Bibliografie tematiche / Arm

Letteratura scientifica selezionata sul tema "Arm"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 30 luglio 2024

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Articoli di riviste sul tema "Arm"

Targoński, Tadeusz, e Zbigniew Prokopiuk. "Arm in Arm with Death". Dialogue and Universalism 14, n. 5 (2004): 141–52. http://dx.doi.org/10.5840/du2004145/632.

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Soejima, J., H. Bessho, S. Komori e S. Tsuchiya. "NEW APPLE ROOTSTOCKS, ARM 1, ARM 7 AND ARM 8". Acta Horticulturae, n. 484 (dicembre 1998): 217–20. http://dx.doi.org/10.17660/actahortic.1998.484.37.

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de Llano Temboury, Alfonso Queipo, Rafael L??pez Ar??valo e Felipe Luna Jimenez. "ARM". Techniques in Hand & Upper Extremity Surgery 10, n. 1 (marzo 2006): 14–24. http://dx.doi.org/10.1097/00130911-200603000-00004.

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Higuchi, Mineo. "Human Symbiotic Assist Arm PAS-Arm". Journal of Robotics and Mechatronics 26, n. 2 (20 aprile 2014): 269–70. http://dx.doi.org/10.20965/jrm.2014.p0269.

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The passive assist arm (PAS-Arm) that we developed interacts with the operator by producing specified but arbitrary two-dimensional virtual guiding surfaces that constrain and guide the operator’s movement.

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Stewart, Joe. "Spam & Sobig: arm in arm". Network Security 2003, n. 10 (ottobre 2003): 12–16. http://dx.doi.org/10.1016/s1353-4858(03)01008-0.

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Miles, David. "To arm or not to arm?" Campus Security Report 14, n. 12 (25 marzo 2018): 1–6. http://dx.doi.org/10.1002/casr.30361.

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Dezhi, H., S. Hai, W. Jiwei, X. Jingsong, L. Yanna, P. Qiang e W. Lijuan. "One arm exercise induces significant inter-arm". Heart 97, Suppl 3 (1 ottobre 2011): A111—A112. http://dx.doi.org/10.1136/heartjnl-2011-300867.329.

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Khan, Ishrat M., Zhisheng Gao, Karine Khougaz e Adi Eisenberg. "Synthesis of three-arm poly(styrene-arm-styrene-arm-2-vinylpyridine) star copolymers". Macromolecules 25, n. 11 (maggio 1992): 3002–4. http://dx.doi.org/10.1021/ma00037a036.

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Brennan, Rory, Gregory Allen, Brian Griffin, Chris Ryder, John McGarry e Brendan O'Leary. "Long Arm". Books Ireland, n. 233 (2000): 226. http://dx.doi.org/10.2307/20632117.

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Mercer, N. S. G. "Arm Restraints". Cleft Palate-Craniofacial Journal 48, n. 3 (maggio 2011): 351. http://dx.doi.org/10.1597/09-214.

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Tesi sul tema "Arm"

Nore, Miko, e Caspar Westerberg. "Robotic Arm controlled by Arm Movements". Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264509.

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In recent decades human workers in manufacturing and overall industry have largely been replaced with robots and automated machines, but there are still plenty of tasks where human cognition is necessary. This paper presents the development of a wireless robotic arm controlled by a human arm, allowing both for the combination of a robotic arms strength to be combined with a humans cognition, and also for a human to execute dynamic tasks without being present. An application suited for work in toxic or otherwise harmful environments. This was accomplished by using a controller in the form of an exo-skeleton attached to the operators right arm and connected to the robotic arm through a transmitter. The controller measures the movements in each joint using potentiometers and the robotic arm mimics these movements. A glove with a flex sensor on the index finger was then attached to the controller to measure the finger motions. All the information containing the angle of rotations are sent wirelessly to the robotic arm using Arduino Uno and transceiver modules. The robotic arm received the information through another set of Arduino Uno and transceiver module which made each servomotor on the robotic arm to move accordingly. The result showed that the robotic arm could imitate the operator’s arm very well and was able to grab and move dierent objects with dierent weight and surfaces. The wireless control was reliable and could control the robotic arm while being in a dierent room, making it possible to use this robot for harmful environments for humans.
Under senare årtionden har mänskliga arbetare inom tillverkning och industri över lag i stor utsträckning ersatts av robotar och automatiserade maskiner, men det finns fortfarande uppgifter som kräver mänsklig tankeförmåga. Denna rapport presenterar utvecklingen av en trådlös robotarm styrd av en människas arm, vilket möjliggör både att kombinera en maskins styrka med en människas intelligens, samt för en människa att utföra dynamiska uppgifter utan att vara närvarande. En applikation lämplig för arbete i farliga miljöer. Detta uppnåddes med en styrenhet i form av ett exo-skelett fastsatt på operatörens högra arm och kopplad till robotarmen genom en sändare. Styrenheten mäter rörelserna i varje led med potentiometrar och robotarmen härmar dessa rörelser. En handske med en flexsensor på pekfingret fästes sedan på styrenheten för att mäta fingerrörelsen. All information som innehåller vinklar skickas trådlöst till robotarmen med hjälp av Arduino Uno och transceiver moduler. Robotarmen mottog informationen via en annan uppsättning Arduino Uno och transceiver modul som fick varje servomotor på robotarmen att rotera i enlighet. Resultatet visade att robotarmen kunde imitera operatörens arm väl och kunde bära olika föremål med olika vikter och ytor. Den trådlösa styrningen var pålitlig och kunde styra robotarmen från ett annat rum, vilket gör det möjligt att använda denna robot i skadliga miljöer för människor.

