Academic literature on the topic 'Hand manipulation'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Hand manipulation.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Hand manipulation"
Bircher, Walter G., Andrew S. Morgan, and Aaron M. Dollar. "Complex manipulation with a simple robotic hand through contact breaking and caging." Science Robotics 6, no. 54 (May 12, 2021): eabd2666. http://dx.doi.org/10.1126/scirobotics.abd2666.
Full textTanikawa, Tamio, Masashi Kawai, Noriho Koyachi, Tatsuo Arai, Takayuki Ide, Shinji Kaneko, Ryo Ohta, and Takeshi Hirose. "Force Control System for Autonomous Micro Manipulation." Journal of Robotics and Mechatronics 14, no. 3 (June 20, 2002): 212–20. http://dx.doi.org/10.20965/jrm.2002.p0212.
Full textLopez, Patricio Rivera, Ji-Heon Oh, Jin Gyun Jeong, Hwanseok Jung, Jin Hyuk Lee, Ismael Espinoza Jaramillo, Channabasava Chola, Won Hee Lee, and Tae-Seong Kim. "Dexterous Object Manipulation with an Anthropomorphic Robot Hand via Natural Hand Pose Transformer and Deep Reinforcement Learning." Applied Sciences 13, no. 1 (December 28, 2022): 379. http://dx.doi.org/10.3390/app13010379.
Full textHazard, Christopher, Nancy Pollard, and Stelian Coros. "Automated Design of Robotic Hands for In-Hand Manipulation Tasks." International Journal of Humanoid Robotics 17, no. 01 (January 8, 2020): 1950029. http://dx.doi.org/10.1142/s0219843619500294.
Full textOdhner, Lael U., Raymond R. Ma, and Aaron M. Dollar. "Exploring Dexterous Manipulation Workspaces with the iHY Hand." Journal of the Robotics Society of Japan 32, no. 4 (2014): 318–22. http://dx.doi.org/10.7210/jrsj.32.318.
Full textCruciani, Silvia, Balakumar Sundaralingam, Kaiyu Hang, Vikash Kumar, Tucker Hermans, and Danica Kragic. "Benchmarking In-Hand Manipulation." IEEE Robotics and Automation Letters 5, no. 2 (April 2020): 588–95. http://dx.doi.org/10.1109/lra.2020.2964160.
Full textLiu, Ming-Jin, Cai-Hua Xiong, and Di Hu. "Assessing the manipulative potentials of monkeys, apes and humans from hand proportions: implications for hand evolution." Proceedings of the Royal Society B: Biological Sciences 283, no. 1843 (November 30, 2016): 20161923. http://dx.doi.org/10.1098/rspb.2016.1923.
Full textHang, Kaiyu, Walter G. Bircher, Andrew S. Morgan, and Aaron M. Dollar. "Hand–object configuration estimation using particle filters for dexterous in-hand manipulation." International Journal of Robotics Research 39, no. 14 (October 17, 2019): 1760–74. http://dx.doi.org/10.1177/0278364919883343.
Full textIto, Koji. "Hand Manipulation and Impedance Adjustment." Journal of Robotics and Mechatronics 7, no. 2 (April 20, 1995): 161–68. http://dx.doi.org/10.20965/jrm.1995.p0161.
Full textAndrychowicz, OpenAI: Marcin, Bowen Baker, Maciek Chociej, Rafal Józefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, et al. "Learning dexterous in-hand manipulation." International Journal of Robotics Research 39, no. 1 (November 18, 2019): 3–20. http://dx.doi.org/10.1177/0278364919887447.
Full textDissertations / Theses on the topic "Hand manipulation"
Prime, Jacqueline M. "Hand manipulation skills in gibbons /." Available to subscribers only, 2006. http://proquest.umi.com/pqdweb?did=1136081491&sid=11&Fmt=2&clientId=1509&RQT=309&VName=PQD.
Full textKontoudis, Georgios Pantelis. "Adaptive, Anthropomorphic Robot Hands for Grasping and In-Hand Manipulation." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/87404.
