Relevant bibliographies by topics / Machine (robot) vision system

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Machine (robot) vision system'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Machine (robot) vision system"

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Jiménez Moreno, Robinson, Oscar Aviles, and Ruben Darío Hernández Beleño. "Humanoid Robot Cooperative System by Machine Vision." International Journal of Online Engineering (iJOE) 13, no. 12 (2017): 162. http://dx.doi.org/10.3991/ijoe.v13i12.7594.

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This article presents a supervised control position system, based on image processing and oriented to the cooperative work between two humanoid robots that work autonomously. The first robot picks up an object, carry it to the second robot and after that the same second robot places it in an endpoint, this is achieved through doing movements in straight line trajectories and turns of 180 degrees. Using for this the Microsoft Kinect , finding for each robot and the reference object its exact spatial position, through the color space conversion and filtering, derived from the information of the
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Pereira, Tiago, Tiago Gameiro, José Pedro, Carlos Viegas, and N. M. Fonseca Ferreira. "Vision System for a Forestry Navigation Machine." Sensors 24, no. 5 (2024): 1475. http://dx.doi.org/10.3390/s24051475.

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This article presents the development of a vision system designed to enhance the autonomous navigation capabilities of robots in complex forest environments. Leveraging RGBD and thermic cameras, specifically the Intel RealSense 435i and FLIR ADK, the system integrates diverse visual sensors with advanced image processing algorithms. This integration enables robots to make real-time decisions, recognize obstacles, and dynamically adjust their trajectories during operation. The article focuses on the architectural aspects of the system, emphasizing the role of sensors and the formulation of algo
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Zhu, Yunxuan. "Further Perspective of Machine Vision in Industrial Robot Systems." Highlights in Science, Engineering and Technology 39 (April 1, 2023): 909–14. http://dx.doi.org/10.54097/hset.v39i.6675.

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With the rapid development of automation systems and artificial intelligence, industrial robots have played significant roles in automated production processes. Due to the improvement of computer chips, more and more vision algorithms are able to run in industrial robot systems. Increasingly, robotic systems based on visual recognition are replacing those based on traditional sensors. However, there is much work to be done in real situations. This research focuses on the application of machine vision in the field of industrial robot systems. It first gives the overall summary of industrial rob
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Oh, Je-Keun, Giho Jang, Semin Oh, et al. "Bridge inspection robot system with machine vision." Automation in Construction 18, no. 7 (2009): 929–41. http://dx.doi.org/10.1016/j.autcon.2009.04.003.

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Martyshkin, Alexey I. "Motion Planning Algorithm for a Mobile Robot with a Smart Machine Vision System." Nexo Revista Científica 33, no. 02 (2020): 651–71. http://dx.doi.org/10.5377/nexo.v33i02.10800.

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This study is devoted to the challenges of motion planning for mobile robots with smart machine vision systems. Motion planning for mobile robots in the environment with obstacles is a problem to deal with when creating robots suitable for operation in real-world conditions. The solutions found today are predominantly private, and are highly specialized, which prevents judging of how successful they are in solving the problem of effective motion planning. Solutions with a narrow application field already exist and are being already developed for a long time, however, no major breakthrough has
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Fu, Yan. "Application of Machine Vision Recognition System in Mobile Robot." Journal of Physics: Conference Series 2083, no. 4 (2021): 042036. http://dx.doi.org/10.1088/1742-6596/2083/4/042036.

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Abstract In order to solve the problem of autonomous recognition of hexapod robot and realize the intelligent and humanized development of robot, OpenMV is taken as the main platform, hexapod robot is taken as the main machine carrier, Python is taken as the main development language, C language is taken as the auxiliary development language, and the reasonable application of image processing technology is added. A simple visual recognition system based on OpenMV is designed to realize the application of visual recognition.
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Cai, Lin. "Development and Design of Smart-Robot Image Transmission and Processing System Based on On-Line Control." Applied Mechanics and Materials 602-605 (August 2014): 813–16. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.813.

