Literatura académica sobre el tema "Robotics hand"
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Artículos de revistas sobre el tema "Robotics hand"
Parida, P. K., Bibhuti Bhusan Biswal y M. R. Khan. "Kinematic Modeling and Analysis of a Multifingered Robotic Hand". Advanced Materials Research 383-390 (noviembre de 2011): 6684–88. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.6684.
Texto completoLeiper, K. J. "Robotics - a helping hand?" TrAC Trends in Analytical Chemistry 4, n.º 2 (febrero de 1985): 40–43. http://dx.doi.org/10.1016/0165-9936(85)85022-6.
Texto completoBahrin, Syed Zainal Abidin Syed Kamarul y 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, n.º 4.35 (30 de noviembre de 2018): 765. http://dx.doi.org/10.14419/ijet.v7i4.35.23104.
Texto completoShaji, Ashwin K. y Rinku Dhiman. "Gesture Controlled Robotic Hand Using RF Unit and Accelerometer". International Journal of Research in Engineering, Science and Management 3, n.º 11 (30 de noviembre de 2020): 125–27. http://dx.doi.org/10.47607/ijresm.2020.387.
Texto completoOno, Eiichi. "KANSEI and Robotics. Robotic Kansei Measurement of Hand Value." Journal of the Robotics Society of Japan 17, n.º 7 (1999): 928–32. http://dx.doi.org/10.7210/jrsj.17.928.
Texto completoShahid, Talha, Darwin Gouwanda, Surya G. Nurzaman y Alpha A. Gopalai. "Moving toward Soft Robotics: A Decade Review of the Design of Hand Exoskeletons". Biomimetics 3, n.º 3 (18 de julio de 2018): 17. http://dx.doi.org/10.3390/biomimetics3030017.
Texto completoPozzi, Maria, Sara Marullo, Gionata Salvietti, Joao Bimbo, Monica Malvezzi y Domenico Prattichizzo. "Hand closure model for planning top grasps with soft robotic hands". International Journal of Robotics Research 39, n.º 14 (10 de agosto de 2020): 1706–23. http://dx.doi.org/10.1177/0278364920947469.
Texto completoBiswal, Deepak Ranjan y 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, n.º 9 (30 de septiembre de 2022): 100–108. http://dx.doi.org/10.22214/ijraset.2022.46579.
Texto completoVargas, Oscar, Omar Flor y Carlos Toapanta. "Robotic hand design with linear actuators based on Toronto development". Athenea 1, n.º 1 (26 de septiembre de 2020): 22–28. http://dx.doi.org/10.47460/athenea.v1i1.3.
Texto completoCastiblanco, Paola Andrea, José Luis Ramirez y Astrid Rubiano. "Smart Materials and Their Application in Robotic Hand Systems: A State of the Art". Indonesian Journal of Science and Technology 6, n.º 2 (15 de mayo de 2021): 401–26. http://dx.doi.org/10.17509/ijost.v6i2.35630.
Texto completoTesis sobre el tema "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.
Texto completoA 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.
Texto completoAlshahid, Kuteiba. "Computer modelling of the human hand". Thesis, University of Sussex, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316650.
Texto completoOlson, Stephanie T. "Human-Inspired Robotic Hand-Eye Coordination". Thesis, Florida Atlantic University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10928904.
Texto completoMy 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.
Texto completoGoettsch, 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.
Texto completoAl-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.
Texto completoChristian, Matthew. "Improving Motor Skills of a Smart Prosthetic Hand by Deep Learning". Thesis, Tennessee State University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=10979821.
Texto completoMedical 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/.
Texto completoRay, 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.
Texto completoLibros sobre el tema "Robotics hand"
1945-, Howell Anthony, ed. Hand-made machines. Cardiff, Wales?]: Z Productions, 2007.
Buscar texto completoCorporation, Meridian y United States. National Aeronautics and Space Administration., eds. Force reflecting hand controller for manipulator teleoperation. Alexandria, VA: Meridian Corporation, 1991.
Buscar texto completoWe, robot: Skywalker's hand, blade runners, Iron Man, slutbots, and how fiction became fact. Guilford, CT: Lyons Press, 2011.
Buscar texto completoDriels, Morris. Adaptive control of direct drive dexterous robotic hand with bilateral tactile sensing. Monterey, Calif: Naval Postgraduate School, 1990.
Buscar texto completoA, Goodale Melvyn, ed. Vision and action: The control of grasping. Norwood, N.J: Ablex Pub. Corp., 1990.
Buscar texto completoChaudhary, Ankit. Robust Hand Gesture Recognition for Robotic Hand Control. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-4798-5.
Texto completoControl theory of multi-fingered hands: A modelling and analytical-mechanics approach for dexterity and intelligence. London: Springer, 2008.
Buscar texto completoBirglen, Lionel, Thierry Laliberté y Clément Gosselin. Underactuated Robotic Hands. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-77459-4.
Texto completoBirglen, Lionel. Underactuated robotic hands. Berlin: Springer, 2008.
Buscar texto completoBirglen, Lionel. Underactuated robotic hands. Berlin: Springer, 2008.
Buscar texto completoCapítulos de libros sobre el tema "Robotics hand"
Narayanan, Gokul, Joshua Amrith Raj, Abhinav Gandhi, Aditya A. Gupte, Adam J. Spiers y Berk Calli. "Within-Hand Manipulation Planning and Control for Variable Friction Hands". En Experimental Robotics, 600–610. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71151-1_53.
Texto completoKessens, Chad C. y Jaydev P. Desai. "Compact Hand with Passive Grasping". En Experimental Robotics, 117–32. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23778-7_9.
