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Статті в журналах з теми "A-ARM"

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Sreedhar, M., S. Sai Mani Shekar, and K. Aditya Vardhan S. Vaibhav Krishna. "A Review on Bionic Arm." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 1032–38. http://dx.doi.org/10.31142/ijtsrd23221.

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Tetteh, Joshua, Nancy Darkoa Darko, Chrissie Stansie Abaidoo, and Thomas Diby. "Height Estimation using Arm Span as a Proxy among Ghanaians." International Journal of Anatomy and Research 9, no. 2.2 (May 11, 2021): 7984–90. http://dx.doi.org/10.16965/ijar.2021.120.

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Height is an important anthropometric tool and most popular characteristic parameter employed in human identification. However, body height cannot always be ascertained by direct measurement due to various deformities of the extremities in patients with injuries. There is accumulating evidence to demonstrate the use of arm span measurements in the estimation of height but there is very little information on the use of arm span measurements in Ghana. Therefore, this study sought to determine the relationship between height, arm span and sex as well as the correlational efficiency of using arm span as a surrogate for height. This cross-sectional study recruited 716 participants [328 males and 388 females] aged 18 to 30 years. Ethical approval and informed participant consent were sought. Male participants were taller and had wider arm span than the females with a statistically significant value [p < 0.001]. The results also showed that, the mean arm span measurement was higher than the mean height measurement with values of males [arm span: 180.57 cm; height: 170.79 cm] and females [arm span: 168.60 cm; height: 161.19 cm]. There was a statistically significant strong positive correlation [p < 0.001] between the arm span and height in the male, female and pooled sample with “r” values of 0.815, 0.788 and 0.873 respectively. Sex-specific equations to predict height from arm span measurements among Ghanaians were established. This study has developed sex specific equations to predict height from arm span measurements and has proved that arm span can effectively predict height using regression equations. KEY WORDS: Height, Arm Span, Ghana, Identification, Forensic, Anthropometry.
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Yasar, Yasar, S. A, Korkut Korkut, and I. I. "DESIGN AND KINEMATIC ANALYSIS OF A RRPR ROBOT ARM." International Journal of Innovative Research in Engineering & Management 3, no. 6 (November 17, 2016): 490–93. http://dx.doi.org/10.21276/ijirem.2016.3.6.7.

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Dharmana,, Meher Madhu, Sai Shashidhar,, Sachin Kumar,, and Chaithanya . "Embedded ANFIS as a Supervisory Controller for a 6-DOF Robotic Arm." International Journal of Engineering Research 3, no. 5 (May 1, 2014): 318–20. http://dx.doi.org/10.17950/ijer/v3s5/505.

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Hamed, Basil. "A Mimicking Human Arm with 5 DOF Controlled by LabVIEW." International Journal of Engineering and Technology 3, no. 1 (2011): 9–15. http://dx.doi.org/10.7763/ijet.2011.v3.192.

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Bousquet, A., S. Larréché, C. Elhadji Toumane, M. Dupin, J. Avignant, A. Mérens, and F. Maccari. "A “fat arm”." Médecine et Santé Tropicales 24, no. 3 (July 2014): 247–48. http://dx.doi.org/10.1684/mst.2014.0337.

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Raza, K., and P. King. "A flaccid arm." Postgraduate Medical Journal 73, no. 864 (October 1, 1997): 673–75. http://dx.doi.org/10.1136/pgmj.73.864.673.

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Abdelkader, BOUHAMZA. "Optimization of the Geometric Model Neuronal (BPNN) of a Polyarticulated Arm." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (March 31, 2020): 1137–46. http://dx.doi.org/10.5373/jardcs/v12sp4/20201587.

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Waingankar, Anuja Jayaram, and Dr P. C. Bhaskar. "A Review on Real Time Ethernet Communication For Robotic Arm Application." International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (December 31, 2017): 741–44. http://dx.doi.org/10.31142/ijtsrd7063.