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Immenschuh, Ursula. ""My arm und leg they are just sleeping"". Saarbrücken VDM Verlag Dr. Müller, 2005. http://d-nb.info/987893564/04.

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On, Calvin. "ANA : a method for ARM-on-ARM execution". Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/45973.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (p. 61-62).
This thesis proposes and implements ANA, a new method for the simulation of ARM programs on the ARM platform. ANA is a lightweight ARM instruction interpreter that uses the hardware to do a lot of the work for the read-decode-execute piece of simulation. We compare this method to the two existing methods of full simulation and direct execution that have been traditionally used to achieve this. We demonstrate that despite some setbacks caused by the prefetching and caching behaviors of the ARM, ANA continues to be a very useful tool for prototyping and for increasing simulator performance. Finally, we identify the important role that ANA can play in our current efforts to virtualize the ARM.
by Calvin On.
M.Eng.

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Loburenko, M. V. "Bionic arm". Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/33723.

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A new prosthetic arm has been developed by a researcher in Switzerland that not only provides the user with a working limb, but also lets them feel rudimentary sensations from the hand and fingers. It's being tested out on an anonymous patient later this year. The artificial limb was designed by Dr. Silvestro Micera at the Ecole Polytechnique Federale de Lausanne in Switzerland. It works by tapping directly into the median and ulnar nerves in the arm, allowing signals from the brain to reach the limb — and vice versa. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/33723

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MARKOVSKA, MARIA, e VIEIDER FELICIA GIHL. "Drawing robotic arm". Thesis, KTH, Maskinkonstruktion (Inst.), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-226660.

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A drawing robot requires precise steering and high accuracy.The purpose with this project is to design a roboticarm with 3-dof that can be fed with a gray scale picture anddraw it on a paper. This thesis investigates which drawingtechnique that fits better for the robot, which controller isthe most suitable and what accuracy is achieved with thechosen controller. During the project a drawing robot iscreated and two different controllers are implemented andtested PD and PID. The implementation shows that PDcontrol is not working for this application. Therefore, PIDcontrol is the most suitable. Experiments are set up tomeasure the drawing accuracy using the PID-controller. Adrawing accuracy of ±11mm is achieved by the robot. Theachieved accuracy is a result depending on several factors,for instance the resolution of the potentiometers.
En ritande robot kräver en precis styrning och hög noggrannhet. Syftet med detta projekt är att skapa en robot arm med tre frihetsgrader som kan matas med en svartvit bild och rita upp den på ett papper. Projektet undersöker vilken ritteknik som är mest passande för ändamålet, vilken regulator som passar bäst samt vilken noggrannhet som uppnås för den ritade bilden. Under projektets gång skapas en ritande robot och två olika regulatorer testas och implementeras, PD- och PID-regulatorn. Implementeringen visar att en PD-regulator inte fungerar för denna applikation. PID-regulatorn är därför den lämpligaste. Experiment utförs med PID-regulatorn implementerad för att mäta den noggrannhet som roboten ritar med. Roboten uppnår en noggrannhet på ±11mm. Den uppnådda noggrannheten är ett resultat beroende av flera faktorer, bland annat upplösningen på potentiometrarna.

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WALLÉN, KIESSLING ALEXANDER, e NICLAS MÄÄTTÄ. "Anthropomorphic Robot Arm". Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279804.

