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检索条件"任意字段=Conference on Intelligent Robots and Computer Vision XXIX - Algorithms and Techniques"

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intelligent robot trends for 1998

Intelligent robot trends for 1998

引用

conference on intelligent robots and computer vision XVII - algorithms, techniques, and Active vision

作者： Hall, EL Univ Cincinnati Ctr Robot Res Cincinnati OH 45221 USA

ISBN: (纸本)081942983X

An intelligent robot is a remarkably useful combination of a manipulator, sensors and controls. The use of these machines in factory automation can improve productivity, increase product quality and improve competitiveness. This paper presents a discussion of recent technical and economic trends. Technically, the machines are faster, cheaper, more repeatable, more reliable and safer. The knowledge base of inverse kinematic and dynamic solutions and intelligent controls is increasing. More attention is being given by industry to robots, vision and motion controls. New areas of usage are emerging for service robots, remote manipulators and automated guided vehicles. Economically, the robotics industry now has a 1.1 billion-dollar market in the U.S. and is growing. Feasibility studies results are presented which also show decreasing costs for robots and unaudited healthy rates of return for a variety of robotic applications. However, the road from inspiration to successful application can be long and difficult, often taking decades to achieve a new product. A greater emphasis on mechatronics is needed in our universities. Certainly, more cooperation between government, industry and universities is needed to speed the development of intelligent robots that will benefit industry and society.

关键词： Control systems Robotics Robot vision Mechatronics Manufacturing Sensors Visualization intelligent sensors Kinematics Safety

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intelligent CONTROL OF ROBOTIC PAINT STRIPPING USING COLOR-vision FEEDBACK 12

INTELLIGENT CONTROL OF ROBOTIC PAINT STRIPPING USING COLOR-V...

引用

12th conference on intelligent robots and computer vision: algorithms and techniques

作者： HARVEY, DN ROGERS, TW MTS SYST CORP EDEN PRAIRIEMN 55344

ISBN: (纸本)0819413208

A robotic work cell for stripping paint from both large and small aircraft is currently under development at Pratt & Whitney - Waterjet Systems (formerly USBI Co., Advanced Programs). The primary objectives for this system are to reduce the time required to strip an aircraft, improve the quality and consistency of the stripping operation, and reduce the need for environmentally objectionable stripping processes such as chemical methods. One of the keys to the overall success of this automated paint stripping system is the integration of a sensor that will provide for adaptive process control. This sensor must be able to indicate when a layer of paint has been completely stripped from the aircraft, and measure the approximate size of any remaining unstripped patches. The sensor should also be able to indicate when surface roughening is occurring on the material beneath the paint.

关键词： Sensors Machine vision Process control Video RGB color model Cameras Robotics robots Color vision computer vision technology

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Advances in learning for intelligent mobile robots

Advances in learning for intelligent mobile robots

引用

conference on intelligent robots and computer vision XXII - algorithms, techniques and Active vision

作者： Hall, EL Ghaffari, M Liao, XS Ali, SMA Univ Cincinnati Ctr Robot Res Cincinnati OH 45221 USA

ISBN: (纸本)081945561X

intelligent mobile robots must often operate in an unstructured environment cluttered with obstacles and with many possible action paths to accomplish a variety of tasks. Such machines have many potential useful applications in medicine, defense, industry and even the home so that the design of such machines is a challenge with great potential rewards. Even though intelligent systems may have symbiotic closure that permits them to make a decision or take an action without external inputs, sensors such as vision permit sensing of the environment and permit precise adaptation to changes. Sensing and adaptation define a reactive system. However, in many applications some form of learning is also desirable or perhaps even required. A further level of intelligence called understanding may involve not only sensing, adaptation and learning but also creative, perceptual solutions involving models of not only the eyes and brain but also the mind. The purpose of this paper is to present a discussion of recent technical advances in learning for intelligent mobile robots with examples of adaptive, creative and perceptual learning. The significance of this work is in providing a greater understanding of the applications of learning to mobile robots that could lead to important beneficial applications.

关键词： intelligent robots adaptive control robust control reinforcement learning adaptive critic creative control perceptual control

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TEXTURE CHARACTERIZATION - MORPHOLOGICAL APPROACH 12

TEXTURE CHARACTERIZATION - MORPHOLOGICAL APPROACH

引用

12th conference on intelligent robots and computer vision: algorithms and techniques

作者： MAHADASA, V RAO, TCM RAO, BSP SAGAR, BSD ANDHRA UNIV DEPT GEOENGNWALTAIR 530003ANDHRA PRADESHINDIA

ISBN: (纸本)0819413208

Textural filters that are designed in the texture spectrum domain are used by slightly changing rules in the calculation of the texture unit number by ordering the elements of the texture unit with respect to the positions of maximum and minimum gray level values as their initial positions in the 3 X 3 subimage. Following that, maximum and minimum values, in addition to the average value of standardized nine elements, are also considered in the transformation processes. Condition morphological filter is applied on the texture filtered image of 200 X 300 pixel data. The results are showing promising potential for geological feature recognition.

关键词： Image filtering Optical filters Image processing Lithium computer vision technology Machine vision Robot vision robots Linear filtering Digital imaging

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ON WAVELET IMAGE REPRESENTATION AND APPLICATIONS IN computer vision 12

ON WAVELET IMAGE REPRESENTATION AND APPLICATIONS IN COMPUTER...

