Готові списки джерел за темами / Grasping strategies

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Добірка наукової літератури з теми "Grasping strategies"

Автор: Grafiati
Опубліковано: 11 січня 2025
Оновлено: 31 липня 2025

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Статті в журналах з теми "Grasping strategies"

1

Desanghere, L., and J. Marotta. "Gaze strategies and grasping: Complex shapes." Journal of Vision 9, no. 8 (2010): 1108. http://dx.doi.org/10.1167/9.8.1108.

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2

Huang, Xiaoqian, Mohamad Halwani, Rajkumar Muthusamy, et al. "Real-time grasping strategies using event camera." Journal of Intelligent Manufacturing 33, no. 2 (2022): 593–615. http://dx.doi.org/10.1007/s10845-021-01887-9.

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AbstractRobotic vision plays a key role for perceiving the environment in grasping applications. However, the conventional framed-based robotic vision, suffering from motion blur and low sampling rate, may not meet the automation needs of evolving industrial requirements. This paper, for the first time, proposes an event-based robotic grasping framework for multiple known and unknown objects in a cluttered scene. With advantages of microsecond-level sampling rate and no motion blur of event camera, the model-based and model-free approaches are developed for known and unknown objects’ grasping
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Peckre, Louise R., Anne-Claire Fabre, Julien Hambuckers, Christine E. Wall, lluís Socias-Martínez, and Emmanuelle Pouydebat. "Food properties influence grasping strategies in strepsirrhines." Biological Journal of the Linnean Society 127, no. 3 (2019): 583–97. http://dx.doi.org/10.1093/biolinnean/bly215.

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4

Leferink, Charlotte, Hannah Stirton, and Jonathan Marotta. "Visuomotor strategies for grasping a rotating target." Journal of Vision 15, no. 12 (2015): 1151. http://dx.doi.org/10.1167/15.12.1151.

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5

Bulloch, Melissa C., Steven L. Prime, and Jonathan J. Marotta. "Anticipatory gaze strategies when grasping moving objects." Experimental Brain Research 233, no. 12 (2015): 3413–23. http://dx.doi.org/10.1007/s00221-015-4413-7.

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6

Roby-Brami, Agnès, Sylvie Fuchs, Mounir Mokhtari, and Bernard Bussel. "Reaching and Grasping Strategies in Hemiparetic Patients." Motor Control 1, no. 1 (1997): 72–91. http://dx.doi.org/10.1123/mcj.1.1.72.

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7

Yang, Yanxin. "Research of Grasping Strategy of Bionic Manipulator." Applied and Computational Engineering 128, no. 1 (2025): 119–25. https://doi.org/10.54254/2755-2721/2025.20214.

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This article reviews the research progress of bionic manipulator grabbing strategies in recent years, subsequently, the classification of existing bionic manipulator grabbing strategies was sorted out in detail, including crawling strategies based on the principle of biological inspiration, crawling strategies based on mechanical models and crawling strategies based on intelligent algorithms. First, the paper outlines the structural design and control methods of bionic manipulators. Next, the classification and characteristics of existing crawling strategies are summarized. These include strat
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8

Hasegawa, Yasuhisa, Kensaku Kanada, and Toshio Fukuda. "Dexterous manipulation from pinching to power grasping - performance comparison of grasping strategies for different objects." IFAC Proceedings Volumes 36, no. 17 (2003): 335–40. http://dx.doi.org/10.1016/s1474-6670(17)33416-x.

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9

Dzitac, Pavel, and Md Mazid Abdul. "Modeling of an Object Manipulation Motion Planner and Grasping Rules." Applied Mechanics and Materials 278-280 (January 2013): 664–72. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.664.

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This paper presents the development of a Motion Planning Module for object manipulation, which is a part of previously developed robotic grasping and manipulation controller. The Motion Planning Module consists of a sensing processor, decision making module, instinctive controller, motion planner and a planned motion controller. Details related to the design and modelling of the motion planning module have been offered. Results of experiments on human grasping rule, suitable for the grasping and manipulation controller, have been discussed. The output of this research may be useful to those de
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10

Dong, Chengyu. "Bio-inspired Octopus-mimicking Soft Robotic Grasping System." Applied and Computational Engineering 128, no. 1 (2025): 86–90. https://doi.org/10.54254/2755-2721/2025.20210.