Full textMaster of Science
This thesis presents the design, modeling, and development of adaptive robot hands that are capable of performing selective interdigitation, robust grasping, and dexterous, in-hand manipulation. The robotic fingers employ an adaptive actuation mechanism. The design is minimal and the hand is capable of performing selective interdigitation, robust grasping, and dexterous, in-hand manipulation. Particular emphasis has been given to the modeling and the analysis of the actuation mechanism. For the hand design, the use of differential mechanisms simplifies the actuation scheme, as we utilize only two actuators for four fingers, achieving affordable dexterity. A design optimization framework assess the results of hand anthropometry studies to derive key parameters for the actuation design. The robotic fingers and the anthropomorphic hand were fabricated using off-the-self materials and additive manufacturing techniques. Several experiments were performed to validate the efficacy of the robot hand.
Bullock, Ian Merrill. "Understanding Human Hand Functionality| Classification, Whole-Hand Usage, and Precision Manipulation." Thesis, Yale University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10584937.
Full textA better understanding of human hand functionality can help improve robotic and prosthetic hand capability, as well as having benefits for rehabilitation or device design. While the human hand has been studied extensively in various fields, fewer existing works study the human hand within frameworks which can be easily applied to robotic applications, or attempt to quantify complex human hand functionality in real-world environments or with tasks approaching real-world complexity. This dissertation presents a study of human hand functionality from the multiple angles of high level classification methods, whole-hand grasp usage, and precision manipulation, where a small object is repositioned in the fingertips.
Our manipulation classification work presents a motion-centric scheme which can be applied to any human or hand-based robotic manipulation task. Most previous classifications are domain specific and cannot easily be applied to both robotic and human tasks, or can only be applied to a certain subset of manipulation tasks. We present a number of criteria which can be used to describe manipulation tasks and understand differences in the hand functionality used. These criteria are then applied to a number of real world example tasks, including a description of how the classification state can change over time during a dynamic manipulation task.
Next, our study of real-world grasping contributes to an understanding of whole-hand usage. Using head mounted camera video from two housekeepers and two machinists, we analyze the grasps used in their natural work environments. By tagging both grasp state and objects involved, we can measure the prevalence of each grasp and also understand how the grasp is typically used. We then use the grasp-object relationships to select small sets of versatile grasps which can still handle a wide variety of objects, which are promising candidates for implementation in robotic or prosthetic manipulators.
Following the discussion of overall hand shapes, we then present a study of precision manipulation, or how people reposition small objects in the fingertips. Little prior work was found which experimentally measures human capabilities with a full multi-finger precision manipulation task. Our work reports the size and shape for the precision manipulation workspace, and finds that the overall workspace is small, but also has a certain axis along which more object movement is possible. We then show the effect of object size and the number of fingers used on the resulting workspace volume – an ideal object size range is determined, and it is shown that adding additional fingers will reduce workspace volume, likely due to the additional kinematic constraints. Using similar methods to our main precision manipulation investigation, but with a spherical object rolled in the fingertips, we also report the overall fingertip surface usage for two- and three-fingered manipulation, and show a shift in typical fingertip area used between the two and three finger cases.
The experimental precision manipulation data is then used to refine the design of an anthropomorphic precision manipulator. The human precision manipulation workspace is used to select suitable spring ratios for the robotic fingers, and the resulting hand is shown to achieve about half of the average human workspace, despite using only three actuators.
Overall, we investigate multiple aspects of human hand function, as well as constructing a new framework for analyzing human and robotic manipulation. This work contributes to an improved understanding of human grasp usage in real-world environments, as well as human precision manipulation workspace. We provide a demonstration of how some of the studied aspects of human hand function can be applied to anthropomorphic manipulator design, but we anticipate that the results will also be of interest in other fields, such as by helping to design devices matched to hand capabilities and typical usage, or providing inspiration for future methods to rehabilitate hand function.
Prieur, Urbain. "High-level planning of dexterous in-hand manipulation using a robotic hand." Paris 6, 2013. http://www.theses.fr/2013PA066788.