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Robot manipulators are commonly used in today's industrial applications. In this report a 3D-printed anthropomorphic robot arm with three degrees of freedom was constructed. The robot arm operates with the use of a microcontroller and servomotors. Through utilizing the Denavit-Hartenberg method and inverse kinematics the robot’s end effector is able to reach a specified point in space. This report has found that the accuracy of the constructed robotic manipulator reaching a specific coordinate depends on the distance of the end effector from its base. The relative error of the constructed robot’s positioning falls within 1.3- 6.9%, with a 99% confidence.
Robotmanipulatorer är idag vanligt förekommande i industriella applikationer. I denna rapport konstrueras en 3D-printad antropomorf robotarm med tre frihetsgrader. Robotarmen styrs med hjälp av en mikrokontroller och servomotorer. Baserat på DenavitHartenberg metoden och inverskinematik kan robotens ändpunkt ta sig till en specificerad punkt i rummet. Vidare har rapporten funnit att den konstruerade robotens exakthet beror på avståndet emellan robotens manipulator och dess bas. Det relativa felet av robotens positionering ligger inom intervallet 1.3-6.9% med en 99% konfidens.

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Aronsson, Alexander, e Fahim Pirmohamed. "Multipurpose Robot Arm". Thesis, KTH, Mekatronik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296223.

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Today’s society is facing a large increase of automation and smart devices. Everything from coffee machines to fridges include some kind of electronics and embedded systems. The focus of this Bachelor’s thesis was to dive deeper into how these automated devices can be controlled and more specifically a robot arm. The main purpose revolved around constructing a robotic arm that could be controlled through three different methods using MATLAB. These three were manual control, numerical analysis control and with a neural network based control. The prototype was created by assembling six servo motors onto 3D-printed parts. The arm consisted of three main parts which were a base, an arm and a gripper. The system was controlled by an Arduino micro-controller connected to a computer. The results show that the manual control method was easy to implement, fast and reliable. It allows control of all the angels for each servo motor, which also means controlling each individual degree of freedom. The numerical way, using Newton-Raphson’s method, broadened the abilities to control the arm but was slower. The third and final solution was to use fuzzy-logic. This ended up being a powerful method allowing for great control with low latency. While unreliable, the method showed great potential and with refinement could surpass the others. The conclusion was that the neural network method was the overall best method for controlling and manoeuvring the robot arm using MATLAB.
Dagens samhälle står inför en stor ökning av automatisering och smarta produkter. Allt från kaffemaskiner till kyl och frys innehåller någon form av elektronik och inbäddade system. Det huvudsakliga syftet med detta kanditatexamensarbete var att gräva djupare i hur dessa automatiserade produkter kan kontrolleras och mer specifikt i detta fall, en robotarm. Projektet handlade om att konstruera en robotarm som kunde styras och kontrolleras genom tre olika metoder i programmet MATLAB. Dessa tre har vi valt att kalla manuell kontroll, numerisk kontroll och neuralt nätverksbaserad kontroll. Prototypen tillverkades genom att montera sexservomotorer på 3D-utskrivna delar. Armen bestod av tre huvuddelar, en bas, en arm och en gripklo. Systemet styrdes av en Arduino mikrokontroll ansluten till en dator. Resultaten visar att den manuella kontrollmetoden var enkel att implementera, snabb samt var tillförlitlig. Den gav precis styrning av alla vinklar för varje servomotor, vilket också innebar att den gav god styrning av varje frihetsgrad. Den numeriska metoden, mer bestämt Newton Raphson’s metod, vidgade möjligheterna att kontrollera armen men var långsammare. Den tredje och sista lösningen var att använda ett neuralt nätverk, fuzzy logic. Detta visade sig vara ett kraftfullt sätt att styra roboten med låg latens. Det neurala nätverket visade sig dock vara opålitligt, men metoden visade stor potential för vidare utveckling och kan då prestera mycket bättre än de andra två metoderna. Slutsatsen var att det neurala nätverket var den generellt bästa metoden för att kontrollera och manövrera robotarmen via programmeringsprogrammet MATLAB.

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Polson, Kathryn. "Test-retest reliability and responsiveness of the shortened disability arm shoulder hand (QuickDASH) questionnaire a pilot study : a dissertation submitted to Auckland University of Technology in partial fulfilment of the requirements for the degree of Master of Health Science (MHSc), 2007 /". Abstract. Full dissertation, 2007.

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Dissertation (MHSc--Health Science) -- AUT University, 2007.
Primary supervisor: Duncan Reid. Includes bibliographical references. Also held in print (ix, 60 leaves ; 30 cm.) in North Shore Campus Theses Collection (T 615.82 POL)

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BATOR, CHRISTOFFER, e RICKARD SVENSSON. "Exoskeleton arm : How to construct a smart support structure for an arm". Thesis, KTH, Mekatronik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190843.