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Sakaeda, Gen, Shintaro Kawasaki, Hiroyuki Ishii, Ryota Shibusawa, Noriyuki Matsuoka, Yusuke Nakae, Tamotsu Katayama, and Atsuo Takanishi. "Development of a 5-DoF Arm Robot for Neurological Examination Training." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2015.6 (2015): 219–20. http://dx.doi.org/10.1299/jsmeicam.2015.6.219.

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Дисертації з теми "A-ARM"

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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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Анотація:
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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BATOR, CHRISTOFFER, and 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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Hägg, Magnus. "Controlling a robotic arm using linux." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-7546.

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EDSTRÖM, JACOB, and JONATHAN GUNNARSSON. "Balancing arm for a Robotic Waiter." Thesis, KTH, Maskinkonstruktion (Inst.), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191211.

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This project focuses on balancing a drinking glass, to be able to transport it without the contents being spilled. It is designed with the aim of replacing a waiter in a restaurant or bar environment, but the technology itself could well be applied on mobile cup holders in cars or boats for instance. The core of the project is to study how and if it is possible to create a platform capable of balancing a drinking glass when exposed to different acceleration forces. This report describes one way of constructing this cup holder, with explanations of how the hardware has been designed and put together as well as how the software was written to make the components work together. The objective was to tilt the platform so that the acceleration resultant always was aligned with the z-axis of the sensor. The balancing part was divided in two separate systems, each controlling one rotation around two perpendicular axes. The rotation was controlled by two DCmotors, which counter forces that occur when the prototype is tilted and accelerated in different directions. To measure these movements, an IMU sensor containing both an accelerometer and a gyroscope was used. This sensor was placed in the center of rotation to increase sensor accuracy. To relate the input signal from the sensor to the output signal to the motors, a PIDcontroller was used. It was studied whether mathematical modelling or experimental testing provided the best method to determine the parameter values for this PID-controller. To test the performance, data about acceleration and relative angle to the acceleration resultant was gathered. This showed how high accelerations the system could handle, to evaluate if the system could be used in a restaurant or a bar environment. It also showed how much the platform was tilting in relation to the acceleration resultant, which determines if the liquid would stay in the glass. Additionally, a survey was created to gather opinions regarding robots in a restaurant or bar environment. The implementation is deemed possible and the survey showed that there is a great interest for this product. A clear majority answered that they would be attracted to a restaurant or a bar with robotic waiters. The study of three different ways to apply the derivative part of the PIDcontroller concludes that the use of the gyroscope was the best for this application, despite its inability to react on acceleration from linear motion. Experimental testing proved most time efficient to determine the parameter values for the PID-controller, but the non-linearized mathematical model of the system that is presented could well serve as a foundation to further improve this controller.
Detta projekt fokuserar på balanseringen av ett dryckesglas, för att kunna transportera detta utan att innehållet spills ut. Designen är främst tänkt för att ersätta en servitör i restaurangverksamhet, men teknologin kan väl appliceras till mobila dryckeshållare i exempelvis bilar och båtar. Kärnan i projektet är att studera hur och om det är möjligt att skapa en plattform som klarar av att balansera ett dryckesglas när den utsätts för olika accelerationskrafter. Denna rapport beskriver ett sätt att gå tillväga för att konstruera denna dryckeshållare, med förklaringar om hur hårdvaran har designats och satts ihop samt hur mjukvaran fått komponenterna att fungera tillsammans. Målet var att vrida plattformen så att accelerationsresultanten alltid var riktad längs sensorns z-axel. Balanseringen delades upp i två separata system som reglerar varsin rotation kring två vinkelräta axlar. Rotationen drivs av två DC-motorer, som motverkar de krafter som uppstår när testplattformen vinklas och accelererar i olika riktningar. För att mäta dessa röresler användes en IMU-sensor som innehöll både accelerometer och gyroskop. Sensorn var placerad i rotationscentrum för att öka precisionen i mätningarna. För att relatera insignalen från sensorn till utsignalen till motorerna användes en PID-kontroller. Det undersöktes om matematisk modellering eller experimentell testning gav den bästa metoden att bestämma parametrarvärdena till denna PID-kontroller. För att testa prestationsförmågan samlades accelerationsdata samt data om den relativa vinkeln till accelerationsresultanten. Detta visade hur höga accelerationer som systemet klarade att hantera, för att utvärdera om systemet kunde användas i en restaruang- eller barmiljö. Det visade även hur mycket plattformen lutade relativt accelerationsresultanten, vilket avgör om vätskan stannar i glaset. Till detta gjordes också en undersökning för att samla in åsikter om robotar i restaurang- eller barmiljö. Implementationen av denna robot bedöms möjlig och det finns ett intresse för en sådan produkt. En klar majoritet av de tillfrågade svarade att de skulle vara lockade till en restaurang eller bar med robotservitörer. Vid undersökningen av tre olika sätt att applicera den deriverande delen i PID-kontrollern drogs slutsatsen att användadet av gyroskopet var det som fungerade bäst i tillämpningen, trots att den inte kan ta hänsyn till acceleration från rätlinjig rörelse. Experimentell testning visade sig vara mest tidseffektivt för ta fram parametervärdena till PID-kontrollern, men den presenterade icke-lineariserade matematiska modellen av systemet kan väl utgöra en grund för att förbättra denna kontroller.
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Issa, Alan, and Christos Andreanidis. "Wireless Control of a Robotic Arm." Thesis, KTH, Mekatronik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295847.