Full textJusqu’ici, les solutions apportées à la problématique de manipulation dextre robotique par une main anthropomorphe se concentraient sur la planification bas niveau des différents types de mouvements fins. Aussi, une solution complète de planification, prenant en compte l’étendue de ces différentes actions, reste à développer. Tel est le fondement de ce travail : pour une tache définie, caractérisée par des configurations initiale et finale, une séquence de configurations intermédiaires est générée : la totalité de l’activité complexe se trouve donc décomposée en une succession de transitions simples à planifier par le bas niveau. Afin de générer cette séquence, influencée par l’objet et la configuration finale, on utilise un processus de décision markovien (MDP). Les configurations intermédiaires sont représentées par des types de saisies tirés d’une taxonomie existante, les transitions sont formulées par des probabilités de succès : si ces approximations assurent la rapidité de l’algorithme, elles requièrent du bas niveau la planification des configurations complètes et le détail des transitions. En cas d’impossibilité d’exécution, des séquences alternatives peuvent être proposées. Le MDP doit connaître les capacités du robot à réaliser les transitions, par auto-apprentissage, ou par observation de mouvements humains. Nous utilisons un processus d’apprentissage actif initialisé par une estimation empirique des probabilités de succès des transitions. La solution a été implémentée avec succès sur un robot réel, prenant un rôle central dans la commande de la manipulation fine, jusqu'à propager l’influence de la tâche sur la saisie initiale
Matsuoka, Yoky 1971. "Embodiment and manipulation learning process or humanoid hand." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11416.
Full textNagai, Kiyoshi. "Studies on Grasping and Manipulation by Robotic Multifingered Hands and Arm-Hand Systems." Kyoto University, 1995. http://hdl.handle.net/2433/160756.
Full textKyoto University (京都大学)
0048
新制・論文博士
博士(工学)
乙第8782号
論工博第2944号
新制||工||980(附属図書館)
UT51-95-B247
(主査)教授 吉川 恒夫, 教授 井上 紘一, 教授 島 進
学位規則第4条第2項該当
Xu, Jijie. "Towards better grasping and manipulation by multifingered robotic hand /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?ECED%202007%20XU.
Full textKrishnan, Vennila. "Force coordination during object manipulation in individuals with multiple sclerosis." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 131 p, 2009. http://proquest.umi.com/pqdweb?did=1818417311&sid=6&Fmt=2&clientId=8331&RQT=309&VName=PQD.
Full textFreitas, Paulo Barbosa de. "Force coordination in object manipulation effects of load force direction and grasping technique /." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 185 p, 2009. http://proquest.umi.com/pqdweb?did=1833642551&sid=3&Fmt=2&clientId=8331&RQT=309&VName=PQD.
Full textTheorin, Anna. "To select one hand while using both neural mechanisms supporting flexible hand dominance in bimanual object manipulation /." Doctoral thesis, Umeå : Department of Integrative Medical Biology, Umeå university, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-29805.
Full textBooks on the topic "Hand manipulation"
1959-, Oths Kathryn S., and Hinojosa Servando Z. 1904-, eds. Healing by hand: Manual medicine and bonesetting in global perspective. Walnut Creek, Calif: AltaMira Press, 2004.
Find full textThe naughty Victorian hand book: The rediscovered art of erotic hand manipulation. New York: Workman Pub., 1989.
Find full textPfanne, Martin. In-Hand Object Localization and Control: Enabling Dexterous Manipulation with Robotic Hands. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06967-3.
Full textMason, Matthew T. Robot hands andthe mechanics of manipulation. Cambridge, Mass: MIT Press, 1985.
Find full textInoue, Takahiro. Mechanics and control of soft-fingered manipulation. London: Springer, 2009.
Find full text1963-, Hirai Shinʼichi, ed. Mechanics and control of soft-fingered manipulation. London: Springer, 2009.
Find full textInoue, Takahiro. Mechanics and control of soft-fingered manipulation. London: Springer, 2009.
Find full textInoue, Takahiro. Mechanics and control of soft-fingered manipulation. London: Springer, 2009.
Find full textCorporation, Meridian, and United States. National Aeronautics and Space Administration., eds. Force reflecting hand controller for manipulator teleoperation. Alexandria, VA: Meridian Corporation, 1991.