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The purpose of this thesis was to find an optimal way to construct and control a product that could help those who suffer from muscle weakness or a muscle sickness. The device was made out of two major parts (upper arm and lower arm) which were connected through a motorized joint. The focus was on finding a satisfying construction that could handle the forces and with the help of sensors measure movement of the users arm relative to the construction and then control it using that information. The device needed to be fast and reliable and react to small movements to be as comfortable for the user as possible. The result was a construction controlled by measuring the forces from the user’s movement with the use of force sensors placed at the wrist. The construction managed to follow the users’ arm, fast and in a satisfactory way.
Tanken med detta arbete var att hitta ett optimalt sätt att konstruera en produkt som skulle hjälpa de som lider av muskel -svaghet och -sjukdom. Produkten skulle bestå av två större delar (överarmen och underarmen) som var sammanlänkade med en motoriserad led. Fokusen låg på att hitta en tillfredställande konstruktion som kunde hantera krafterna och med hjälp av sensorer kunna mäta avståndet och rörelsen på användarens arm och förflytta konstruktionen utifrån det. Produkten behövde vara snabb, pålitlig och reagera på små rörelser för att vara så bekväm för användaren som möjligt. Resultatet blev en konstruktion som styrs genom att mäta tryckkraften, när användaren flyttar armen, med hjälp av trycksensorer som placeras vid handleden. Konstruktionen lyckades följa användarens arm, snabbt och på ett tillfredställande sätt.

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Fillis, Alicia Jo-Anne. "Gesinsveerkragtigheid by arm enkelouergesinne". Thesis, Stellenbosch : University of Stellenbosch, 2005. http://hdl.handle.net/10019.1/1555.

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Thesis (MSc (Psychology))--University of Stellenbosch, 2005.
Family resilience focuses on the salutegenic properties of families and refers to the ability of families to return to normal family functioning after experiencing adversity. The primary aim of this study was to identify factors that contribute to resilience in poor single parent families.

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Più fonti

Libri sul tema "Arm"

Owen, David. South Arm. Sydney: Picador, 1995.

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Kargman, Jill. Arm Candy. New York: Penguin USA, Inc., 2010.

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Kargman, Jill. Arm candy. New York: Dutton, 2010.

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Vyver, Braam Van der. Stywe arm. Kaapstad: Human & Rousseau, 1994.

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Leigh, Jo. Arm candy. Toronto: Harlequin, 2004.

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May, Julian. Orion arm. New York: Ballantine Pub. Group, 1999.

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Kargman, Jill. Arm candy. New York: Dutton, 2010.

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Kargman, Jill. Arm candy. New York: Dutton, 2010.

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Istendael, Geert van. Arm Brussel. Amsterdam: Atlas, 1992.

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Brosman, Catharine Savage. Arm in Arm: Poems. Mercer University Press, 2022.

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Capitoli di libri sul tema "Arm"

Gray, Kaylin C., e Mardell J. Moore. "Arm in Arm". In Covid-19, the Lgbtqia+ Community, and Public Policy, 200–221. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003270713-19.

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Weigel, B., e R. Baumgartner. "Arm". In Praxisbuch Unfallchirurgie, 303–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-10789-4_6.

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Lippert, Herbert. "Arm". In Anatomie am Lebenden, 264–316. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-00661-0_8.

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Weik, Martin H. "arm". In Computer Science and Communications Dictionary, 63. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_837.

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Beckers, Dominiek, e Math Buck. "Arm". In Rehabilitation und Prävention, 30–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-22306-2_3.

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Lippert, Herbert. "Arm". In Anatomie am Krankenbett, 237–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-48408-7_8.

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Martinoli, Carlo, e Stefano Bianchi. "Arm". In Medical Radiology, 333–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-28163-4_7.

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Perry, Jacquelin, e Judith M. Burnfield. "Arm". In Gait Analysis, 131–35. 2^a ed. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003525592-10.

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Gentili, Giuliano, e Mario Di Napoli. "Wrist – Arm, Axilla; Palm, Wrist – Arm; Digit II – Arm". In The Median Nerve, 221–25. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10476-8_31.

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Seidenbusch, Michael, Veronika Rösenberger e Karl Schneider. "Upper Arm". In Imaging Practice and Radiation Protection in Pediatric Radiology, 809–31. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18504-6_22.

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Atti di convegni sul tema "Arm"

Yu, Linzhu, Dawei Jiang, Ke Chen e Lidan Shou. "Arm". In SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3477495.3531664.

