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

共 375 条记录，以下是71-80 订阅

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Design and Realization of an intelligent Ground Vehicle with Modular Payloads

Design and Realization of an Intelligent Ground Vehicle with...

引用

conference on intelligent robots and computer vision XXIX - algorithms and techniques

作者： Akmanalp, Mehmet A. Doherty, Ryan M. Gorges, Jeffrey Kalauskas, Peter Peterson, Ellen Polido, Felipe Nestinger, Stephen S. Padir, Taskin Worcester Polytech Inst Robot Engn Program Worcester MA 01609 USA

ISBN: (纸本)9780819489487

In June 2011, Worcester Polytechnic Institute's (WPI) unmanned ground vehicle Prometheus participated in the 8th Annual Robotic Lawnmower and 19th Annual intelligent Ground Vehicle Competitions back-to-back. This paper details the two-year design and development cycle for WPI's intelligent ground vehicle, Prometheus. The on-board intelligence algorithms include lane detection, obstacle avoidance, path planning, world representation and waypoint navigation. The authors present experimental results and discuss practical implementations of the intelligence algorithms used on the robot.

关键词： Autonomous ground vehicle modular payloads path planning

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GENERAL LEARNING SCHEME FOR ROBOT COORDINATE TRANSFORMATIONS USING DYNAMIC NEURAL-NETWORK 12

GENERAL LEARNING SCHEME FOR ROBOT COORDINATE TRANSFORMATIONS...

引用

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

作者： GUPTA, MM RAO, DH UNIV SASKATCHEWAN COLL ENGNINTELLIGENT SYST RES LABSASKATOON S7N 0W0SASKATCHEWANCANADA

ISBN: (纸本)0819413208

By virtue of their functional approximation, learning and adaptive capabilities, the computational neural networks can be suitably employed for learning robot coordinate transformations. The major drawback of conventional static feedforward neural networks based on back-propagation learning algorithm is in their very large convergence time for a given task. Any attempts to accelerate the learning process by increasing the values of learning constants in the algorithm often result in unstable systems. The intent of this paper is to describe a neural network structure called dynamic neural processor (DNP), and examine briefly how it can be used in developing a learning scheme for computing robot inverse kinematic transformations. The architecture and learning algorithm of the proposed dynamic neural network structure, the DNP, are described. computer simulations are provided to demonstrate the effectiveness of the proposed learning scheme using the DNP.

关键词： Neurons Neural networks Robot vision Kinematics computer vision technology Machine vision Algorithm development Evolutionary algorithms Robotics computer simulations

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Fast face localization for mobile robots: signature analysis and color processing

Fast face localization for mobile robots: signature analysis...

引用

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

作者： Grana, M Gonzalez, AI Raducanu, B Echave, I UPV EHU Dept CCIA San Sebastian 20080 Spain

ISBN: (纸本)081942983X

The purpose of our works is to provide fast and reliable face localization techniques in real time an in real-life scenes. Person localization is included in this problem. The end application sought is the ability of mobile robots to navigate in human populated environments, and to start visual interaction with them. Known methods are computationally intensive, far from real time implementation at near future processing power of off-the-shelf processors. Our technique is based in motion segmentation, signature analysis and color processing. Signature analysis provides fast hints of the person and face localization. Color processing is used to confirm the face hypothesis, and it is based on our works on adaptive color quantization of image sequences. The technique can be implemented in real time and combined with other approaches to enhance the recognition results.

关键词： color processing face localization person localization

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intelligent robot trends and predictions for the .Net future

Intelligent robot trends and predictions for the .Net future

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conference on intelligent robots and computer vision XX: algorithms, techniques, and Active vision

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

ISBN: (纸本)081944300X

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 and future technical and economic trends. During the past twenty years the use of industrial robots that are equipped not only with precise motion control systems but also with sensors such as cameras, laser scanners, or tactile sensors that permit adaptation to a changing environment has increased dramatically. intelligent robot products have been developed in many cases for factory automation and for some hospital and home applications. To reach an even higher degree of applications, the addition of learning may be required. Recently, learning theories such as the adaptive critic have been proposed. In this type of learning, a critic provides a grade to the controller of an action module such as a robot. The adaptive critic is a good model for human learning. In general, the critic may be considered to be the human with the teach pendant, plant manager, line supervisor, quality inspector or the consumer. If the ultimate critic is the consumer, then the quality inspector must model the consumer's decision-making process and use this model in the design and manufacturing operations. Can the "adaptive critic" be used to advance intelligent robots? intelligent robots have historically taken decades to be developed and reduced to practice. Methods for speeding this development include technology such as rapid prototyping and product development and government, industry and university cooperation.

关键词： intelligent robots mechatronics industrial robots artificial intelligence adaptive critic

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vision-BASED ORIENTATION AND POSITION DETECTION OF ICS AND PCBS 12

VISION-BASED ORIENTATION AND POSITION DETECTION OF ICS AND P...

引用

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

作者： CHUNG, HK PARK, RH SOGANG UNIV DEPT ELECTR ENGNSEOUL 100611SOUTH KOREA

ISBN: (纸本)0819413208

In this paper, a high-resolution algorithm for detecting the orientation and position of an IC, and an algorithm for compensating the position and skew angle of a PCB, are proposed. The proposed algorithm for the first topic consists of two parts. Its first part is a preprocessing step, in which corner points of an IC are detected and are separated into two groups. Then the coarse angle of the principal axis is obtained by line fitting. The second part is a main processing step, in which the Hough transform over the limited range of angles is applied to the corner points to detect precisely the orientation of an IC or a surface mounting device (SMD). The position of an IC or SMD is determined by using its four corner points. The proposed algorithm for the second topic is the one which detects a rotation angle and translation parameters of a PCB using a template matching method. The PCB is compensated by the detected parameters. The computer simulation shows that the parameters obtained by proposed algorithms are more accurate than those by the several conventional methods considered. The proposed algorithms can be applied to the fast and accurate automatic inspection systems.

