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Статті в журналах з теми "Robotics hand"
Parida, P. K., Bibhuti Bhusan Biswal, and M. R. Khan. "Kinematic Modeling and Analysis of a Multifingered Robotic Hand." Advanced Materials Research 383-390 (November 2011): 6684–88. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.6684.
Повний текст джерелаLeiper, K. J. "Robotics - a helping hand?" TrAC Trends in Analytical Chemistry 4, no. 2 (February 1985): 40–43. http://dx.doi.org/10.1016/0165-9936(85)85022-6.
Повний текст джерелаBahrin, Syed Zainal Abidin Syed Kamarul, and 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 (November 30, 2018): 765. http://dx.doi.org/10.14419/ijet.v7i4.35.23104.
Повний текст джерелаShaji, Ashwin K., and Rinku Dhiman. "Gesture Controlled Robotic Hand Using RF Unit and Accelerometer." International Journal of Research in Engineering, Science and Management 3, no. 11 (November 30, 2020): 125–27. http://dx.doi.org/10.47607/ijresm.2020.387.
Повний текст джерелаOno, 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.
Повний текст джерелаShahid, Talha, Darwin Gouwanda, Surya G. Nurzaman, and Alpha A. Gopalai. "Moving toward Soft Robotics: A Decade Review of the Design of Hand Exoskeletons." Biomimetics 3, no. 3 (July 18, 2018): 17. http://dx.doi.org/10.3390/biomimetics3030017.
Повний текст джерелаPozzi, Maria, Sara Marullo, Gionata Salvietti, Joao Bimbo, Monica Malvezzi, and Domenico Prattichizzo. "Hand closure model for planning top grasps with soft robotic hands." International Journal of Robotics Research 39, no. 14 (August 10, 2020): 1706–23. http://dx.doi.org/10.1177/0278364920947469.
Повний текст джерелаBiswal, Deepak Ranjan, and 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 (September 30, 2022): 100–108. http://dx.doi.org/10.22214/ijraset.2022.46579.
Повний текст джерелаVargas, Oscar, Omar Flor, and Carlos Toapanta. "Robotic hand design with linear actuators based on Toronto development." Athenea 1, no. 1 (September 26, 2020): 22–28. http://dx.doi.org/10.47460/athenea.v1i1.3.
Повний текст джерелаCastiblanco, Paola Andrea, José Luis Ramirez, and 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 (May 15, 2021): 401–26. http://dx.doi.org/10.17509/ijost.v6i2.35630.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаA 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.
Повний текст джерелаAlshahid, Kuteiba. "Computer modelling of the human hand." Thesis, University of Sussex, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316650.
Повний текст джерелаOlson, Stephanie T. "Human-Inspired Robotic Hand-Eye Coordination." Thesis, Florida Atlantic University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10928904.
Повний текст джерелаMy 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.
Повний текст джерелаGoettsch, 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.
Повний текст джерелаAl-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.
Повний текст джерелаChristian, Matthew. "Improving Motor Skills of a Smart Prosthetic Hand by Deep Learning." Thesis, Tennessee State University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=10979821.
Повний текст джерелаMedical 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/.
Повний текст джерелаRay, 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.
Повний текст джерелаКниги з теми "Robotics hand"
1945-, Howell Anthony, ed. Hand-made machines. Cardiff, Wales?]: Z Productions, 2007.
Знайти повний текст джерелаCorporation, Meridian, and United States. National Aeronautics and Space Administration., eds. Force reflecting hand controller for manipulator teleoperation. Alexandria, VA: Meridian Corporation, 1991.
Знайти повний текст джерелаWe, robot: Skywalker's hand, blade runners, Iron Man, slutbots, and how fiction became fact. Guilford, CT: Lyons Press, 2011.
Знайти повний текст джерелаDriels, Morris. Adaptive control of direct drive dexterous robotic hand with bilateral tactile sensing. Monterey, Calif: Naval Postgraduate School, 1990.
Знайти повний текст джерелаA, Goodale Melvyn, ed. Vision and action: The control of grasping. Norwood, N.J: Ablex Pub. Corp., 1990.
Знайти повний текст джерелаChaudhary, Ankit. Robust Hand Gesture Recognition for Robotic Hand Control. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-4798-5.
Повний текст джерелаControl theory of multi-fingered hands: A modelling and analytical-mechanics approach for dexterity and intelligence. London: Springer, 2008.
Знайти повний текст джерелаBirglen, Lionel, Thierry Laliberté, and Clément Gosselin. Underactuated Robotic Hands. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-77459-4.
Повний текст джерелаBirglen, Lionel. Underactuated robotic hands. Berlin: Springer, 2008.
Знайти повний текст джерелаBirglen, Lionel. Underactuated robotic hands. Berlin: Springer, 2008.
Знайти повний текст джерелаЧастини книг з теми "Robotics hand"
Narayanan, 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.
Повний текст джерелаKessens, Chad C., and Jaydev P. Desai. "Compact Hand with Passive Grasping." In Experimental Robotics, 117–32. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23778-7_9.
Повний текст джерелаLiu, Bingchen, Li Jiang, and Shaowei Fan. "Hand Posture Reconstruction Through Task-Dependent Hand Synergies." In Intelligent Robotics and Applications, 14–24. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89095-7_2.
Повний текст джерелаHirzinger, G., J. Butterfaß, S. Knoch, and H. Liu. "DLR’s multisensory articulated hand." In Experimental Robotics V, 47–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0112949.