Find full textKenneth, Salisbury J., ed. Robot hands and the mechanics of manipulation. Cambridge, Mass: MIT Press, 1985.
Find full textBook chapters on the topic "Hand manipulation"
Terstiege, Meike. "Manipulation im Marketing. Die Hand im Visier." In Mensch – Marke – Manipulation, 133–72. München: Haufe, 2022. http://dx.doi.org/10.57088/978-3-648-15833-3_5.
Full textHirota, Koichi, Yusuke Ujitoko, Kazuya Kiriyama, and Kazuyoshi Tagawa. "Object Manipulation by Deformable Hand." In Lecture Notes in Electrical Engineering, 145–48. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55690-9_27.
Full textPrime, Jacqueline M., and Susan M. Ford. "Hand Manipulation Skills in Hylobatids." In Developments in Primatology: Progress and Prospects, 269–89. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-5614-2_12.
Full textMaeda, Yusuke, and Tomohiro Asamura. "Sensorless In-Hand Caging Manipulation." In Intelligent Autonomous Systems 14, 255–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48036-7_19.
Full textOdhner, Lael U., Raymond R. Ma, and Aaron M. Dollar. "Experiments in Underactuated In-Hand Manipulation." In Experimental Robotics, 27–40. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00065-7_3.
Full textSaut, Jean-Philippe, Anis Sahbani, Jean-Pierre Gazeau, S. Zeghloul, and Philippe Bidaud. "Dexterous Manipulation Planning for an Anthropomorphic Hand." In Romansy 19 – Robot Design, Dynamics and Control, 241–48. Vienna: Springer Vienna, 2013. http://dx.doi.org/10.1007/978-3-7091-1379-0_30.
Full textFujioka, Shunsuke, Takao Uchiyama, Kazuyoshi Tagawa, Koichi Hirota, Takusya Nojima, Katsuhito Akahane, and Makoto Sato. "Object Manipulation by Hand with Force Feedback." In Lecture Notes in Electrical Engineering, 261–66. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4157-0_45.
Full textDou, Xiang, Xinying Xu, and Huaping Liu. "In-hand Manipulation for Active Object Recognition." In Intelligent Robotics and Applications, 427–38. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27526-6_37.
Full textYin, Zongtian, Hanwei Chen, Xingchen Yang, Yifan Liu, Ning Zhang, Jianjun Meng, and Honghai Liu. "Wearable Ultrasound Interface for Prosthetic Hand Manipulation." In Intelligent Robotics and Applications, 3–12. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13835-5_1.
Full textNarayanan, Gokul, Joshua Amrith Raj, Abhinav Gandhi, Aditya A. Gupte, Adam J. Spiers, and Berk Calli. "Within-Hand Manipulation Planning and Control for Variable Friction Hands." In Experimental Robotics, 600–610. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71151-1_53.
Full textConference papers on the topic "Hand manipulation"
Shi, Jian, J. Zachary Woodruff, and Kevin M. Lynch. "Dynamic in-hand sliding manipulation." In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2015. http://dx.doi.org/10.1109/iros.2015.7353474.
Full textMa, Raymond R., Walter G. Bircher, and Aaron M. Dollar. "Toward robust, whole-hand caging manipulation with underactuated hands." In 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2017. http://dx.doi.org/10.1109/icra.2017.7989158.
Full textLiarokapis, Minas, and Aaron M. Dollar. "Deriving dexterous, in-hand manipulation primitives for adaptive robot hands." In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2017. http://dx.doi.org/10.1109/iros.2017.8206014.
Full textHe, Junhu, and Jianwei Zhang. "Push resistance in in-hand manipulation." In 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014). IEEE, 2014. http://dx.doi.org/10.1109/iros.2014.6942901.
Full textChavan Dafle, Nikhil, Rachel Holladay, and Alberto Rodriguez. "In-Hand Manipulation via Motion Cones." In Robotics: Science and Systems 2018. Robotics: Science and Systems Foundation, 2018. http://dx.doi.org/10.15607/rss.2018.xiv.058.