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Octopus-inspired soft robots have emerged as a promising field of research, drawing inspiration from the remarkable dexterity and adaptability of this marine creature. Their ability to manipulate objects in complex environments, coupled with their soft, compliant bodies, offers significant advantages over traditional rigid robots. This paper provides a comprehensive overview of recent advancements in the design and development of octopus-inspired soft robots, focusing on shape control, grasping strategies, and potential applications. This paper presents a comprehensive review of recent advance
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Дисертації з теми "Grasping strategies"

1

Devereux, David. "Control strategies for whole arm grasping." Thesis, University of Manchester, 2010. https://www.research.manchester.ac.uk/portal/en/theses/control-strategies-for-whole-arm-grasping(02ddb06c-3264-46e1-818a-8632b1bb05c4).html.

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Grasping is a useful ability that allows manipulators to restrain objects to a desired location or trajectory. Whole arm grasps are grasps that use the entire surface of the manipulator to apply contacts to an object. The problem of determining the shape of an object and planning a grasp for that object with a snake-like robot are considered in this work. Existing algorithms that attempt to allow robots to plan and perform whole arm grasps are lacking, they either use restrictive assumptions or have unrealistic demands in terms of required hardware. The work presented here allows even the most
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2

Yesudasu, Santheep. "Cοntributiοn à la manipulatiοn de cοlis sοus cοntraintes par un tοrse humanοïde : applicatiοn à la dépaléttisatiοn autοnοme dans les entrepôts lοgistiques". Electronic Thesis or Diss., Normandie, 2024. https://theses.hal.science/tel-04874770.

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Cette thèse de doctorat explore le développement et l'implémentation d'URNik-AI, un système de dépalettisation automatisé basé sur l'intelligence artificielle (IA), conçu pour manipuler des boîtes en carton de tailles et de poids variés à l'aide d'un torse humanoïde à double bras. L'objectif principal est d'améliorer l'efficacité, la précision et la fiabilité des tâches de dépalettisation industrielle grâce à l'intégration de la robotique avancée, de la vision par ordinateur et des techniques d'apprentissage profond.Le système URNik-AI est composé de deux bras robotiques UR10 équipés de capteu
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3

Chidambaram, Prem Sagar. "Grasping strategies for a dexterous hand during teleoperation." 2006. http://etd.utk.edu/2006/ChidambaramPremSagar.pdf.

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Enes, Baptiste Emmanuel Parente. "Actuation Strategies for Underactuated Hands: Better Functionality & Better Anthropomorphism." Master's thesis, 2014. http://hdl.handle.net/10316/27662.

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Dissertação de Mestrado em Engenharia Biomédica apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.<br>Esta disserta¸c˜ao estuda as melhores estrat´egias de atua¸c˜ao para m˜aos rob´oticas sub atuadas, que garantam uma melhor funcionalidade e um melhor antropomorfismo. Este estudo divide-se em duas partes, a primeira parte foca a capacidade que uma m˜ao tem de agarrar diferentes objectos de diferentes formas, enquanto que a segunda se interessa mais na capacidade de uma m˜ao mimetizar movimentos de uma m˜ao humana. Neste estudo pretende-se responder `as duas segui
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Röthling, Frank [Verfasser]. "Real robot hand grasping using simulation-based optimisation of portable strategies / Frank Röthling." 2007. http://d-nb.info/985935464/34.

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Strnádková, Ivana. "Cesty a strategie žáků 10-12letých při řešení vybraného typu slovních úloh." Master's thesis, 2014. http://www.nusl.cz/ntk/nusl-338677.

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Title: Ways and strategies of 10-12 years old pupils when solving selected type of word problems Abstract This Diploma thesis is focused on word problems that, to some extent, make pupils troubles with their solution. In the first theoretical part there are word problems that the work deals with. These are word problems with ant signal, dynamic, complementary, graphic and their characteristics. The next section is about the strategy of solving word problems and work with mistakes. The second part is focused on experiment of all types of word problems that are described in the theoretical part.
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Králová, Michaela. "Komparace žákovských strategií řešení slovních úloh." Doctoral thesis, 2015. http://www.nusl.cz/ntk/nusl-351689.

