Relevant bibliographies by topics / Robot vision

Contents

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

Academic literature on the topic 'Robot vision'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Robot vision"

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BARNES, NICK, and ZHI-QIANG LIU. "VISION GUIDED CIRCUMNAVIGATING AUTONOMOUS ROBOTS." International Journal of Pattern Recognition and Artificial Intelligence 14, no. 06 (2000): 689–714. http://dx.doi.org/10.1142/s0218001400000489.

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We present a system for vision guided autonomous circumnavigation, allowing a mobile robot to navigate safely around objects of arbitrary pose, and avoid obstacles. The system performs model-based object recognition from an intensity image. By enabling robots to recognize and navigate with respect to particular objects, this system empowers robots to perform deterministic actions on specific objects, rather than general exploration and navigation as emphasized in much of the current literature. This paper describes a fully integrated system, and, in particular, introduces canonical-views. Furt
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Zhang, Hongxin, and Suan Lee. "Robot Bionic Vision Technologies: A Review." Applied Sciences 12, no. 16 (2022): 7970. http://dx.doi.org/10.3390/app12167970.

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The visual organ is important for animals to obtain information and understand the outside world; however, robots cannot do so without a visual system. At present, the vision technology of artificial intelligence has achieved automation and relatively simple intelligence; however, bionic vision equipment is not as dexterous and intelligent as the human eye. At present, robots can function as smartly as human beings; however, existing reviews of robot bionic vision are still limited. Robot bionic vision has been explored in view of humans and animals’ visual principles and motion characteristic
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Xing, Guansheng, and Weichuan Meng. "Design of Robot Vision Servo Control System Based on Image." Journal of Physics: Conference Series 2136, no. 1 (2021): 012049. http://dx.doi.org/10.1088/1742-6596/2136/1/012049.

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Abstract Visual servo is a closed-loop control system of robot, which takes the image information obtained by visual sensor as feedback. Generally speaking, visual servo plays an important role in robot control, which is one of the main research directions in the field of robot control and plays a decisive role in the development of intelligent robots. In order to make the robot competent for more complex tasks and work more intelligently, autonomously and reliably, it is necessary not only to improve the control system of the robot, but also to obtain more and better information about the wor
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Martinez-Martin, Ester, and Angel del Pobil. "Vision for Robust Robot Manipulation." Sensors 19, no. 7 (2019): 1648. http://dx.doi.org/10.3390/s19071648.

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Advances in Robotics are leading to a new generation of assistant robots working in ordinary, domestic settings. This evolution raises new challenges in the tasks to be accomplished by the robots. This is the case for object manipulation where the detect-approach-grasp loop requires a robust recovery stage, especially when the held object slides. Several proprioceptive sensors have been developed in the last decades, such as tactile sensors or contact switches, that can be used for that purpose; nevertheless, their implementation may considerably restrict the gripper’s flexibility and function
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Umeda, Kazunori. "Special Issue on Robot Vision." Journal of Robotics and Mechatronics 15, no. 3 (2003): 253. http://dx.doi.org/10.20965/jrm.2003.p0253.

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Robot vision is an essential key technology in robotics and mechatronics. The number of studies on robot vision is wide-ranging, and this topic remains a hot vital target. This special issue reviews recent advances in this exciting field, following up two special issues, Vol. 11 No. 2, and Vol. 13 No. 6, which attracted more papers than expected. This indicates the high degree of research activity in this field. I am most pleased to report that this issue presents 12 excellent papers covering robot vision, including basic algorithms based on precise optical models, pattern and gesture recognit
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YACHIDA, Masahiko. "Robot Vision." Journal of the Robotics Society of Japan 10, no. 2 (1992): 140–45. http://dx.doi.org/10.7210/jrsj.10.140.

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Haralick, Robert M. "Robot vision." Computer Vision, Graphics, and Image Processing 34, no. 1 (1986): 118–19. http://dx.doi.org/10.1016/0734-189x(86)90060-5.

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Forrest, A. K. "Robot vision." Physics in Technology 17, no. 1 (1986): 5–9. http://dx.doi.org/10.1088/0305-4624/17/1/301.

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Shirai, Y. "Robot vision." Robotics 2, no. 3 (1986): 175–203. http://dx.doi.org/10.1016/0167-8493(86)90028-8.

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Shirai, Y. "Robot vision." Future Generation Computer Systems 1, no. 5 (1985): 325–52. http://dx.doi.org/10.1016/0167-739x(85)90005-6.