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With the rapid development of network technology, communication technology and multimedia technology, and robot technology is getting mature, network control robot system has gradually become a main direction of current robot research. Network based robot refers to the public through the network and the control operation of the robot Shi Yuancheng. Study on the idea of network robot is the network technology and robot technology integration together, through the network to control the robot. In the network of the robot, machine vision plays a more and more important role. To a strange environm
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Xie, Xiang. "Industrial Robot Assembly Line Design Using Machine Vision." Journal of Robotics 2023 (March 30, 2023): 1–13. http://dx.doi.org/10.1155/2023/4409033.

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In order to further improve the functional requirements and performance indicators of the industrial robot assembly system and more accurately realize the measurement and recognition of the target position of the assembly line by the vision system, this article constructs a robot assembly line system based on obstacle detection and robot arm obstacle path planning based on machine vision technology and further improves the intelligence and accuracy of the assembly line system through the design and optimization of the system software module. Through the experimental verification of the positio
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Ho, Chao Ching, Ming Chen Chen, and Chih Hao Lien. "Machine Vision-Based Intelligent Fire Fighting Robot." Key Engineering Materials 450 (November 2010): 312–15. http://dx.doi.org/10.4028/www.scientific.net/kem.450.312.

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Designing a visual monitoring system to detect fire flame is a complex task because a large amount of video data must be transmitted and processed in real time. In this work, an intelligent fire fighting and detection system is proposed which uses a machine vision to locate the fire flame positions and to control a mobile robot to approach the fire source. This real-time fire monitoring system uses the motion history detection algorithm to register the possible fire position in transmitted video data and then analyze the spectral, spatial and temporal characteristics of the fire regions in the
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Rahmadian, Reza, and Mahendra Widyartono. "Machine Vision and Global Positioning System for Autonomous Robotic Navigation in Agriculture: A Review." Journal of Information Engineering and Educational Technology 1, no. 1 (2017): 46. http://dx.doi.org/10.26740/jieet.v1n1.p46-54.

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Interest on robotic agriculture system has led to the development of agricultural robots that helps to improve the farming operation and increase the agriculture productivity. Much research has been conducted to increase the capability of the robot to assist agricultural operation, which leads to development of autonomous robot. This development provides a means of reducing agriculture’s dependency on operators, workers, also reducing the inaccuracy caused by human errors. There are two important development components for autonomous navigation. The first component is Machine vision for guidin
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Dissertations / Theses on the topic "Machine (robot) vision system"

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Adeboye, Taiyelolu. "Robot Goalkeeper : A robotic goalkeeper based on machine vision and motor control." Thesis, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-27561.

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This report shows a robust and efficient implementation of a speed-optimized algorithm for object recognition, 3D real world location and tracking in real time. It details a design that was focused on detecting and following objects in flight as applied to a football in motion. An overall goal of the design was to develop a system capable of recognizing an object and its present and near future location while also actuating a robotic arm in response to the motion of the ball in flight. The implementation made use of image processing functions in C++, NVIDIA Jetson TX1, Sterolabs’ ZED stereosco
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Bayraktar, Hakan. "Development Of A Stereo Vision System For An Industrial Robot." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12605732/index.pdf.

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The aim of this thesis is to develop a stereo vision system to locate and classify objects moving on a conveyor belt. The vision system determines the locations of the objects with respect to a world coordinate system and class of the objects. In order to estimate the locations of the objects, two cameras placed at different locations are used. Image processing algorithms are employed to extract some features of the objects. These features are fed to stereo matching and classifier algorithms. The results of stereo matching algorithm are combined with the calibration parameters of the cameras t
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Modi, Kalpesh Prakash. "Vision application of human robot interaction : development of a ping pong playing robotic arm /." Link to online version, 2005. https://ritdml.rit.edu/dspace/handle/1850/943.

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Kira, Zsolt. "Communication and alignment of grounded symbolic knowledge among heterogeneous robots." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33941.