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Primary intention of this doctoral thesis is to examine the potential of mathematical word problems and comparison of various solving processes of mathematical word problems among pupils. The theoretical part of this thesis is based on definition of the term "problem" and shows how different basic psychological directions approach this concept. This is followed with narrower definition of mathematical problem with particular regards to solving process itself, its phases and factors affecting its success rate. Afterwards, the mathematical problem is put in concrete terms with mathematical word
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Книги з теми "Grasping strategies"

1

Australia. Parliament. House of Representatives. Standing Committee for Long Term Strategies. Australia as an information society: Grasping new paradigms : report of the House of Representatives Standing Committee for Long Term Strategies, the Parliament of the Commonwealth of Australia. Australian Govt. Pub. Service, 1991.

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2

Australia. Australia as an information society: Grasping new paradigms : Report of the House of Representatives Standing Committee for Long Term Strategies, the Parliament of the Commonwealth of Australia. Australian Govt. Pub. Service, 1991.

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3

Schmidt, Randell K. A Guided Inquiry Approach to High School Research. ABC-CLIO, LLC, 2013. http://dx.doi.org/10.5040/9798400660535.

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This book helps educators foster academic success and college readiness: it demonstrates how to instruct high school students to find, process, and think about new information, and then synthesize that knowledge. When students are able to manage topics of high interest by choosing their own subject matter, they learn how to effectively perform pre-collegiate research through a process that they find fun and rewarding. Ideal for high school-level teachers and school librarians, this book provides a unique, holistic approach to guided inquiry that guides students step-by-step through the cogniti
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Частини книг з теми "Grasping strategies"

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Deimel, Raphael, and Oliver Brock. "Soft Hands for Reliable Grasping Strategies." In Soft Robotics. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44506-8_18.

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2

Nechyporenko, Nataliya, Antonio Morales, and Angel P. del Pobil. "Grasping Strategies for Picking Items in an Online Shopping Warehouse." In Intelligent Autonomous Systems 15. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01370-7_60.

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Whitfield, Petronilla. "Grasping Towards Being Present in the Text, Entangling Meaning into Memory." In Teaching Strategies for Neurodiversity and Dyslexia in Actor Training. Routledge, 2019. http://dx.doi.org/10.4324/9780429458590-11.

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4

Koldewey, Christian, Jürgen Gausemeier, Roman Dumitrescu, Hans Heinrich Evers, Maximilian Frank, and Jannik Reinhold. "Development Process for Smart Service Strategies: Grasping the Potentials of Digitalization for Servitization." In Management for Professionals. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69380-0_12.

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5

Deepthi, V., and P. Karthik. "Power grasping and manipulation of complex shaped object using Brain computer interface and visual strategies on robotic arm." In Advances in Electrical and Computer Technologies. CRC Press, 2025. https://doi.org/10.1201/9781003515470-69.

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Stuke, Tobias, Thomas Rauschenbach, and Thomas Bartsch. "Development of a Robotic Bin Picking Approach Based on Reinforcement Learning." In Machine Learning for Cyber-Physical Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-47062-2_5.

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AbstractRobotic bin picking systems aim to automate the feeding process of randomly stored objects in industrial production. Despite being a research field for decades, there is still a gap between research and industrial application. The presented work intends to improve the utilization of bin picking for the industrial manufacturing of electrotechnical components. In this context, the development process of a system approach based on machine learning is stated. First, related work is presented and the research issue is derived. Second, a comparison between major machine learning techniques w
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Baker, Tawrin. "Christoph Scheiner’s The Eye, that is, The Foundation of Optics (1619): The Role of Contrived Experience at the Intersection of Psychology and Mathematics." In Archimedes. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52954-2_2.

