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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2011年 6657 LNAI卷 VI页

作者： Butz, Cory Lingras, Pawan University of Regina Department of Computer Science 3737Wascana Parkway Regina SK S4S 0A2 Canada Saint Mary's University Department of Mathematics and Computing Science Halifax NS B3H 3C3 Canada

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Spatiotemporal representations for visual navigation

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4th European conference on computer vision, ECCV 1996

作者： Cheong, Loongfah Fermüller, Cornelia Aloimonos, Yiannis Computer Vision Laboratory Center for Automation Research University of Maryland College ParkMD20742-3275 United States

ISBN: (纸本)3540611223

the study of visual navigation problems requires the integration of visual processes with motor control. Most essential in approaching this integration is the study of appropriate spatio-temporal representations which the system computes from the imagery and which serve as interfaces to all motor activities. Since representations resulting from exact quantitative reconstruction have turned out to be very hard to obtain, we argue here for the necessity of representations which can be computed easily, reliably and in real time and which recover only the information about the 3D world which is really needed in order to solve the navigational problems at hand. In this paper we introduce a number of such representations capturing aspects of 3D motion and scene structure which are used for the solution of navigational problems implemented in visual servo systems. In particular, the following three problems are addressed: (a) to change the robot’s direction of motion towards a fixed direction, (b) to pursue a moving target while keeping a certain distance from the target, and (c) to follow a wall-like perimeter. the importance of the introduced representations lies in the following:-they can be extracted using minimal visual information, in particular the sign of flow measurements or the the first order spatiotemporal derivatives of the image intensity function. In that sense they are direct representations needing no intermediate level of computation such as correspondence.-they are global in the sense that they represent how three-dimensional information is globally encoded in them. thus, they are robust representations since local errors do not affect them.-Usually, from sequences of images, three-dimensional quantities such as motion and shape are computed and used as input to control processes. the representations discussed here are given directly as input to the control procedures, thus resulting in a real time solution. © Springer-Verlag Berlin Heidelberg 1996.

关键词： robots

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An Intelligent vision System to Navigate a robot Without On-Board Sensors

An Intelligent Vision System to Navigate a Robot Without On-...

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International conference on computer Science and Engineering (UBMK)

作者： İbrahim Masri Erdal Erdal Kırıkkale University Kırıkkale Turkey

this paper presents a smart system to navigate a robot without sensors using a vertical camera and real-time data processing to identify static and dynamic obstacles. To identify the obstacles, image processing techniques are used such as background subtraction and morphological operations in real-time. After detecting the obstacles, the optimal path is determined, and control commands are sent to the robot accordingly. the navigation path of the robot from the start point (robot current location) to the destination point is determined based on graph theory. A graph is created to cover all possible routes in the work area, then A-Star algorithm is utilized to find the optimal path. the optimal path is updated continuously to account for any moving obstacles that could obstruct the robot's path.

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Improving Measurement Accuracy of Acoustic Intensity in Vibrating Machines Using a Doosan robot

Improving Measurement Accuracy of Acoustic Intensity in Vibr...

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2023 4th International Informatics and Software Engineering conference (IISEC)

作者： Oussema Triki Raef Cherif Yacine Yaddaden Département De Mathématiques Informatique et Génie Université du Québec à Rimouski Rimouski Canada

Measuring sound intensity is a complex and tedious task in industrial environments. Traditional manual methods can be costly, inaccurate, and potentially dangerous for workers. Integrating robotics and computer vision into acoustic measurement processes offers an innovative solution to these problems. this article provides an overview of the innovative solutions offered by Doosan robotics, in collaboration with Onrobot, an integrated solution for automatic acoustic intensity measurement. the Doosan robot equipped with a scanning camera captures acoustic data and produces a map of the machine’s acoustic radiation using computer vision algorithms. this measurement method is accurate, efficient, and safe for workers. It can also be used for continuous monitoring of the industrial acoustic environment. With these innovations, the Doosan robot offers a promising way to automate acoustic intensity measurement, which can be performed faster and with better accuracy to help industries improve sound quality and reduce noise levels to improve worker health and well-being.