Повний текст джерелаDeshpande, Ashish D. "Humanlike Hand Mechanism." In Humanoid Robotics: A Reference, 1–18. Dordrecht: Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-007-7194-9_88-1.
Повний текст джерелаChe, Demeng, and Wenzeng Zhang. "A Humanoid Robot Upper Limb System with Anthropomorphic Robot Hand: GCUA Hand II." In Social Robotics, 182–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17248-9_19.
Повний текст джерелаZhang, Chi, Wenzeng Zhang, Zhenguo Sun, and Qiang Chen. "HAG-SR Hand: Highly-Anthropomorphic-Grasping Under-Actuated Hand with Naturally Coupled States." In Social Robotics, 475–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34103-8_48.
Повний текст джерелаOdhner, 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.
Повний текст джерелаGrebenstein, Markus. "The Awiwi Hand: An Artificial Hand for the DLR Hand Arm System." In Springer Tracts in Advanced Robotics, 65–130. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03593-2_4.
Повний текст джерелаSong, Shuang, and Wenzeng Zhang. "PCSS Hand: An Underactuated Robotic Hand with a Novel Parallel-Coupled Switchable Self-adaptive Grasp." In Social Robotics, 481–91. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47437-3_47.
Повний текст джерелаТези доповідей конференцій з теми "Robotics hand"
Paturca, Sanda Victorinne, Miruna Petraru, Valeriu Bostan, Cosmin Karl Banica, and Vasile Plesca. "Robotics Laboratory - Developing a Robotic Hand Prosthesis." In 2020 International Symposium on Fundamentals of Electrical Engineering (ISFEE). IEEE, 2020. http://dx.doi.org/10.1109/isfee51261.2020.9756143.
Повний текст джерелаReymundo, Alberto A., Elvin M. Munoz, Marcelo Navarro, Emir Vela, and Hermano Igo Krebs. "Hand rehabilitation using Soft-Robotics." In 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob). IEEE, 2016. http://dx.doi.org/10.1109/biorob.2016.7523708.
Повний текст джерелаShimabukuro, Yuto, Shotaro Gushi, and Hiroki Higa. "Trial Development of a Robotic Hand Based on Soft Robotics." In 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech). IEEE, 2022. http://dx.doi.org/10.1109/lifetech53646.2022.9754918.
Повний текст джерелаLiu, Jie, and Yuru Zhang. "Mapping human hand motion to dexterous robotic hand." In 2007 IEEE International Conference on Robotics and biomimetics (ROBIO). IEEE, 2007. http://dx.doi.org/10.1109/robio.2007.4522270.
Повний текст джерелаMattar, Ebrahim. "Biomimetic Dexterous Hands: Human Like Multi-fingered Robotics Hand Control." In 2012 UKSim 14th International Conference on Computer Modelling and Simulation (UKSim). IEEE, 2012. http://dx.doi.org/10.1109/uksim.2012.35.
Повний текст джерелаFiorini, Paolo. "Smart Hand For Manipulators." In Robotics and IECON '87 Conferences, edited by Abe Abramovich. SPIE, 1987. http://dx.doi.org/10.1117/12.943011.
Повний текст джерелаXu, Jijie, Michael Y. Wang, Hong Wang, and Zexiang Li. "Force Analysis of Whole Hand Grasp by Multifingered Robotic Hand." In 2007 IEEE International Conference on Robotics and Automation. IEEE, 2007. http://dx.doi.org/10.1109/robot.2007.363789.
Повний текст джерелаMa, 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.
Повний текст джерелаScarcia, Umberto, Roberto Meattini, and Claudio Melchiorri. "Mapping human hand fingertips motion to an anthropomorphic robotic hand." In 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2017. http://dx.doi.org/10.1109/robio.2017.8324511.
Повний текст джерелаOno, E., H. Ichijou, and N. Aisaka. "Robot hand for handling cloth." In Fifth International Conference on Advanced Robotics 'Robots in Unstructured Environments. IEEE, 1991. http://dx.doi.org/10.1109/icar.1991.240582.
Повний текст джерелаЗвіти організацій з теми "Robotics hand"
Melchiorri, Claudio, and J. K. Salisbury. Exploiting the Redundancy of a Hand-Arm Robotic System. Fort Belvoir, VA: Defense Technical Information Center, October 1990. http://dx.doi.org/10.21236/ada241161.
Повний текст джерелаAllen, Peter. Intelligent Sensor-Based Manipulation with Robotic Hands. Fort Belvoir, VA: Defense Technical Information Center, December 1998. http://dx.doi.org/10.21236/ada357655.
Повний текст джерелаDriels, Morris R. Adaptive Control of Direct Drive Dexterous Robotic Hand with Bilateral Tactile Sensing. Fort Belvoir, VA: Defense Technical Information Center, December 1990. http://dx.doi.org/10.21236/ada233980.
Повний текст джерелаIberall, Thea, and 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, April 1988. http://dx.doi.org/10.21236/ada203788.
Повний текст джерелаAdebayo, 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, August 2022. http://dx.doi.org/10.1308/fos2.2022.
Повний текст джерелаHand-assist, laparoscopic and robotic live donor nephrectomy – advantages and drawbacks of each technique. BJUI Knowledge, May 2017. http://dx.doi.org/10.18591/bjuik.0382.
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