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Dissertations / Theses on the topic "Robot vision"

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Grech, Raphael. "Multi-robot vision." Thesis, Kingston University, 2013. http://eprints.kingston.ac.uk/27790/.

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It is expected nowadays that robots are able to work in real-life environments, possibly also sharing the same space with humans. These environments are generally considered as being cluttered and hard to train for. The work presented in this thesis focuses on developing an online and real-time biologically inspired model for teams of robots to collectively learn and memorise their visual environment in a very concise and compact manner, whilst sharing their experience to their peers (robots and possibly also humans). This work forms part of a larger project to develop a multi-robot platform c
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Li, Wan-chiu. "Localization of a mobile robot by monocular vision /." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B23765896.

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Baba, Akihiko. "Robot navigation using ultrasonic feedback." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=677.

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Thesis (M.S.)--West Virginia University, 1999.<br>Title from document title page. Document formatted into pages; contains viii, 122 p. : ill. Includes abstract. Includes bibliographical references (p. 57-59).
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Roth, Daniel R. (Daniel Risner) 1979. "Vision based robot navigation." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17978.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.<br>Includes bibliographical references (p. 53-54).<br>In this thesis we propose a vision-based robot navigation system that constructs a high level topological representation of the world. A robot using this system learns to recognize rooms and spaces by building a hidden Markov model of the environment. Motion planning is performed by doing bidirectional heuristic search with a discrete set of actions that account for the robot's nonholonomic constraints. The intent of this pro
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Skinner, John R. "Simulation for robot vision." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/227404/1/John_Skinner_Thesis.pdf.

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This thesis examined the effectiveness of using computer graphics technologies to create simulated data for vision-enabled robots. The research demonstrated that while the behaviour of a robot is greatly affected by what it is looking at, simulated scenes can produce position estimates similar to specific real locations. The findings show that robots need to be tested in a very wide range of different contexts to understand their performance, and simulation provides a cost-effective route to that evaluation.
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李宏釗 and Wan-chiu Li. "Localization of a mobile robot by monocular vision." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31226371.

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Luh, Cheng-Jye 1960. "Hierarchical modelling of mobile, seeing robots." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/276998.

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This thesis describes the implementation of a hierarchical robot simulation environment which supports the design of robots with vision and mobility. A seeing robot model applies a classification expert system for visual identification of laboratory objects. The visual data acquisition algorithm used by the robot vision system has been developed to exploit multiple viewing distances and perspectives. Several different simulations have been run testing the visual logic in a laboratory environment. Much work remains to integrate the vision system with the rest of the robot system.
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Chen, Haoyao. "Towards multi-robot formations : study on vision-based localization system /." access full-text access abstract and table of contents, 2009. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?phd-meem-b3008295xf.pdf.

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Thesis (Ph.D.)--City University of Hong Kong, 2009.<br>"Submitted to Department of Manufacturing Engineering and Engineering Management in partial fulfillment of the requirements for the degree of Doctor of Philosophy." Includes bibliographical references (leaves 87-100)
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Öfjäll, Kristoffer. "Online Learning for Robot Vision." Licentiate thesis, Linköpings universitet, Datorseende, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-110892.

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In tele-operated robotics applications, the primary information channel from the robot to its human operator is a video stream. For autonomous robotic systems however, a much larger selection of sensors is employed, although the most relevant information for the operation of the robot is still available in a single video stream. The issue lies in autonomously interpreting the visual data and extracting the relevant information, something humans and animals perform strikingly well. On the other hand, humans have great diculty expressing what they are actually looking for on a low level, suitabl
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Devillard, François. "Vision du robot mobile Mithra." Grenoble INPG, 1993. http://www.theses.fr/1993INPG0112.

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Nous proposons un ensemble de vision stereoscopique embarque, destine a la navigation d'un robot mobile en site industriel. En robotique mobile, les systemes de vision sont soumis a de severes contraintes de fonctionnement (traitement en temps reel, volume, consommation. . . ). Pour une modelisation 3D de l'environnement, le systeme de vision doit utiliser des indices visuels permettant un codage compact, precis et robuste de la scene observee. Afin de repondre au mieux aux contraintes de vitesse, nous nous sommes attaches a extraire, des images, les informations les plus significatives d'un p
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Books on the topic "Robot vision"

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Klette, Reinhard, Shmuel Peleg, and Gerald Sommer, eds. Robot Vision. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44690-7.

