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

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Industrial 5.0 Aquaponics System Using Machine Learning techniques 7

Industrial 5.0 Aquaponics System Using Machine Learning Tech...

引用

7th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2023

作者： Venkatraman, M. Surendran, R. Saveetha School of Engineering Department of Computer Science and Engineering Saveetha Institute of Medical and Technical Science Chennai India

ISBN: (纸本)9798350340600

Due to the advancements in digital technology, the fifth industrial revolution, also known as aquaponics, has brought changes in the traditional manufacturing and industrial processes. The primary objective of the industry 5.0 initiative is to encourage customization and innovation while simultaneously increasing the productivity, efficiency, and adaptability of manufacturing processes. The industry's coming to terms with the 5.0 vision is underpinned by machine learning. It makes it possible for machines and systems to see patterns in data, make decisions based on that data, and learn without having to be explicitly programmed. algorithms that learn from machines are able to analyze vast amounts of data collected from sensors, machines, and other sources in order to make predictions, improve processes, and acquire insights. This capacity has applications in a variety of domains, including quality control, predictive maintenance, supply chain optimization, process optimization, and autonomous robots. Machine learning-based predictive maintenance reduces downtime and optimizes maintenance schedules by detecting industrial equipment faults. Machine learning-powered quality control systems monitor manufacturing, identify errors, and ensure product quality. U sing machine learning algorithms on supply chain data improves inventory management, logistics, and efficiency. Process optimization uses machine learning to find trends in production data to improve efficiency and energy use. Machine learning-enabled autonomous robots and intelligent decision- making systems help humans complete complicated tasks safely and efficiently. Aquaponics is a major step toward a more connected, intelligent, and data-driven industrial landscape. © 2023 IEEE.

关键词： Decision making

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vision system based on a classification connexionist algorithm 12

Vision system based on a classification connexionist algorit...

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intelligent robots and computer vision XII: algorithms and techniques 1993

作者： Oliver, Gabriel A. Piera, Nüria Dept. de Matemàtiques i Informàtica Universitat de les Illes Balears Cra. de Validemossa km 7.5 Palma07071 Spain Dept. de Matemàtiques Universitat Politècnica de Catalunya c/Pau Gargallo 5 Barcelona08028 Spain

The representation and recognition of object shapes are important tasks of image analysis and computer vision systems. In the last years, a lot of effort has been made in these fieds and there are many applications in object recognition, scene analysis, object tracking or stereo correspondence. The way used to modelize and treat knowledge, and its uncertainty, is a fact that can deeply mark out some systems from others. In this work, we assume that the degree of confidence in the information provided by a TV camera is a value composed of different aspects of the original scene and image. This fact affects all the vision system, from the acquisition step to the classification or rejection of the objects observed. The vision system presented in this paper is a simple but efficient system for the classification of plane objects. Images are recorded by a TV camera. After carrying out the contour detection of the objects present in the scene, we go through a process of obtention of some singular points on these contours with which the descriptors of the objects will be built up. Due to the loss of information introduced in the digitalization and in the segmentation of the image, some uncertainty is introduced in the process that has to be taken into account in the classification process. In that sense, it is interesting to use a classification algorithm that can accept some kind of imprecision in the representation of the objects to be classified. The classification algorithm used is based on an incremental clustering methodology termed LAMDA (Learning Algorithm for Multivariate Data Analysis). Such a system takes into consideration the interaction of two processes, learning and recognition. It gives a representation of each class and enables us, if it is deemed necessary, to look for a specification or generalization of previously constructed classes. Examples and experimental results are presented to illustrate the performance of the system. © 1993 SPIE.

关键词： Classification (of information)

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Mars lander robotics and machine vision capabilities for in-situ planetary science

Mars lander robotics and machine vision capabilities for in-...

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intelligent robots and computer vision XIV: algorithms, techniques, Active vision, and Materials Handling

作者： Schenker, Paul S. Blaney, D.L. Brown, D.K. Bar-Cohen, Yoseph Lih, S.S. Lindemann, R.A. Paljug, Eric D. Slostad, Jeff T. Tharp, Gregory K. Tucker, C.E. Voorhees, C.J. Weisbin, Charles R. Baumgartner, E.T. Singer, R.B. Reid, R. Jet Propulsion Lab. Pasadena CA USA

ISBN: (纸本)0819419524

We overview our recent progress in lander-based robotics for Mars planetary science. Utilizing a 1:1 scale laboratory replica of the NASA Mar Surveyor '98 mission, JPL engineers and Mars science colleagues have demonstrated approaches to lander science functions such as robotic sample acquisition and deposition, end-effector based microscopic viewing, hand-carried science instrument data collection, and science instrument emplacement by a robot. Some of the significant technical advances underlying this simulated Mars flight capability include JPL's innovation of a new lightweight, mechanically stiff, gas deployed telescopic two meter robot arm, and cooperative engineering work with Michigan Tech colleagues on automated visual positioning control of robotic sampling. University of Arizona and JPL have further developed complementary advances in lander-based imaging spectroscopy and its robotic enablement. We outline this work, summarizing its key technical features, and illustrating experimental progress with photographs and an accompanying conference videotape.