Texto completoLiu, Bingchen, Li Jiang y Shaowei Fan. "Hand Posture Reconstruction Through Task-Dependent Hand Synergies". En Intelligent Robotics and Applications, 14–24. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89095-7_2.
Texto completoHirzinger, G., J. Butterfaß, S. Knoch y H. Liu. "DLR’s multisensory articulated hand". En Experimental Robotics V, 47–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0112949.
Texto completoDeshpande, Ashish D. "Humanlike Hand Mechanism". En Humanoid Robotics: A Reference, 1–18. Dordrecht: Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-007-7194-9_88-1.
Texto completoChe, Demeng y Wenzeng Zhang. "A Humanoid Robot Upper Limb System with Anthropomorphic Robot Hand: GCUA Hand II". En Social Robotics, 182–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17248-9_19.
Texto completoZhang, Chi, Wenzeng Zhang, Zhenguo Sun y Qiang Chen. "HAG-SR Hand: Highly-Anthropomorphic-Grasping Under-Actuated Hand with Naturally Coupled States". En Social Robotics, 475–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34103-8_48.
Texto completoOdhner, Lael U., Raymond R. Ma y Aaron M. Dollar. "Experiments in Underactuated In-Hand Manipulation". En Experimental Robotics, 27–40. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00065-7_3.
Texto completoGrebenstein, Markus. "The Awiwi Hand: An Artificial Hand for the DLR Hand Arm System". En Springer Tracts in Advanced Robotics, 65–130. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03593-2_4.
Texto completoSong, Shuang y Wenzeng Zhang. "PCSS Hand: An Underactuated Robotic Hand with a Novel Parallel-Coupled Switchable Self-adaptive Grasp". En Social Robotics, 481–91. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47437-3_47.
Texto completoActas de conferencias sobre el tema "Robotics hand"
Paturca, Sanda Victorinne, Miruna Petraru, Valeriu Bostan, Cosmin Karl Banica y Vasile Plesca. "Robotics Laboratory - Developing a Robotic Hand Prosthesis". En 2020 International Symposium on Fundamentals of Electrical Engineering (ISFEE). IEEE, 2020. http://dx.doi.org/10.1109/isfee51261.2020.9756143.
Texto completoReymundo, Alberto A., Elvin M. Munoz, Marcelo Navarro, Emir Vela y Hermano Igo Krebs. "Hand rehabilitation using Soft-Robotics". En 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob). IEEE, 2016. http://dx.doi.org/10.1109/biorob.2016.7523708.
Texto completoShimabukuro, Yuto, Shotaro Gushi y Hiroki Higa. "Trial Development of a Robotic Hand Based on Soft Robotics". En 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech). IEEE, 2022. http://dx.doi.org/10.1109/lifetech53646.2022.9754918.
Texto completoLiu, Jie y Yuru Zhang. "Mapping human hand motion to dexterous robotic hand". En 2007 IEEE International Conference on Robotics and biomimetics (ROBIO). IEEE, 2007. http://dx.doi.org/10.1109/robio.2007.4522270.
Texto completoMattar, Ebrahim. "Biomimetic Dexterous Hands: Human Like Multi-fingered Robotics Hand Control". En 2012 UKSim 14th International Conference on Computer Modelling and Simulation (UKSim). IEEE, 2012. http://dx.doi.org/10.1109/uksim.2012.35.
Texto completoFiorini, Paolo. "Smart Hand For Manipulators". En Robotics and IECON '87 Conferences, editado por Abe Abramovich. SPIE, 1987. http://dx.doi.org/10.1117/12.943011.
Texto completoXu, Jijie, Michael Y. Wang, Hong Wang y Zexiang Li. "Force Analysis of Whole Hand Grasp by Multifingered Robotic Hand". En 2007 IEEE International Conference on Robotics and Automation. IEEE, 2007. http://dx.doi.org/10.1109/robot.2007.363789.
Texto completoMa, Raymond R., Walter G. Bircher y Aaron M. Dollar. "Toward robust, whole-hand caging manipulation with underactuated hands". En 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2017. http://dx.doi.org/10.1109/icra.2017.7989158.
Texto completoScarcia, Umberto, Roberto Meattini y Claudio Melchiorri. "Mapping human hand fingertips motion to an anthropomorphic robotic hand". En 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2017. http://dx.doi.org/10.1109/robio.2017.8324511.
Texto completoOno, E., H. Ichijou y N. Aisaka. "Robot hand for handling cloth". En Fifth International Conference on Advanced Robotics 'Robots in Unstructured Environments. IEEE, 1991. http://dx.doi.org/10.1109/icar.1991.240582.
Texto completoInformes sobre el tema "Robotics hand"
Melchiorri, Claudio y J. K. Salisbury. Exploiting the Redundancy of a Hand-Arm Robotic System. Fort Belvoir, VA: Defense Technical Information Center, octubre de 1990. http://dx.doi.org/10.21236/ada241161.
Texto completoAllen, Peter. Intelligent Sensor-Based Manipulation with Robotic Hands. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 1998. http://dx.doi.org/10.21236/ada357655.
Texto completoDriels, Morris R. Adaptive Control of Direct Drive Dexterous Robotic Hand with Bilateral Tactile Sensing. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 1990. http://dx.doi.org/10.21236/ada233980.
Texto completoIberall, Thea y 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, abril de 1988. http://dx.doi.org/10.21236/ada203788.
Texto completoAdebayo, 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, agosto de 2022. http://dx.doi.org/10.1308/fos2.2022.
Texto completoHand-assist, laparoscopic and robotic live donor nephrectomy – advantages and drawbacks of each technique. BJUI Knowledge, mayo de 2017. http://dx.doi.org/10.18591/bjuik.0382.
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