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Experience forms the basis of learning. It is crucial in the development of human intelligence, and more broadly allows an agent to discover and learn about the world around it. Although experience is fundamental to learning, it is costly and time-consuming to obtain. In order to speed this process up, humans in particular have developed communication abilities so that ideas and knowledge can be shared without requiring first-hand experience. Consider the same need for knowledge sharing among robots. Based on the recent growth of the field, it is reasonable to assume that in the near future
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Leitner, Jürgen. "From vision to actions: Towards adaptive and autonomous humanoid robots." Thesis, Università della Svizzera Italiana, 2014. https://eprints.qut.edu.au/90178/2/2014INFO020.pdf.

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Although robotics research has seen advances over the last decades robots are still not in widespread use outside industrial applications. Yet a range of proposed scenarios have robots working together, helping and coexisting with humans in daily life. In all these a clear need to deal with a more unstructured, changing environment arises. I herein present a system that aims to overcome the limitations of highly complex robotic systems, in terms of autonomy and adaptation. The main focus of research is to investigate the use of visual feedback for improving reaching and grasping capabilities o
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Björk, Gabriella. "Evaluation of system design strategies and supervised classification methods for fruit recognition in harvesting robots." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217859.

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This master thesis project is carried out by one student at the Royal Institute of Technology in collaboration with Cybercom Group. The aim was to evaluate and compare system design strategies for fruit recognition in harvesting robots and the performance of supervised machine learning classification methods when applied to this specific task. The thesis covers the basics of these systems; to which parameters, constraints, requirements, and design decisions have been investigated. The framework is used as a foundation for the implementation of both sensing system, and processing and classifica
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Manorathna, Prasad. "Intelligent 3D seam tracking and adaptable weld process control for robotic TIG welding." Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/18794.

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Tungsten Inert Gas (TIG) welding is extensively used in aerospace applications, due to its unique ability to produce higher quality welds compared to other shielded arc welding types. However, most TIG welding is performed manually and has not achieved the levels of automation that other welding techniques have. This is mostly attributed to the lack of process knowledge and adaptability to complexities, such as mismatches due to part fit-up. Recent advances in automation have enabled the use of industrial robots for complex tasks that require intelligent decision making, predominantly through
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Stránský, Václav. "Vizuální systém pro detekci obsazenosti parkoviště pomocí hlubokých neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363868.

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The concept of smart cities is inherently connected with efficient parking solutions based on the knowledge of individual parking space occupancy. The subject of this paper is the design and implementation of a robust system for analyzing parking space occupancy from a multi-camera system with the possibility of visual overlap between cameras. The system is designed and implemented in Robot Operating System (ROS) and its core consists of two separate classifiers. The more successful, however, a slower option is detection by a deep neural network. A quick interaction is provided by a less accur
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Zhou, Dingfu. "Vision-based moving pedestrian recognition from imprecise and uncertain data." Thesis, Compiègne, 2014. http://www.theses.fr/2014COMP2162/document.

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La mise en oeuvre de systèmes avancés d’aide à la conduite (ADAS) basée vision, est une tâche complexe et difficile surtout d’un point de vue robustesse en conditions d’utilisation réelles. Une des fonctionnalités des ADAS vise à percevoir et à comprendre l’environnement de l’ego-véhicule et à fournir l’assistance nécessaire au conducteur pour réagir à des situations d’urgence. Dans cette thèse, nous nous concentrons sur la détection et la reconnaissance des objets mobiles car leur dynamique les rend plus imprévisibles et donc plus dangereux. La détection de ces objets, l’estimation de leurs p
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Stark, Per. "Machine vision camera calibration and robot communication." Thesis, University West, Department of Technology, Mathematics and Computer Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-1351.

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<p>This thesis is a part of a larger project included in the European project, AFFIX. The reason for the project is to try to develop a new method to assemble an aircraft engine part so that the weight and manufacturing costs are reduced. The proposal is to weld sheet metal parts instead of using cast parts. A machine vision system is suggested to be used in order to detect the joints for the weld assembly operation of the sheet metal. The final system aims to locate a hidden curve on an object. The coordinates for the curve are calculated by the machine vision system and sent to a robot. The
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Books on the topic "Machine (robot) vision system"

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Corporation, Market Intelligence Research, ed. World machine vision system, component, and software markets: Innovative, affordable, and reliable solutions lead to billion-dollar industry. Market Intelligence USA, 1992.

