Littérature scientifique sur le sujet « Robotics hand »
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Articles de revues sur le sujet "Robotics hand"
Parida, P. K., Bibhuti Bhusan Biswal et M. R. Khan. « Kinematic Modeling and Analysis of a Multifingered Robotic Hand ». Advanced Materials Research 383-390 (novembre 2011) : 6684–88. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.6684.
Texte intégralLeiper, K. J. « Robotics - a helping hand ? » TrAC Trends in Analytical Chemistry 4, no 2 (février 1985) : 40–43. http://dx.doi.org/10.1016/0165-9936(85)85022-6.
Texte intégralBahrin, Syed Zainal Abidin Syed Kamarul, et Khairul Salleh Mohamed Sahari. « Initial Development of a Master-Slave Controller for a Five-Fingered Robotic Hand Design by Using Pressure Sensors Comparator Technique ». International Journal of Engineering & ; Technology 7, no 4.35 (30 novembre 2018) : 765. http://dx.doi.org/10.14419/ijet.v7i4.35.23104.
Texte intégralShaji, Ashwin K., et Rinku Dhiman. « Gesture Controlled Robotic Hand Using RF Unit and Accelerometer ». International Journal of Research in Engineering, Science and Management 3, no 11 (30 novembre 2020) : 125–27. http://dx.doi.org/10.47607/ijresm.2020.387.
Texte intégralOno, Eiichi. « KANSEI and Robotics. Robotic Kansei Measurement of Hand Value. » Journal of the Robotics Society of Japan 17, no 7 (1999) : 928–32. http://dx.doi.org/10.7210/jrsj.17.928.
Texte intégralShahid, Talha, Darwin Gouwanda, Surya G. Nurzaman et Alpha A. Gopalai. « Moving toward Soft Robotics : A Decade Review of the Design of Hand Exoskeletons ». Biomimetics 3, no 3 (18 juillet 2018) : 17. http://dx.doi.org/10.3390/biomimetics3030017.
Texte intégralPozzi, Maria, Sara Marullo, Gionata Salvietti, Joao Bimbo, Monica Malvezzi et Domenico Prattichizzo. « Hand closure model for planning top grasps with soft robotic hands ». International Journal of Robotics Research 39, no 14 (10 août 2020) : 1706–23. http://dx.doi.org/10.1177/0278364920947469.
Texte intégralBiswal, Deepak Ranjan, et Pramod Kumar Parida. « Modelling and Finite Element Based Analysis of a Five Fingered Underactuated Robotic Hand ». International Journal for Research in Applied Science and Engineering Technology 10, no 9 (30 septembre 2022) : 100–108. http://dx.doi.org/10.22214/ijraset.2022.46579.
Texte intégralVargas, Oscar, Omar Flor et Carlos Toapanta. « Robotic hand design with linear actuators based on Toronto development ». Athenea 1, no 1 (26 septembre 2020) : 22–28. http://dx.doi.org/10.47460/athenea.v1i1.3.
Texte intégralCastiblanco, Paola Andrea, José Luis Ramirez et Astrid Rubiano. « Smart Materials and Their Application in Robotic Hand Systems : A State of the Art ». Indonesian Journal of Science and Technology 6, no 2 (15 mai 2021) : 401–26. http://dx.doi.org/10.17509/ijost.v6i2.35630.
Texte intégralThèses sur le sujet "Robotics 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.
Texte intégralA 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.
Ziesmer, Jacob Ames. « Reconfigurable End Effector Allowing For In-Hand Manipulation Without Finger Gaiting Or Regrasping ». [Milwaukee, Wis.] : e-Publications@Marquette, 2009. http://epublications.marquette.edu/theses_open/2.
Texte intégralAlshahid, Kuteiba. « Computer modelling of the human hand ». Thesis, University of Sussex, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316650.
Texte intégralOlson, Stephanie T. « Human-Inspired Robotic Hand-Eye Coordination ». Thesis, Florida Atlantic University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10928904.
Texte intégralMy thesis covers the design and fabrication of novel humanoid robotic eyes and the process of interfacing them with the industry robot, Baxter. The mechanism can reach a maximum saccade velocity comparable to that of human eyes. Unlike current robotic eye designs, these eyes have independent left-right and up-down gaze movements achieved using a servo and DC motor, respectively. A potentiometer and rotary encoder enable closed-loop control. An Arduino board and motor driver control the assembly. The motor requires a 12V power source, and all other components are powered through the Arduino from a PC.
Hand-eye coordination research influenced how the eyes were programmed to move relative to Baxter’s grippers. Different modes were coded to adjust eye movement based on the durability of what Baxter is handling. Tests were performed on a component level as well as on the full assembly to prove functionality.
Vin, Jerry. « ROBOTIC FINGERSPELLING HAND FOR THE DEAF-BLIND ». DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/1100.
Texte intégralGoettsch, Ulix. « Basis functions for use in direct calibration techniques to determine part-in-hand location / ». Thesis, Connect to this title online ; UW restricted, 2001. http://hdl.handle.net/1773/7147.