引用

12th conference on intelligent robots and computer vision: algorithms and techniques

作者： FARAG, AA WANG, B UNIV LOUISVILLE DEPT ENGN MATH & COMP SCILOUISVILLEKY 40292

ISBN: (纸本)0819413208

In this paper, a number of spatial/spatial-frequency image representations are reviewed. Wavelets have recently generated much interest, both in applied areas as well as in more theoretical ones. Wavelet tranlorm relative to some basic wavelets, provides aflexible time-frequency window which automatically narrows when observing high frequency phenomena and widens when studying lowfrequency environments. As a result, it is suitablefor visual information representation. Applications in computer vision such as image compression and image enhancement are examined. © 1993 SPIE.

关键词： Image representation

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Processing real-time stereo video for an autonomous robot using disparity maps and sensor fusion

Processing real-time stereo video for an autonomous robot us...

引用

conference on intelligent robots and computer vision XXII - algorithms, techniques and Active vision

作者： Rosselot, D Hall, EL Univ Cincinnati Ctr Robot Res Dept Mech Ind & Nucl Engn Cincinnati OH 45221 USA

ISBN: (纸本)081945561X

The Bearcat "Cub" Robot is an interactive, intelligent, Autonomous Guided Vehicle (AGV) designed to serve in unstructured environments. Recent advances in computer stereo vision algorithms that produce quality disparity and the availability of low cost high speed camera systems have simplified many of tasks associated with robot navigation and obstacle avoidance using stereo vision. Leveraging these benefits, this paper describes a novel method for autonomous navigation and obstacle avoidance currently being implemented on the UC Bearcat Robot. The core of this approach is the synthesis of multiple sources of real-time data including stereo image disparity maps, tilt sensor data, and LADAR data with standard contour, edge, color, and line detection methods to provide robust and intelligent obstacle avoidance. An algorithm is presented with Matlab code to process the disparity maps to rapidly produce obstacle size and location information in a simple format, and features cancellation of noise and correction for pitch and roll. The vision and control computers are clustered with the Parallel Virtual Machine (PVM) software. The significance of this work is in presenting the methods needed for real time navigation and obstacle avoidance for intelligent autonomous robots.

关键词： autonomous robot stereo vision disparity map sensor fusion parallel computing

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Establishing joint goals through observation

Establishing joint goals through observation

引用

conference on intelligent robots and computer vision XVI - algorithms, techniques, Active vision, and Materials Handling

作者： VanWie, M Univ. of Rochester (United States)

ISBN: (纸本)0819426407

When interacting with intelligent agents, it is vital to understand something of their intentions. Agents' itentions provide context in spoken dialog, help to define their future plans (and thus actions), and reveal information about their beliefs. We propose a method by which agents' intentions are inferred by observing their actions. Explicit communication among agents is not permitted. The joint intentions framework(1) specifies the behaviors and obligations of agents that share in a cooperative intention. Our work focuses on the creation of such joint intentions through observation and plan recognition. The plan recognition structure uses Bayes Nets to reason from observations to actions, and Hidden Markov Models to reason from sequences of actions to intent.

关键词： intelligent agents

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NEURAL-NET SELECTION METHODS FOR GABOR TRANSFORM DETECTION FILTERS 12

NEURAL-NET SELECTION METHODS FOR GABOR TRANSFORM DETECTION F...

引用

12th conference on intelligent robots and computer vision: algorithms and techniques

作者： CASASENT, D SMOKELIN, JS CARNEGIE MELLON UNIV CTR EXCELLENCE OPT DATA PROCPITTSBURGHPA 15213

ISBN: (纸本)0819413208

New Gabor transform (GT) filters to detect candidate object locations independent of the object class, object distortions, and for low contrast objects in clutter are described. A new neural network (NN) technique is described to automate selection of GT parameters and to combine multiple Gabor functions (GFs) into once composite macro GF detection filter. Fusion of real and imaginary GT filter outputs is used to reduce false alarms, (P_FA), while maintaining high detection rates (P_D). Test results on the TRIM-2 database are provided.

关键词： Image filtering Neural networks Target detection computer vision technology Machine vision Robot vision robots Edge detection Evolutionary algorithms Databases

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Virtual force field based obstacle avoidance and agent based intelligent mobile robot

Virtual force field based obstacle avoidance and agent based...

引用

conference on intelligent robots and computer vision XXV - algorithms, techniques, and Active vision

作者： Sarkar, Saurabh Reynolds, Scott Hall, Ernest Univ Cincinnati Dept Mech Engn 2600 Clifton Ave Cincinnati OH 45221 USA Univ Cincinnati Dept Comp Sci Cincinnati OH 45221 USA

ISBN: (纸本)9780819469243

This paper presents a modified virtual force based obstacle avoidance approach suited for laser range finder. The modified method takes advantage of the polar coordinate based data sent by the laser sensor by mapping the environment in a polar coordinate system. The method also utilizes a Gaussian function based certainty values to detect obstacle. The method successfully navigates through complex obstacles and reaches target GPS waypoints.

关键词： virtual force field laser ranger finder agents

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Modelling the positioning accuracy of sensor-based robots

Modelling the positioning accuracy of sensor-based robots

引用

conference on intelligent robots and computer vision XVI - algorithms, techniques, Active vision, and Materials Handling

作者： Jarviluoma, M Heikkila, T VTT Automation Machine Automation FIN-90571 Oulu P.O. Box 13023 Finland

ISBN: (纸本)0819426407

This paper describes a method for expressing and manipulating position and orientation uncertainty in sensor-based robotics. The goal is to formulate a computational framework where the effects of accumulating uncertainties, originating from internal and external sensors, are shown as uncertainties in tool frame positions and orientations. The described method is based on using covariance matrices of position and orientation parameters. The used orientation parameters are xyz Euler angles. There are three different forms of spatial uncertainty and uncertainty manipulation involves transformations between these forms. These transformations are done by using linearisation around nominal relations. Paper presents the basic formulas for these transformations and also three calculation examples.

关键词： spatial uncertainty intelligent robotics sensor fusion

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