关键词： Spacecraft

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AI-based vision system for collision detection in HRC applications 9

AI-based vision system for collision detection in HRC applic...

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9th CIRP Conference on Assembly Technology and Systems, CATS 2022

作者： Makris, Sotiris Aivaliotis, Panagiotis Laboratory for Manufacturing Systems and Automation Department of Mechanical Engineering and Aeronautics University of Patras Patras26504 Greece

Human-Robot Collaboration (HRC) enabling mechanisms require real-time detection of potential collisions among human and robots. Taking under consideration the already existing standards and the literature, most of collision detection techniques require the integration of sensorial systems on the robot aiming to identify the contact events. This paper deals with a novel approach for the identification of human and robot collision based on vision systems. Moreover, Artificial intelligent (AI) algorithms are required to classify the captured data near real-time and to provide a score about the collision status (contact or non-contact) between a human and the robot. Accordingly, the AI models should be trained using the appropriate image data enabling an accurate classification. The proposed system has been developed in a lab environment. A detailed presentation of the system implementation, its performance and the potential integration in a real industrial environment are discussed in this paper. © 2022 Elsevier B.V.. All rights reserved.

关键词： computer vision

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Active learning for robot manipulation 16

Active learning for robot manipulation

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16th European Conference on Artificial Intelligence, ECAI 2004

作者： Morales, Antonio Chinellato, Eris Fagg, Andrew H. Del Pobil, Angel P. Intelligent Robotics Lab. Univertitat Jaume I Castellon Spain Computer Science Department University of Massachusetts AmherstMA United States

ISBN: (纸本)9781586034528

This paper describes a novel application of active learning techniques in the field of robotic grasping. A vision-based grasping system has been implemented on a humanoid robot. It is able to compute a set of feasible grasps and to execute any of them and measure their actual reliability. An algorithm aimed at predicting the performance of an untested grasp using the results observed on previous similar attempts is presented. The previous experience is stored using a set of vision-based grasp descriptors. Moreover, a second algorithm that actively selects the next grasp to be executed in order to improve the predictive quality of the accumulated experience is introduced. An exhaustive database of experimental data is collected and used to test and validate both algorithms.

关键词： Anthropomorphic robots

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Feature tracking from an image sequence using affine invariance and Hough transform

Feature tracking from an image sequence using affine invaria...

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intelligent robots and computer vision XV: algorithms, techniques,Active vision, and Materials Handling

作者： Tsui, H.T. Kong, S.K. Chan, C.W. Chinese Univ. of Hong Kong Shatin N T Hong Kong Hong Kong

ISBN: (纸本)0819423068

Feature point tracking from an image sequence is an important step in many methods of image understanding including shape from motion and mobile robot navigation. Assuming an affine camera model, this paper proposed a new tracking method using affine invariance. Any 3D feature point can have unique coordinates with reference to an affine basis and the affine coordinates are invariant to affine transformation: camera rotations and translations. The images of a set of 4 control points defining an affine basis are tracked in an image sequence using a conventional method. Under this assumption, given a feature point in any image, its locus in the first image is a straight line. The straight lines of the corresponding features from the image sequence will intersect at a point, the corresponding feature point, in the first image. A Hough transform technique is designed to detect this intersection point and track the corresponding feature points in the image sequence. This technique is suitable for tracking a large number of feature points. Its performance is practically unaffected by missing features in some images and large motion steps. Accurate and reliable results had been obtained in real experiments using the method.

关键词： Mobile robots

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Line following using a two camera guidance system for a mobile robot

Line following using a two camera guidance system for a mobi...

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intelligent robots and computer vision XV: algorithms, techniques,Active vision, and Materials Handling

作者： Samu, Tayib Kelkar, Nikhal Perdue, David Ruthemeyer, Michael A. Matthews, Bradley O. Hall, Ernest L. Univ. of Cincinnati Cincinnati OH USA United States

ISBN: (纸本)0819423068

Automated unmanned guided vehicles have many potential applications in manufacturing, medicine, space and defense. A mobile robot has been designed for the 1996 Automated Unmanned Vehicle Society competition which was held in Orlando, Florida on July 15, 1996. The competition required the vehicle to follow solid and dashed lines around an approximately 800 ft. path while avoiding obstacles, overcoming terrain changes such as inclines and sand traps, and attempting to maximize speed. The purpose of this paper is to describe the algorithm developed for the line following. The line following algorithm images two windows and locates their centroid and with the knowledge that the points are on the ground plane, a mathematical and geometrical relationship between the image coordinates of the points and their corresponding ground coordinates are established. The angle of the line and minimum distance from the robot centroid are then calculated and used in the steering control. Two cameras are mounted on the robot with a camera on each side. One camera guides the robot and when it loses track of the line on its side, the robot control system automatically switches to the other camera. The test bed system has provided an educational experience for all involved and permits understanding and extending the state of the art in autonomous vehicle design.