Texte intégralAl-Gallaf, Ebrahim Abdulla. « Task space robot hand manipulation and optimal distribution of fingertip force functions ». Thesis, University of Reading, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387046.
Texte intégralChristian, Matthew. « Improving Motor Skills of a Smart Prosthetic Hand by Deep Learning ». Thesis, Tennessee State University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=10979821.
Texte intégralMedical science has made it possible to use prosthetic devices to restore the basic abilities needed to function in everyday life. Although robotic prosthetic hands can improve mobility over a simple hook prosthetic, the current state-of-the-art devices are still limited in their ability to grasp and hold objects as quickly and as accurately as the natural human hand. This project trains a deep learning neural network to control a robotic prosthetic hand in performing a grasping task.
Pretlove, John. « Stereoscopic eye-in-hand active machine vision for real-time adaptive robot arm guidance ». Thesis, University of Surrey, 1993. http://epubs.surrey.ac.uk/843230/.
Texte intégralRay, Zachary J. « Hand Orientation Feedback for Grasped Object Slip Prevention with a Prosthetic Hand ». University of Akron / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=akron1461181998.
Texte intégralLivres sur le sujet "Robotics hand"
1945-, Howell Anthony, dir. Hand-made machines. Cardiff, Wales?] : Z Productions, 2007.
Trouver le texte intégralCorporation, Meridian, et United States. National Aeronautics and Space Administration., dir. Force reflecting hand controller for manipulator teleoperation. Alexandria, VA : Meridian Corporation, 1991.
Trouver le texte intégralWe, robot : Skywalker's hand, blade runners, Iron Man, slutbots, and how fiction became fact. Guilford, CT : Lyons Press, 2011.
Trouver le texte intégralDriels, Morris. Adaptive control of direct drive dexterous robotic hand with bilateral tactile sensing. Monterey, Calif : Naval Postgraduate School, 1990.
Trouver le texte intégralA, Goodale Melvyn, dir. Vision and action : The control of grasping. Norwood, N.J : Ablex Pub. Corp., 1990.
Trouver le texte intégralChaudhary, Ankit. Robust Hand Gesture Recognition for Robotic Hand Control. Singapore : Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-4798-5.
Texte intégralControl theory of multi-fingered hands : A modelling and analytical-mechanics approach for dexterity and intelligence. London : Springer, 2008.
Trouver le texte intégralBirglen, Lionel, Thierry Laliberté et Clément Gosselin. Underactuated Robotic Hands. Berlin, Heidelberg : Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-77459-4.
Texte intégralBirglen, Lionel. Underactuated robotic hands. Berlin : Springer, 2008.
Trouver le texte intégralBirglen, Lionel. Underactuated robotic hands. Berlin : Springer, 2008.
Trouver le texte intégralChapitres de livres sur le sujet "Robotics hand"
Narayanan, Gokul, Joshua Amrith Raj, Abhinav Gandhi, Aditya A. Gupte, Adam J. Spiers et Berk Calli. « Within-Hand Manipulation Planning and Control for Variable Friction Hands ». Dans Experimental Robotics, 600–610. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71151-1_53.
Texte intégralKessens, Chad C., et Jaydev P. Desai. « Compact Hand with Passive Grasping ». Dans Experimental Robotics, 117–32. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23778-7_9.
Texte intégralLiu, Bingchen, Li Jiang et Shaowei Fan. « Hand Posture Reconstruction Through Task-Dependent Hand Synergies ». Dans Intelligent Robotics and Applications, 14–24. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89095-7_2.
Texte intégralHirzinger, G., J. Butterfaß, S. Knoch et H. Liu. « DLR’s multisensory articulated hand ». Dans Experimental Robotics V, 47–55. Berlin, Heidelberg : Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0112949.
Texte intégralDeshpande, Ashish D. « Humanlike Hand Mechanism ». Dans Humanoid Robotics : A Reference, 1–18. Dordrecht : Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-007-7194-9_88-1.
Texte intégralChe, Demeng, et Wenzeng Zhang. « A Humanoid Robot Upper Limb System with Anthropomorphic Robot Hand : GCUA Hand II ». Dans Social Robotics, 182–91. Berlin, Heidelberg : Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17248-9_19.
Texte intégralZhang, Chi, Wenzeng Zhang, Zhenguo Sun et Qiang Chen. « HAG-SR Hand : Highly-Anthropomorphic-Grasping Under-Actuated Hand with Naturally Coupled States ». Dans Social Robotics, 475–84. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34103-8_48.
Texte intégralOdhner, Lael U., Raymond R. Ma et Aaron M. Dollar. « Experiments in Underactuated In-Hand Manipulation ». Dans Experimental Robotics, 27–40. Heidelberg : Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00065-7_3.
Texte intégralGrebenstein, Markus. « The Awiwi Hand : An Artificial Hand for the DLR Hand Arm System ». Dans Springer Tracts in Advanced Robotics, 65–130. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03593-2_4.