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Development of Tank-Based Military robot and Object Tracker

Development of Tank-Based Military Robot and Object Tracker

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Asia-Pacific conference on Intelligent robot Systems (ACIRS)

作者： Widodo Budiharto Vincent Andreas Jarot S. Suroso Alexander Agung S. Gunawan Edy Irwansyah Computer Science Department Bina Nusantara University Jakarta Indonesia Information Systems Management Department Bina Nusantara University Jakarta Indonesia

Indonesia is a country whose economy is developing very fast. According to World Bank data, Indonesia is the country with the largest economic development in Southeast Asia. Unfortunately, the threat of terrorism in Indonesia is very large, therefore it requires a smart system such as military robots. Today's vision-based robot technology has also been used in the development of autonomous military robots. A sophisticated military robot is a robot that is needed by the military/police because it can be deployed to the battlefield or the eradication of terrorism in a remote or autonomous manner. this system is needed to reduce the remaining casualties from the army, and this combat robot system can also be operated at any time with more numbers than regular soldiers and with minimal operator needs. In this paper, we propose a prototype of a tank-based military robot with object detection and tracking and turrets for simulation of shooting the enemy target based on the computer vision. the object tracker will detect an upper body of the target using a library in OpenCV and the tank will track until it reaches the best position to shoot the target. the methods explained, and experimental results were presented.

关键词： Military computing computer vision Object detection Target tracking Artificial intelligence

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Design and Deployment of computer vision based Smart Patrolling robot using UP Squared Board

Design and Deployment of Computer Vision based Smart Patroll...

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Global conference for Advancement in Technology (GCAT)

作者： John Babu Bale N. Manoj Reddy N. Naziya thabasum S. Bhargavi M. Nithya Department of Electrical and Electronics Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India

Human patrolling and surveillance operations often involve inherent risks and inefficiencies. To address these challenges, this work discusses the design and development of a patrolling robot using the UP Squared board, a powerful maker board, harnessing the capabilities of the OpenCV computer vision library. the robot is designed to perform efficient patrolling and surveillance tasks while autonomously avoiding obstacles. Utilizing video processing techniques enabled by OpenCV, the robot accurately detects intruders and promptly alerts human operators. Additionally, obstacle avoidance sensors are incorporated to ensure the robot navigates safely and avoids potential hindrances. By combining robust surveillance, accurate intruder detection, and obstacle avoidance, this research contributes to developing a reliable and effective patrolling system.

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Research and Simulation of Intelligent Grasping of robotic Arm Based on Machine vision Recognition

Research and Simulation of Intelligent Grasping of Robotic A...

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Power Electronics, computer Applications (ICPECA), IEEE International conference on

作者： Jinshun Dong Lixia Deng Dapeng Wan Haiying Liu School of Information and Automation Engineering Qilu University of Technology (Shandong Academy of Sciences) Jinan China

With the economic and social development of human beings, people have higher and higher requirements for the intelligence of machinery and equipment. With the vigorous development of robot vision technology, robots are becoming more and more widely used in various industries, and they also gradually have “eyes”. this not only broadens the scope of its use, but also improves its intelligence. In this paper, the PUMA-560 manipulator was simulated to realize its visual recognition and grasping functions. It has been applied to the original industrial robots. For example, the six-axis manipulator used this time is to obtain relevant information about the target and the surrounding environment through computer vision technology, so as to accurately identify the action to be carried out, and respond according to the action to guide the robot to grasp.

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MERTZ: a quest for a robust and scalable active vision humanoid head robot

MERTZ: a quest for a robust and scalable active vision human...