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Vernon, David. Machine vision: Automated visual inspection and robot vision. Prentice Hall, 1991.

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1938-, Zuech Nello, ed. Machine vision: Capabilities for industry. Machine Vision Association of SME, Publications Development Dept., Marketing Division, 1986.

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Kanatani, Kenʼichi. Geometric computation for machine vision. Clarendon Press, 1993.

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K, West James, and Society of Manufacturing Engineers, eds. Report: Machine vision activity in Europe, 1986. Society of Manufacturing Engineers, Marketing Division, 1987.

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Miller, Richard Kendall. Color machine vision: A market forecast and applications assessment. SEAI Technical Publications, 1986.

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service), SpringerLink (Online, ed. Machine Vision Handbook. Springer London, 2012.

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Donald, Myers, Moody David, and Goddard Space Flight Center, eds. Telerobotic rendezvous and docking vision system architecture: Final report, NASA SBIR phase II. Triangle Research and Development Corp., 1993.

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Heytler, Peter. Machine vision: A Delphi forecast to 1990. Automated Vision Association of RIA, 1986.

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Peter, Martin. Contributions to a 3-D robot vision system: Silhouette analysis and evidential reasoning. Hartung-Gorre Verlag, 1993.

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Book chapters on the topic "Machine (robot) vision system"

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Fang, Jianjun. "A Machine Vision System for Chinese Chess-Playing Robot." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27329-2_52.

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Arkhipov, M. V., A. Yu Malkarov, and V. V. Matrosova. "Sorting System Based on Machine Vision and Manipulation Robot." In Lecture Notes in Electrical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51127-1_38.

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Chen, Zhiguo, and Wenbo Xu. "Nondestructive Flaw Detection System of Intelligent Robot with Machine Vision." In New Directions in Intelligent Interactive Multimedia Systems and Services - 2. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02937-0_14.

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Asgari, Mohsen, and Mahdi Alinaghizadeh Ardestani. "Advanced Dynamic Path Control of a 3-DOF Spatial Parallel Robot Using Adaptive Neuro Fuzzy Inference System." In Machine Vision and Mechatronics in Practice. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45514-2_19.

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Sánchez, J., F. Vázquez, and E. Paz. "Machine Vision Guidance System for a Modular Climbing Robot used in Shipbuilding." In Climbing and Walking Robots. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-26415-9_107.

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Akita, Junichi. "Real-time Color Detection System using Custom LSI for High-Speed Machine Vision." In RoboCup-99: Robot Soccer World Cup III. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45327-x_9.

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Tran, Truong, Tu Nguyen, Mai Nguyen, and Tuan Pham. "A Computer Vision Based Machine for Walnuts Sorting Using Robot Operating System." In Advances in Information and Communication Technology. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49073-1_4.

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Azar, Ahmad Taher, Hossam Hassan Ammar, and Hazem Mliki. "Fuzzy Logic Controller with Color Vision System Tracking for Mobile Manipulator Robot." In The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74690-6_14.

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Suresh, Aswath, Chetan Arora, Debrup Laha, Dhruv Gaba, and Siddhant Bhambri. "Intelligent Smart Glass for Visually Impaired Using Deep Learning Machine Vision Techniques and Robot Operating System (ROS)." In Robot Intelligence Technology and Applications 5. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78452-6_10.

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Wang, Xiaochun, Xiali Wang, and Don Mitchell Wilkes. "A Computer Vision System for Visual Perception in Unknown Environments." In Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9217-7_3.

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Conference papers on the topic "Machine (robot) vision system"

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Wang, Dan, Liangjie Zhong, Jie Hong, and Chunguang Lei. "Development and Design of a Service Robot System using Machine Vision." In 2024 IEEE 4th International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA). IEEE, 2024. https://doi.org/10.1109/iciba62489.2024.10868343.

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Luo, Yuntian. "Research on Sorting System of Industrial Robot Based on Machine Vision." In 2024 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC). IEEE, 2024. https://doi.org/10.1109/peeec63877.2024.00055.