Texte intégralSong, Shuang, et Wenzeng Zhang. « PCSS Hand : An Underactuated Robotic Hand with a Novel Parallel-Coupled Switchable Self-adaptive Grasp ». Dans Social Robotics, 481–91. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47437-3_47.
Texte intégralActes de conférences sur le sujet "Robotics hand"
Paturca, Sanda Victorinne, Miruna Petraru, Valeriu Bostan, Cosmin Karl Banica et Vasile Plesca. « Robotics Laboratory - Developing a Robotic Hand Prosthesis ». Dans 2020 International Symposium on Fundamentals of Electrical Engineering (ISFEE). IEEE, 2020. http://dx.doi.org/10.1109/isfee51261.2020.9756143.
Texte intégralReymundo, Alberto A., Elvin M. Munoz, Marcelo Navarro, Emir Vela et Hermano Igo Krebs. « Hand rehabilitation using Soft-Robotics ». Dans 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob). IEEE, 2016. http://dx.doi.org/10.1109/biorob.2016.7523708.
Texte intégralShimabukuro, Yuto, Shotaro Gushi et Hiroki Higa. « Trial Development of a Robotic Hand Based on Soft Robotics ». Dans 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech). IEEE, 2022. http://dx.doi.org/10.1109/lifetech53646.2022.9754918.
Texte intégralLiu, Jie, et Yuru Zhang. « Mapping human hand motion to dexterous robotic hand ». Dans 2007 IEEE International Conference on Robotics and biomimetics (ROBIO). IEEE, 2007. http://dx.doi.org/10.1109/robio.2007.4522270.
Texte intégralMattar, Ebrahim. « Biomimetic Dexterous Hands : Human Like Multi-fingered Robotics Hand Control ». Dans 2012 UKSim 14th International Conference on Computer Modelling and Simulation (UKSim). IEEE, 2012. http://dx.doi.org/10.1109/uksim.2012.35.
Texte intégralFiorini, Paolo. « Smart Hand For Manipulators ». Dans Robotics and IECON '87 Conferences, sous la direction de Abe Abramovich. SPIE, 1987. http://dx.doi.org/10.1117/12.943011.
Texte intégralXu, Jijie, Michael Y. Wang, Hong Wang et Zexiang Li. « Force Analysis of Whole Hand Grasp by Multifingered Robotic Hand ». Dans 2007 IEEE International Conference on Robotics and Automation. IEEE, 2007. http://dx.doi.org/10.1109/robot.2007.363789.
Texte intégralMa, Raymond R., Walter G. Bircher et Aaron M. Dollar. « Toward robust, whole-hand caging manipulation with underactuated hands ». Dans 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2017. http://dx.doi.org/10.1109/icra.2017.7989158.
Texte intégralScarcia, Umberto, Roberto Meattini et Claudio Melchiorri. « Mapping human hand fingertips motion to an anthropomorphic robotic hand ». Dans 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2017. http://dx.doi.org/10.1109/robio.2017.8324511.
Texte intégralOno, E., H. Ichijou et N. Aisaka. « Robot hand for handling cloth ». Dans Fifth International Conference on Advanced Robotics 'Robots in Unstructured Environments. IEEE, 1991. http://dx.doi.org/10.1109/icar.1991.240582.
Texte intégralRapports d'organisations sur le sujet "Robotics hand"
Melchiorri, Claudio, et J. K. Salisbury. Exploiting the Redundancy of a Hand-Arm Robotic System. Fort Belvoir, VA : Defense Technical Information Center, octobre 1990. http://dx.doi.org/10.21236/ada241161.
Texte intégralAllen, Peter. Intelligent Sensor-Based Manipulation with Robotic Hands. Fort Belvoir, VA : Defense Technical Information Center, décembre 1998. http://dx.doi.org/10.21236/ada357655.
Texte intégralDriels, Morris R. Adaptive Control of Direct Drive Dexterous Robotic Hand with Bilateral Tactile Sensing. Fort Belvoir, VA : Defense Technical Information Center, décembre 1990. http://dx.doi.org/10.21236/ada233980.
Texte intégralIberall, Thea, et S. T. Venkataraman. Workshop on Dextrous Robot Hands : IEEE International Conference on Robotics and Automation. Held in Philadelphia, PA April 25-29, 1988. Fort Belvoir, VA : Defense Technical Information Center, avril 1988. http://dx.doi.org/10.21236/ada203788.
Texte intégralAdebayo, Oliver, Joanna Aldoori, William Allum, Noel Aruparayil, Abdul Badran, Jasmine Winter Beatty, Sanchita Bhatia et al. Future of Surgery : Technology Enhanced Surgical Training : Report of the FOS:TEST Commission. The Royal College of Surgeons of England, août 2022. http://dx.doi.org/10.1308/fos2.2022.
Texte intégralHand-assist, laparoscopic and robotic live donor nephrectomy – advantages and drawbacks of each technique. BJUI Knowledge, mai 2017. http://dx.doi.org/10.18591/bjuik.0382.
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