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Kefauver, W. Neill, e Dejan S. Filipovic. "Even-arm modulated arm width spiral properties". In 2018 International Applied Computational Electromagnetics Society Symposium (ACES). IEEE, 2018. http://dx.doi.org/10.23919/ropaces.2018.8364107.

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Amitkumar, R. Pharande, P. Shinde Rohit, S. Shedge Suraj e D. S. Aldar. "Hydraulic Robot Arm Controlled by Human Arm". In 2014 Texas Instruments India Educators' Conference (TIIEC). IEEE, 2014. http://dx.doi.org/10.1109/tiiec.2014.034.

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Hoshino, Kiyoshi, Motomasa Tomida e Emi Tamaki. "Copycat Arm". In ACM SIGGRAPH 2008 new tech demos. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1401615.1401626.

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Elias, Glêdson, Michael Schuenck, Yuri Negócio, Jorge Dias e Sindolfo Miranda Filho. "X-ARM". In the 2006 ACM symposium. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1141277.1141676.

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Han, Ping-Hsuan, Kuan-Wen Chen, Chen-Hsin Hsieh, Yu-Jie Huang e Yi-Ping Hung. "AR-Arm". In AH '16: Augmented Human International Conference 2016. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2875194.2875237.

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McCullough, Morgan, Hong Xu, Joel Michelson, Matthew Jackoski, Wyatt Pease, William Cobb, William Kalescky, Joshua Ladd e Betsy Williams. "Myo arm". In SAP '15: ACM Symposium on Applied Perception 2015. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2804408.2804416.

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Céspedes-Hernández, David, Jorge Luis Pérez-Medina, Juan Manuel González-Calleros, Francisco J. Álvarez Rodríguez e Jaime Muñoz-Arteaga. "SEGA-ARM". In Interacción '15: XVI International Conference on Human Computer Interaction. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2829875.2829877.

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Dall, Christoffer, e Jason Nieh. "KVM/ARM". In ASPLOS '14: Architectural Support for Programming Languages and Operating Systems. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2541940.2541946.

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Jha, Pooja, Kinjal Savla e Dishant Shah. "Exoskeleton Arm". In 2018 International Conference on Smart City and Emerging Technology (ICSCET). IEEE, 2018. http://dx.doi.org/10.1109/icscet.2018.8537273.

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Rapporti di organizzazioni sul tema "Arm"

MacDonald, G. J., M. A. Ruderman e S. B. Treiman. Letter report: Ari Patrinos -- ARM summary. Office of Scientific and Technical Information (OSTI), luglio 1995. http://dx.doi.org/10.2172/564157.

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Biraud, S. C., M. S. Tom e C. Sweeney. ARM Airborne Carbon Measurements (ARM-ACME) and ARM-ACME 2.5 Final Campaign Reports. Office of Scientific and Technical Information (OSTI), gennaio 2016. http://dx.doi.org/10.2172/1236602.

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McFarlane, Sally, Shaima Nasiri, Rick Petty, Nicki Hickmon, Rob Wood, Guang Zhang, Mike Jensen et al. Atmospheric Radiation Measurement (ARM) User Facility: ARM Mobile Facility Workshop Report. Office of Scientific and Technical Information (OSTI), aprile 2019. http://dx.doi.org/10.2172/1510259.

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Plummer, Jean, William Wells e Rick Minichan. Robotic arm development platform. Office of Scientific and Technical Information (OSTI), settembre 2018. http://dx.doi.org/10.2172/1475284.

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Sparks, Valerie, Frederick M. Helsel, Daniel A. Lucero e Darielle Dexheimer. ARM/NSA Monthly Report. Office of Scientific and Technical Information (OSTI), novembre 2016. http://dx.doi.org/10.2172/1331868.

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Adams, Bryan. Learning Humanoid Arm Gestures. Fort Belvoir, VA: Defense Technical Information Center, gennaio 2005. http://dx.doi.org/10.21236/ada434138.

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Mather, James, Stephen Springston e Connor Flynn. ARM Aerosol Measurement Plan. Office of Scientific and Technical Information (OSTI), maggio 2018. http://dx.doi.org/10.2172/1437623.

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Pritchard, Howard Porter Jr. LANL ARM Benchmarking Efforts. Office of Scientific and Technical Information (OSTI), aprile 2019. http://dx.doi.org/10.2172/1505954.

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Pritchard, Howard Porter Jr. LANL ARM Benchmarking Efforts. Office of Scientific and Technical Information (OSTI), luglio 2019. http://dx.doi.org/10.2172/1544639.

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Roeder, LR. ARM User Survey Report. Office of Scientific and Technical Information (OSTI), giugno 2010. http://dx.doi.org/10.2172/982203.

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