and Computer Science BerkeleyCA United States

ISBN: (纸本)0780354893

We consider a photographic studio that must schedule multiple teams of photographers to a large number of elementary and secondary schools. The photographers' schedules are to be optimized so that time constraints are satisfied and each team is able to at least visit two schools daily. A multiple Travelling Salesman model is used where the total distance traveled and time consumed can be evaluated in a single cost function to achieve overall optimality. A genetic algorithm has been applied to solve the problem. The results show that this approach rapidly provides an effective means for solving the problem. © 1999 IEEE.

关键词： Cost functions

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