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Sommer, Gerald, and Reinhard Klette, eds. Robot Vision. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78157-8.

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inc, International Resource Development, ed. Robot vision systems. International Resource Development, 1985.

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Tian, Jiandong. All Weather Robot Vision. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6429-8.

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Pauli, Josef. Learning-Based Robot Vision. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45124-2.

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Taisho, Matsuda, ed. Robot vision: New research. Nova Science Publishers, 2008.

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G, Shapiro Linda, ed. Computer and robot vision. Addison-Wesley Pub. Co., 1992.

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Sood, Arun K., and Harry Wechsler, eds. Active Perception and Robot Vision. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77225-2.

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Chatterjee, Amitava, Anjan Rakshit, and N. Nirmal Singh. Vision Based Autonomous Robot Navigation. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33965-3.

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Sun, Yu, Aman Behal, and Chi-Kit Ronald Chung, eds. New Development in Robot Vision. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-43859-6.

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Book chapters on the topic "Robot vision"

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Bräunl, Thomas. "Robot Vision." In Robot Adventures in Python and C. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38897-3_11.

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Rosenfeld, Azriel. "Robot Vision." In Machine Intelligence and Knowledge Engineering for Robotic Applications. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-87387-4_1.

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Mihelj, Matjaž, Tadej Bajd, Aleš Ude, et al. "Robot Vision." In Robotics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72911-4_8.

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Bräunl, Thomas. "Robot Vision." In Mobile Robot Programming. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32797-1_11.

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Björkman, Mårten, and Jan-Olof Eklundh. "Visual Cues for a Fixating Active Agent." In Robot Vision. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44690-7_1.

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Scheibe, Karsten, Hartmut Korsitzky, Ralf Reulke, Martin Scheele, and Michael Solbrig. "EYESCAN - A High Resolution Digital Panoramic Camera." In Robot Vision. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44690-7_10.

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Wei, Tiangong, and Reinhard Klette. "A Wavelet-Based Algorithm for Height from Gradients." In Robot Vision. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44690-7_11.

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Wuerz, Alexander, Stefan K. Gehrig, and Fridtjof J. Stein. "Enhanced Stereo Vision Using Free-Form Surface Mirrors." In Robot Vision. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44690-7_12.

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Baltes, Jacky. "RoboCup-99: A Student’s Perspective." In Robot Vision. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44690-7_13.

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Baltes, Jacky. "Horus: Object Orientation and Id without Additional Markers." In Robot Vision. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44690-7_14.

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Conference papers on the topic "Robot vision"

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Stancil, Brian, Hsiang-Wen Hsieh, Tsuhan Chen, and Hung-Hsiu Yu. "A Distributed Vision Infrastructure for Multi-Robot Localization." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35700.

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Localization is one of the critical issues in the field of multi-robot navigation. With an accurate estimate of the robot pose, robots will be able to navigate in their environment autonomously with the aid of flexible path planning. In this paper, the infrastructure of a Distributed Vision System (DVS) for multi-robot localization is presented. The main difference between traditional DVSs and the proposed one is that multiple overhead cameras can simultaneously localize a network of robots. The proposed infrastructure is comprised of a Base Process and Coordinate Transform Process. The Base P
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Hall, E. L., and J. H. Nurre. "Robot Vision Overview." In 1985 Los Angeles Technical Symposium, edited by Andrew G. Tescher. SPIE, 1985. http://dx.doi.org/10.1117/12.946421.

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Kuts, Vladimir, Tauno Otto, Toivo Tähemaa, Khuldoon Bukhari, and Tengiz Pataraia. "Adaptive Industrial Robots Using Machine Vision." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-86720.

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The use of industrial robots in modern manufacturing scenarios is a rising trend in the engineering industry. Currently, industrial robots are able to perform pre-programmed tasks very efficiently irrespective of time and complexity. However, often robots encounter unknown scenarios and to solve those, they need to cooperate with humans, leading to unnecessary downtime of the machine and the need for human intervention. The main aim of this study is to propose a method to develop adaptive industrial robots using Machine Learning (ML)/Machine Vision (MV) tools. The proposed method aims to reduc
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Ruther, Matthias, Martin Lenz, and Horst Bischof. "The narcissistic robot: Robot calibration using a mirror." In Vision (ICARCV 2010). IEEE, 2010. http://dx.doi.org/10.1109/icarcv.2010.5707268.