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AbstractAccounts of the development of experimental methods (including controls, broadly understood) in the seventeenth century have tended to overlook Aristotelians. Until recently the consensus was that, because of the art-nature distinction and a focus on final causes, Aristotelianism had significant issues incorporating experiments and contrived experiences into the natural sciences, including “middle” sciences such as optics.I argue that this picture relies, in part, on misreading Aristotle’s Posterior Analytics as a treatise on epistemology. In particular, book 2 chapter 19 has been seen
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Hu, Angang. "Creating and Grasping Strategic Opportunities for China." In Report of Strategic Studies in China (2019). Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7732-1_4.

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"Grasping the Open School Initiative." In Strategies for Innovators. Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-8010-6_2.

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"Grasping the Context." In Redefining Theory and Practice to Guide Social Transformation. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6627-5.ch003.

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Nothing happens in isolation and there is always history and spatiality that mediate the present state of affairs. Social conflicts are historical and geographical in nature, and in order to explore them and transform them, it is necessary to have a method. This chapter offers such a method. Drawing from ethnographic approaches from anthropology, and from practical methods such as Theory U and dynamical systems theory (DST), this chapter offers a dedicated study of a conflict area (Medellin, Colombia), and of how peace knowledge emerges from it. By peace knowledge the authors refer to contextu
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Тези доповідей конференцій з теми "Grasping strategies"

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Liu, Le, Guangye Tian, and Ke Li. "A Novel Control Method Combining Feedforward and Feedback Strategies for Prosthetic Grasping." In 2024 International Conference on Advanced Robotics and Mechatronics (ICARM). IEEE, 2024. http://dx.doi.org/10.1109/icarm62033.2024.10715858.

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Kim, Jinseok, Iksu Choi, Taeyeop Cho, et al. "Learning Strategies for Erecting Horizontal Objects via Half-Grasping to Aid Subsequent Tasks." In 2024 24th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2024. https://doi.org/10.23919/iccas63016.2024.10773039.

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Orsolino, Romeo, Mykhaylo Marfeychuk, Mario Baggetta, et al. "Human-inspired Grasping Strategies of Fresh Fruits and Vegetables Applied to Robotic Manipulation." In 2024 20th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA). IEEE, 2024. http://dx.doi.org/10.1109/mesa61532.2024.10704863.

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De Paola, Vincenzo, Giuseppe Calcagno, Alberto Maria Metelli, and Marcello Restelli. "The Power of Hybrid Learning in Industrial Robotics: Efficient Grasping Strategies with Supervised-Driven Reinforcement Learning." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650627.

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Leeper, Adam Eric, Kaijen Hsiao, Matei Ciocarlie, Leila Takayama, and David Gossow. "Strategies for human-in-the-loop robotic grasping." In the seventh annual ACM/IEEE international conference. ACM Press, 2012. http://dx.doi.org/10.1145/2157689.2157691.

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Ja, Rainer, Sven R. Schmidt-Rohr, Zhixing Xue, Martin Lösch, and Rüdiger Dillmann. "Learning of probabilistic grasping strategies using Programming by Demonstration." In 2010 IEEE International Conference on Robotics and Automation (ICRA 2010). IEEE, 2010. http://dx.doi.org/10.1109/robot.2010.5509958.

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Geidenstam, S., K. Huebner, D. Banksell, and D. Kragic. "Learning of 2D grasping strategies from box-based 3D object approximations." In Robotics: Science and Systems 2009. Robotics: Science and Systems Foundation, 2009. http://dx.doi.org/10.15607/rss.2009.v.002.

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Jia, Shu. "Essence and Strategies of Grasping the Emotional Tone of the Dance." In Proceedings of the 2nd International Conference on Art Studies: Science, Experience, Education (ICASSEE 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/icassee-18.2018.134.

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Lin, Jui-An, and Chen-Chien Hsu. "Robotic Grasping Strategies Based on Classification of Orientation State of Objects." In 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW). IEEE, 2021. http://dx.doi.org/10.1109/icce-tw52618.2021.9602960.

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Turco, Enrico, Valerio Bo, Mehrdad Tavassoli, Maria Pozzi, and Domenico Prattichizzo. "Learning Grasping Strategies for a Soft Non-Anthropomorphic Hand from Human Demonstrations." In 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, 2022. http://dx.doi.org/10.1109/ro-man53752.2022.9900669.

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