关键词： Hough transforms robots Robot vision computer vision technology Machine vision Detection and tracking algorithms Corner detection Inspection Information operations Lead

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intelligent controller for backing up a tractor-trailer truck using state transition table

Intelligent controller for backing up a tractor-trailer truc...

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

作者： Enab, YM Mansoura Univ. (Egypt)

ISBN: (纸本)0819426407

The paper introduces a technique for constructing a look-up table contains information about selected points in the state space of the nonlinear process to be controlled. The new states to which a specific state point transfers when the process is issued different control commands are registered. The controller designed to make use of the table depends on the heuristic assumption that the behavior of the process at a specific state space point is similar to its behavior at a nearby point provided that the process is issued a similar control command at each state. The table design aspects for reducing the storage requirements and minimizing the computational effort for producing control decisions are investigated. The applicability of the controller is tested for the Tractor-Trailer Truck steering problem backing up at a constant speed. The truck backs up in an environment contains obstacles to be avoided. computer simulation of the truck and its controller has demonstrated workability.

关键词： scattered data analysis non linearity representation associative access memory learning control motion control

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Proceedings of SPIE - Intellingent robots and computer vision XXI: algorithms, techniques, and Active vision

Proceedings of SPIE - Intellingent Robots and Computer Visio...

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intelligent robots and computer vision XXI: algorithms, techniques, and Active vision

The proceedings contains 33 papers from the conference on SPIE - intelligent robots and computer vision XXI: algorithms, techniques, and Active vision. The topics discussed include: learning for intelligent mobile robots;remote operation of robotics systems using WLAN- and CORBA-based architecture;autonomous cross-country driving using active vision;Web-based telerobotics system in a virtual reality environment;automatic calibration and neural networks for robot guidance;recursive least squares approach to calculate motion parameters for a moving camera;and effective color representation for image segmentation under nonwhite illumination.

关键词： Robotics

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Autonomous robot software development using simple software components

Autonomous robot software development using simple software ...

引用

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

作者： Burke, TM Chung, CJ Lawrence Technol Univ Dept Math & Comp Sci Southfield MI 48075 USA

ISBN: (纸本)081945561X

Developing software to control a sophisticated lane-following, obstacle-avoiding, autonomous robot can be demanding and beyond the capabilities of novice programmers - but it doesn't have to be. A creative software design utilizing only basic image processing and a little algebra, has been employed to control the LTU-AISSIG autonomous robot - a contestant in the 2004 intelligent Ground Vehicle Competition (IGVC). This paper presents a software design equivalent to that used during the IGVC, but with much of the complexity removed. The result is an autonomous robot software design, that is robust, reliable, and can be implemented by programmers with a limited understanding of image processing. This design provides a solid basis for further work in autonomous robot software, as well as an interesting and achievable robotics project for students.

关键词： robotics autonomous robot computer science education simple software KISS image processing

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intelligent robot control using an adaptive critic with a task control center and dynamic database

Intelligent robot control using an adaptive critic with a ta...

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

作者： Hall, E. L. Ghaffari, M. Liao, X. Ali, S. M. Alhaj Univ Cincinnati Ctr Robot Res Cincinnati OH 45221 USA Hashemite Univ Zarqa Jordan

ISBN: (纸本)0819464821

The purpose of this paper is to describe the design, development and simulation of a real time controller for an intelligent, vision guided robot. The use of a creative controller that can select its own tasks is demonstrated. This creative controller uses a task control center and dynamic database. The dynamic database stores both global environmental information and local information including the kinematic and dynamic models of the intelligent robot. The kinematic model is very useful for position control and simulations. However, models of the dynamics of the manipulators are needed for tracking control of the robot's motions. Such models are also necessary for sizing the actuators, tuning the controller, and achieving superior performance. Simulations of various control designs are shown. Also, much of the model has also been used for the actual prototype Bearcat Cub mobile robot. This vision guided robot was designed for the intelligent Ground Vehicle Contest. A novel feature of the proposed approach is that the method is applicable to both robot arm manipulators and robot bases such as wheeled mobile robots. This generality should encourage the development of more mobile robots with manipulator capability since both models can be easily stored in the dynamic database. The multi task controller also permits wide applications. The use of manipulators and mobile bases with a high-level control are potentially useful for space exploration, certain rescue robots, defense robots, and medical robotics aids.

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

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Biomimetic sensory abstraction using hierarchical quilted self-organizing maps

Biomimetic sensory abstraction using hierarchical quilted se...

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

作者： Miller, Jeffrey W. Lommel, Peter H. Draper Lab 555 Technol Sq Cambridge MA 02139 USA

ISBN: (纸本)0819464821

We present an approach for abstracting invariant classifications of spatiotemporal patterns presented in a high-dimensionality input stream, and apply an early proof-of-concept to shift and scale invariant shape recognition. A model called Hierarchical Quilted Self-Organizing Map (HQSOM) is developed, using recurrent self-organizing maps (RSOM) arranged in a pyramidal hierarchy, attempting to mimic the parallel/hierarchical pattern of isocortical processing in the brain. The results of experiments are presented in which the algorithm learns to classify multiple shapes, invariant to shift and scale transformations, in a very small (7 x 7 pixel) field of view.

关键词： Self-Organizing Maps (SOM) unsupervised learning pattern recognition cognitive learning image interpretation robot vision computational neuroscience biomimetic

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