Full textCalli, Berk, Krishnan Srinivasan, Andrew Morgan, and Aaron M. Dollar. "Learning Modes of Within-Hand Manipulation." In 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018. http://dx.doi.org/10.1109/icra.2018.8461187.
Full textMiyazaki, Ayano, Hiroko Ota, Kumiko Iwazaki, Mayu Urata, Mamoru Endo, and Takami Yasuda. "Hand Tracking-based VR Ikebana Manipulation." In 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE). IEEE, 2021. http://dx.doi.org/10.1109/gcce53005.2021.9621994.
Full textSarabandi, Soheil, Qiujie Lu, Genliang Chen, and Nicolas Rojas. "In-Hand Manipulation with Soft Fingertips." In 2022 IEEE 5th International Conference on Soft Robotics (RoboSoft). IEEE, 2022. http://dx.doi.org/10.1109/robosoft54090.2022.9762182.
Full textWaxman, Naftali, Sarit Kraus, and Noam Hazon. "Manipulation of k-Coalitional Games on Social Networks." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/63.
Full textHaustein, Joshua A., Silvia Cruciani, Rizwan Asif, Kaiyu Hang, and Danica Kragic. "Placing Objects with prior In-Hand Manipulation using Dexterous Manipulation Graphs." In 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids). IEEE, 2019. http://dx.doi.org/10.1109/humanoids43949.2019.9035033.
Full textReports on the topic "Hand manipulation"
Badler, Norman I. Hand Tool Manipulation and Self-Presence in VR. Fort Belvoir, VA: Defense Technical Information Center, May 1999. http://dx.doi.org/10.21236/ada362871.
Full textAllen, Peter. Intelligent Sensor-Based Manipulation with Robotic Hands. Fort Belvoir, VA: Defense Technical Information Center, December 1998. http://dx.doi.org/10.21236/ada357655.
Full textKostenko, E. V., L. V. Petrova, I. V. Pogonchenkova, and A. S. Polischuk. Technical task «Cognitive-motor training of fine hand function and subject-manipulative activity with double and triple tasks in a virtual environment». OFERNIO, July 2022. http://dx.doi.org/10.12731/ofernio.2022.25034.
Full textDahl, Geoffrey E., Sameer Mabjeesh, Thomas B. McFadden, and Avi Shamay. Environmental manipulation during the dry period of ruminants: strategies to enhance subsequent lactation. United States Department of Agriculture, February 2006. http://dx.doi.org/10.32747/2006.7586544.bard.
Full textSteffens, John C., and Eithan Harel. Polyphenol Oxidases- Expression, Assembly and Function. United States Department of Agriculture, January 1995. http://dx.doi.org/10.32747/1995.7571358.bard.
Full textWeiss, David, and Neil Olszewski. Manipulation of GA Levels and GA Signal Transduction in Anthers to Generate Male Sterility. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7580678.bard.
Full textElizur, Abigail, Amir Sagi, Gideon Hulata, Clive Jones, and Wayne Knibb. Improving Crustacean Aquaculture Production Efficiencies through Development of Monosex Populations Using Endocrine and Molecular Manipulations. United States Department of Agriculture, June 2010. http://dx.doi.org/10.32747/2010.7613890.bard.
Full textBennett, Alan B., Arthur A. Schaffer, Ilan Levin, Marina Petreikov, and Adi Doron-Faigenboim. Manipulating fruit chloroplasts as a strategy to improve fruit quality. United States Department of Agriculture, January 2013. http://dx.doi.org/10.32747/2013.7598148.bard.
Full textHorwitz, Benjamin A., and Barbara Gillian Turgeon. Fungal Iron Acquisition, Oxidative Stress and Virulence in the Cochliobolus-maize Interaction. United States Department of Agriculture, March 2012. http://dx.doi.org/10.32747/2012.7709885.bard.
Full textGranot, David, Scott Holaday, and Randy D. Allen. Enhancing Cotton Fiber Elongation and Cellulose Synthesis by Manipulating Fructokinase Activity. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7613878.bard.
Full text