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Yuwono, Steve, Marlon Löppenberg, Jakob Steenweg, Carsten Cruse, and Andreas Schwung. "Towards Agile Factory Automation: Integrating ABB Robot Manipulators, 3D Machine Vision Cameras, and Robot Operating System." In 2025 11th International Conference on Automation, Robotics, and Applications (ICARA). IEEE, 2025. https://doi.org/10.1109/icara64554.2025.10977716.

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Zhou, Tao, Honghua Zhao, Zhanjie Liu, and Bin Song. "Enhanced YOLOv8 Model for Drug Detection in Compound Robot System." In 2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML). IEEE, 2024. https://doi.org/10.1109/icicml63543.2024.10957799.

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Thirumalaiah, G., Vinit Kumar Gunjan, Poojitha Boddu, Nellaboina Raviteja, Pujitha Annavaram, and Sai Likitha Nimmakayala. "An Optimized Edge Detection Algorithm for Computer Vision and Robot Applications." In 2024 Intelligent Systems and Machine Learning Conference (ISML). IEEE, 2024. https://doi.org/10.1109/isml60050.2024.11007404.

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Wang, Chonglin, and Jing Jiang. "Optimization Design of Six-Degree-of-Freedom Robot Arm Control System Based on Fuzzy Pid Algorithm." In 2024 2nd International Conference on Algorithm, Image Processing and Machine Vision (AIPMV). IEEE, 2024. http://dx.doi.org/10.1109/aipmv62663.2024.10692246.

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Sangchai, Kanisorn, Wongsakorn Adirekkittikun, Kevin Vivatanaprasert, Methasit Boonpun, Wongpakorn Chokthitirath, and Nutdanai Thipyophat. "A Hybrid Nut Sorting System: Utilizing Machine Vision and Augmented Information for Efficient Human-Robot Collaboration." In 2025 3rd International Conference on Mechatronics, Control and Robotics (ICMCR). IEEE, 2025. https://doi.org/10.1109/icmcr64890.2025.10962883.

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Dong, Linjie, Jie Li, Renfei Zhang, Xingsong Wang, and Mengqian Tian. "Design of the Control System and Geometric Parameter Error Calibration for a Rail-Based Cable Tunnel Inspection Robot." In 2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). IEEE, 2024. http://dx.doi.org/10.1109/m2vip62491.2024.10746123.

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Liu, H. K. "A Robot Eye with a Large Holographic Memory." In Machine Vision. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/mv.1985.thd2.

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It is well-known that advanced automation systems can handle many sophisticated, dangerous, and beyond-the-reach-of-human jobs in the fields of industry, agriculture, deep ocean, outer space, and national defense. For example, in the Mars sample return (MSR) mission1 of the Planetary Spacecraft System Technology of NASA, a high degree of automation is demanded. In addition to artificial intelligence, guidance, control, and aerodynamic technologies in the MSR mission, advance sensors are required for the automated rendezvous and docking system as well as the Mars Rover.
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Lu, Roberto F. "Design and Configuration of Machine Vision Robotic Cells in a Manufacturing System." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57234.

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Most fixed automations in traditional manufacturing systems are not equipped to manage product variations efficiently. This paper presents a design and configuration for a machine-vision-equipped robotic packing cell that is capable of managing a wide range of product sizes. Product size information is gathered at an earlier stage in the manufacturing process and then transferred electronically to the robot cell. Different controllers are needed to manage robot cell functions related to incoming product, machine vision, robot control, robot manipulator, and multiple layers of safety control in
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Reports on the topic "Machine (robot) vision system"

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Lee, W. S., Victor Alchanatis, and Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7598158.bard.

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Original objectives and revisions – The original overall objective was to develop, test and validate a prototype yield mapping system for unit area to increase yield and profit for tree crops. Specific objectives were: (1) to develop a yield mapping system for a static situation, using hyperspectral and thermal imaging independently, (2) to integrate hyperspectral and thermal imaging for improved yield estimation by combining thermal images with hyperspectral images to improve fruit detection, and (3) to expand the system to a mobile platform for a stop-measure- and-go situation. There were no
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Metta, Giorgio. An Attentional System for a Humanoid Robot Exploiting Space Variant Vision. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada434729.