关键词： Mobile robots

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Object-oriented vision for a behavior-based robot

Object-oriented vision for a behavior-based robot

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intelligent robots and computer vision XV: algorithms, techniques,Active vision, and Materials Handling

作者： Bischoff, Rainer Graefe, Volker Wershofen, Klaus P. Federal Armed Forces Univ. Munich Neubiberg Ger Germany

ISBN: (纸本)0819423068

As one realization out of the class of behavior-based robot architectures a specific concept of situation-oriented behavior-based navigation has been proposed. Its main characteristic is that the selection of the behaviors to be executed in each moment is based on a continuous recognition and evaluation of the dynamically changing situation in which the robot is finding itself. An important prerequisite for such as approach is a timely and comprehensive perception of the robot's dynamically changing environment. Object-oriented vision as proposed and successfully applied, e.g., in freeway traffic scenes is a particularly well suited sensing modality for robot control. Our work concentrated on modeling the physical objects which are relevant for indoor navigation, i.e. walls, intersections of corridors, and landmarks. In the interest of efficiency these models include only those necessary features for allowing the robot to reliably recognize different situations in real time. According to the concept of object-oriented vision recognizing such objects is largely reduced to a knowledge-based verification of objects or features that may be expected to be visible in the current situation. The following results have been achieved: 1) By using its vision system and a knowledge base in the form of an attributed topological map the robot could orient itself and navigate autonomously in a known environment. 2) In an unknown environment the robot was able to build, by means of supervised learning, an attributed topological map as a basis for subsequent autonomous navigation. 3) The experiments could be performed both under unmodified artificial light and under natural light shining through the glass walls of the building.

关键词： computer vision

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New active 3D vision system based on rf-modulation interferometry of incoherent light

New active 3D vision system based on rf-modulation interfero...

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intelligent robots and computer vision XIV: algorithms, techniques, Active vision, and Materials Handling

作者： Schwarte, Rudolf Heinol, Horst G. Xu, Z. Hartmann, Klaus Univ. Siegen Siegen Ger

ISBN: (纸本)0819419524

Presently there is still a remarkable gap between the requirements and the capabilities of 3D- vision in the field of industrial automation, especially in manufacture integrated 100%-quality control. For these and a lot of other applications like security and traffic control a new extremely fast, precise and flexible 3D-camera concept is presented in this paper. In order to obtain the geometrical 3D information, the whole 3D object or 3D scene is illuminated simultaneously by means of rf-modulated light. This is realized by using optical modulators such as Pockels cells or FTR optical components (FTR: Frustrated Total Reflection). The back scattered light represents the depth information within the local delay of the phase front of the rf-modulated light intensity. If the reflected wave front is mixed again within the whole receiving aperture using the same optical 2D-modulation components and the same rf- frequency, an rf-interference pattern is produced. A CCD camera may be applied to sample these rf-modulation interferograms. In order to reconstruct the 3D-image a minimum of three independent interferograms have to be evaluated. They may be produced either by applying three different rf-phases or three different rf-frequencies. This procedure will be able to deliver up to some tens of high resolution 3D images per second with some hundred thousand voxels (volume elements). Such a remarkable progress can be achieved by means of three key important steps: Firstly by separating the opto-electronic receiver device from real-time requirements by using homodyne mixing of CW-modulated light. Secondly by applying the rf- modulation signal as an optical reference signal to the receiving optical mixer. And thirdly by using a throughout 2D layout of the transmitted illumination, further, of the optical mixer in the receiving aperture, and of the optoelectronic sensing element, e.g., a CCD-chip.

关键词： computer vision

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Automated recognition and precise estimation of orientation of objects for industrial applications

Automated recognition and precise estimation of orientation ...

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

作者： Orbert, Curt L. Bengtsson, Ewert W. Nordin, Bo G. Uppsala Univ. Glunten Uppsala Sweden

ISBN: (纸本)0819410268

We present a solution to a common problem in industrial machine vision, to identify and estimate the orientation of touching mechanical parts on a plane surface. The algorithm is based on watershed segmentation and can handle cases where objects touch. After an initial thresholding step, we extract the edges of the binary image, the outer edge as well as edges around holes inside the object. Then we use a distance transformation to create a distance map, i.e., an image where each pixel value represents the distance to the nearest edge pixel. The watershed algorithm is applied on the distance map and we get an image where some objects may be segmented into several parts. For every segment we calculate the center of gravity for its surrounding edge pixels. The different centers of gravity are enough for estimating the orientation of objects that have been segmented into more than one segment. By also calculating the center of gravity for holes of the object and using them in the same way we can estimate the orientation of objects having holes. To recognize the mechanical parts we use the distances between the center of gravity of its segments and holes together with the greatest maximum of the distance map that we find inside each of them. We also calculate the length of the peripheries of the segments and use them to distinguish the objects. We can perhaps recognize, and certainly locate, but not estimate the rotation of the mechanical parts that consist of only one segment without holes. For those objects we construct a circle around the center of gravity with the corresponding greatest maximum as radius. We collect the values of the distance map on this circle line and plot them as a function of the angle to the horizontal axis. We can identify the maxima and minima of this function, from which we estimate the rotation of the object. This information can also be used to identify the object. For overall control algorithm we are using fuzzy logics. As a final step to

关键词： computer vision

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