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Granlund, Goesta H. "Issues in Robot Vision." In British Machine Vision Conference 1993. British Machine Vision Association, 1993. http://dx.doi.org/10.5244/c.7.1.

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Drishya, K. A., and Anjaly Krishnan. "Vision-Controlled Flying Robot." In International Conference on Emerging Trends in Engineering & Technology (ICETET-2015). Research Publishing Services, 2015. http://dx.doi.org/10.3850/978-981-09-5346-1_eee-516.

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Han, Chin Yun, S. Parasuraman, I. Elamvazhuthi, C. Deisy, S. Padmavathy, and M. K. A. Ahamed khan. "Vision Guided Soccer Robot." In 2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2017. http://dx.doi.org/10.1109/iccic.2017.8524422.

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Solvang, Bjorn, Gabor Sziebig, and Peter Korondi. "Vision Based Robot Programming." In 2008 IEEE International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2008. http://dx.doi.org/10.1109/icnsc.2008.4525353.

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Sileo, Monica, Michelangelo Nigro, Domenico D. Bloisi, and Francesco Pierri. "Vision based robot-to-robot object handover." In 2021 20th International Conference on Advanced Robotics (ICAR). IEEE, 2021. http://dx.doi.org/10.1109/icar53236.2021.9659446.

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Georgiou, Evangelos, Jian S. Dai, and Michael Luck. "The KCLBOT: The Challenges of Stereo Vision for a Small Autonomous Mobile Robot." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70503.

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In small mobile robot research, autonomous platforms are severely constrained in navigation environments by the limitations of accurate sensory data to preform critical path planning, obstacle avoidance and self-localization tasks. The motivation for this work is to enable small autonomous mobile robots with a local stereo vision system that will provide an accurate reconstruction of a navigation environment for critical navigation tasks. This paper presents the KCLBOT, which was developed in King’s College London’s Centre for Robotic Research and is a small autonomous mobile robot with a ster
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Reports on the topic "Robot vision"

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Blackburn, Michael R., and Hoa G. Nguyen. Vision Based Autonomous Robot Navigation: Motion Segmentation,. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada308472.

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Alkhulayfi, Khalid. Vision-Based Motion for a Humanoid Robot. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.3173.

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Franaszek, Marek, Geraldine S. Cheok, Karl van Wyk, and Jeremy A. Marvel. Improving 3D vision-robot registration for assembly tasks. National Institute of Standards and Technology, 2020. http://dx.doi.org/10.6028/nist.ir.8300.

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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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Chen, Jessie Y., Razia V. Oden, Caitlin Kenny, and John O. Merritt. Effectiveness of Stereoscopic Displays for Indirect-Vision Driving and Robot Teleoperation. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada526325.

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Bowyer, Kevin. Development of the Aspect Graph Representation for Use in Robot Vision. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada247109.

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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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Snider, Wesley, and Griff Bilbro. Teleoperation of a Team of Robots with Vision. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada546999.

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วัณณสุโภประสิทธิ์, วิทยา. Cobots : Collaborative Robots : รายงานฉบับสมบูรณ์. จุฬาลงกรณ์มหาวิทยาลัย, 2005. https://doi.org/10.58837/chula.res.2005.54.

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Inertial Measurement Unit เป็นสิ่งจำเป็นในการวัดสัญญาณการควบคุมระดับสูงสำหรับหุ่นยนต์เคลื่อนที่ งานวิจัยนี้เป็นการออกแบบและพัฒนา Inertial Measurement Unit เพื่อต้องการหามุมและความเร็วในการเคลื่อนที่ของหุ่นยนต์เคลื่อนที่ ที่มีสามองศาอิสระ หลักการโดยย่อคือการนำ Rate Gyroscope และ Accelerometer สำหรับวัดอัตราการหมุน และความเร่งในทั้งสามแกนและกรอปกับการใช้สมการ Forward Jacobian และ Inverse Jacobian ของหุ่นยนต์ดังกล่าวเพื่อทำการวัดความเร็วของหุ่นยนต์โดยอาศัยการวัดจากล้อ (Odometry) และนำข้อมูลทั้งหมดเข้าสู่ Kalman Filter ทำการประมาณหา Bias ของ Gyro และ Accelerometer เพื่อหาความเร็วและมุมของหุ่นยนต์ท
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Kannan /Vilas K. /Chitrakaran, Hariprasad, Darren M. Dawson, and Timothy Burg. Vision-Based Leader/Follower Tracking for Nonholonomic Mobile Robots. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada462604.

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