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Delwiche, Michael, Yael Edan, and Yoav Sarig. An Inspection System for Sorting Fruit with Machine Vision. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7612831.bard.

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Concepts for real-time grading of fruits and vegetables were developed, including multi-spectral imaging with structured illumination to detect and distinguish surface defects from concavities. Based on these concepts, a single-lane conveyor and inspection system were designed and evaluated. Image processing algorithms were developed to inspect and grade large quasi-spherical fruits (peaches and apples) and smaller dried fruits (dates). Adjusting defect pixel thresholds to achieve a 25% error rate on good apples, classification errors for bruise, crack, and cut classes were 51%, 42%, and 46%,
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BLACKBURN, Michael R. Motion Based Target Acquisition and Evaluation in an Adaptive Machine Vision System. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada422512.

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Yerganian, S. S. Evaluation of surface mount component misalignment using an automatic machine vision system. Final report. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/481583.

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Goulding, John. Adaptive Color Correlation of Knots in Wood Images and Weighted-value Product Selection Methods in a Machine Vision System. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.7065.

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Velázquez López, Noé. Working Paper PUEAA No. 7. Development of a farm robot (Voltan). Universidad Nacional Autónoma de México, Programa Universitario de Estudios sobre Asia y África, 2022. http://dx.doi.org/10.22201/pueaa.005r.2022.

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Over the last century, agriculture has evolved from a labor-intensive industry to one that uses mechanized, high-powered production systems. The introduction of robotic technology in agriculture could be a new step towards labor productivity. By mimicking or extending human skills, robots overcome critical human limitations, including the ability to operate in harsh agricultural environments. In this context, in 2014 the development of the first agricultural robot in Mexico (“Voltan”) began at Chapingo Autonomous University. The research’s objective was to develop an autonomous multitasking ve
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Kulhandjian, Hovannes. Smart Robot Design and Implementation to Assist Pedestrian Road Crossing. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2353.

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This research focuses on designing and developing a smart robot to assist pedestrians with road crossings. Pedestrian safety is a major concern, as highlighted by the high annual rates of fatalities and injuries. In 2020, the United States recorded 6,516 pedestrian fatalities and approximately 55,000 injuries, with children under 16 being especially vulnerable. This project aims to address this need by offering an innovative solution that prioritizes real-time detection and intelligent decision-making at intersections. Unlike existing studies that rely on traffic light infrastructure, our appr
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Mbani, Benson, Timm Schoening, and Jens Greinert. Automated and Integrated Seafloor Classification Workflow (AI-SCW). GEOMAR, 2023. http://dx.doi.org/10.3289/sw_2_2023.

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The Automated and Integrated Seafloor Classification Workflow (AI-SCW) is a semi-automated underwater image processing pipeline that has been customized for use in classifying the seafloor into semantic habitat categories. The current implementation has been tested against a sequence of underwater images collected by the Ocean Floor Observation System (OFOS), in the Clarion-Clipperton Zone of the Pacific Ocean. Despite this, the workflow could also be applied to images acquired by other platforms such as an Autonomous Underwater Vehicle (AUV), or Remotely Operated Vehicle (ROV). The modules in
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Searcy, Stephen W., and Kalman Peleg. Adaptive Sorting of Fresh Produce. United States Department of Agriculture, 1993. http://dx.doi.org/10.32747/1993.7568747.bard.

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This project includes two main parts: Development of a “Selective Wavelength Imaging Sensor” and an “Adaptive Classifiery System” for adaptive imaging and sorting of agricultural products respectively. Three different technologies were investigated for building a selectable wavelength imaging sensor: diffraction gratings, tunable filters and linear variable filters. Each technology was analyzed and evaluated as the basis for implementing the adaptive sensor. Acousto optic tunable filters were found to be most suitable for the selective wavelength imaging sensor. Consequently, a selectable wave
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