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IEEE-RAS International conference on Humanoid robots

作者： L. Aryananda J. Weber Artificial Intelligence Laboratory MIT Computer Science Cambridge MA USA

We present the design and construction of MERTZ, an active-vision humanoid head robot, with the immediate goal of having the robot runs continuously for many hours a day without supervision at various locations. We address how the lack of robustness and reliability lead to limitations and scalability issues in research robotic platforms. We propose to attend to these issues in parallel with the course of robot development. Drawing from lessons learned from our previous robots, we incorporated various fault prevention strategies into the electromechanical design. We have implemented a preliminary system, integrating sensorimotor, vision, and audio in order to test the full range of all degrees of freedom and enable the robot to engage in simple visual and verbal interaction with people. We conducted a series of experiment where the robot ran for $2 hours within 9 days at different public spaces. the robot interacted with a large number of passersby and collected at least 100,000 face images of at least 600 individuals within 4 days. We learned various lessons involving the robustness of current design and identified a set of failure modes. Lastly, we present the long term research direction for the robot.

关键词： Robustness Humanoid robots robot vision systems robot sensing systems Orbital robotics Head Intelligent robots Parallel robots Human robot interaction computer science

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Enhancing Manufacturing Efficiency With computer vision And Doosan robotics: An Overview Of Real-Time Object Detection And Automated Decision-Making

Enhancing Manufacturing Efficiency With Computer Vision And ...

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2023 4th International Informatics and Software Engineering conference (IISEC)

作者： Ameni Chaabani Raef Cherif Yacine Yaddaden Département de mathématiques Informatique et génie Université du Québec à Rimouski Rimouski Canada

this article presents a solution developed with Doosan robotics and Onrobot for identifying missing or broken pull tabs in manufacturing processes using computer vision and robotics integration. the solution involves a collaborative robot equipped with a 2.5D camera and an end-effector capable of grasping and manipulating objects. the 2.5D camera captures images of the objects, and computer vision algorithms are applied to detect and identify the presence of pull tabs and assess their condition. the system utilizes advanced image processing techniques to analyze the captured images, identifying any instances of missing or broken pull tabs. Upon detection, the robot employs its end-effector to interact with the identified pull tabs, facilitating their removal or replacement as necessary. the integration also incorporates automated decision-making algorithms to optimize production efficiency, reduce errors, and improve product quality. Integrating these technologies enhances precision, accuracy, and speed in identifying and manipulating objects, leading to increased productivity, cost reduction, and improved product quality.

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An Image Matching and Object Recognition System using Webcam robot 4

An Image Matching and Object Recognition System using Webcam...

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4th IEEE International conference on Parallel, Distributed and Grid Computing (IEEE PDGC)

作者： Yadav, Sanjana Singh, Archana Hindustan Coll Sci Technol Dept Comp Sci & Engn Mathura Uttar Pradesh India Hindustan Coll Sci Technol Dept Informat Technol Mathura Uttar Pradesh India

ISBN: (纸本)9781509036691

Finding relation among multiple images is a core and vital step in the field of computer vision. this can be achieved if we can track correspondence over consecutive frames in an image and then matching among them can be identified. this paper proposes a precise approach for image matching in real time scenario and also in the field of robotICS. We arc constructing an application based Image matching model that can detect images that are exactly the same, as well as images that have been edited in some ways. Implementation of this Image Matching and object recognition system is based on tracking an object, calculating its feature Points, and classification with the help of trained Data Sets. the system is capable to perform matching of images, both automatically and manually. On the other hand, to operate the proposed system manually, user itself takes the images of an object or something, and will store it in database. After that system will through some steps, and image matching will be performed. Black & White point calculation of an image, Chamfer matching Algorithm, 3-4 Distance Transformation with canny edge detector is applied in the application which is well suited for calculating the pixel values. the whole system is reliable and capable to match the two images in Digital Image Processing.

关键词： Chamfer matching Gradient Edge detection Image matching thresholding

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