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This paper looks at all aspects of developing a robotic arm and hand that consists of five fingers which is able to imitate human movements. The imitation ability, accuracy and factors affecting both points are studied. A project like this requires the interplay of various electrical components to achieve the desired results.The prototype constructed measured the controller’s movements of the fingers with the help of flex sensors. The movements in the elbow and wrist however were measured with the help of potentiometers. The flex sensors and potentiometers were connected to an Arduino Mega which then sent the values with the help of a transmitter. The robotic arm consists of an Arduino Uno, seven servomotors and a receiver that reads the messages sent from the transmitter. All values were converted into degrees that rotated the motor axles accordingly. The prototype produced positive results, showing that it was able to copy all movements done by the controller. Tests were conducted to study the accuracy and imitationability. The conclusion was that the factors affecting imitation and accuracy were mostly connected to the weight of the robot and the design of the hand.
Denna uppsats behandlar olika aspekter i utvecklingen av en robotarm vars gripdon är en hand med fem fingrar, med syfte att kunna imitera mänskliga rörelser. Imitationsförmågan, noggrannheten samt vilka faktorer som påverkar dessa studeras. För att uppnå ett önskvärt resultat har det krävts styrning och samverkan mellan olika elektroniska komponenter. I prototypen som presenteras mättes fingrarnas rörelsemed hjälp av flexsensorer samt rörelsen i armbåge och handleden med hjälp av vridpotentiometrar. Flexsensorerna och potentiometrarna var anslutna till en Arduino Mega vars värden skickades med hjälp av en sändare. Elektronikkomponenterna som användes i robotarmen var en ArduinoUno, sju servomotorer och en mottagare, vars funktion var att läsa av meddelanden som skickades från sändaren. Alla värden omvandlades till grader och motoraxlarna roterade i enlighet med dessa. Prototypen uppnådde ett önskvärt betteende då roboten hade förmågan att imitera alla rörelser som utfördes av styrenheten. Noggrannheten och imitationsförmågan undersöktes med olika tester. De mest betydelsefulla faktorer som påverkade imitationen och noggrannheten av prototypen var kopplade till vikten av roboten och designen av handen, enligt slutsatserna som har dragits.
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Leeb, Adam Paul. "Anthro Arm : the design of a seven degree of freedom arm with human attributes." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40458.

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Анотація:
Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2007.
Includes bibliographical references (leaf 24).
Studying biological systems has given robotics researchers valuable insight into designing complex systems. This thesis explores one such application of a biomimetic robotic system designed around a human arm. The design of an anthropomorphic arm, an arm that is similar to that of a human's, requires deep insight into the kinematics and physiology of the biological system. Investigated here is the design and completion of an arm with 7 degrees of freedom and human-like range of motion in each joint. The comparison of actuation schemes and the determination of proper kinematics enable the arm to be built at a low cost while maintaining high performance and similarity to the biological analog. Complex parts are built by dividing structures into interlocking 2d shapes that can easily be cut out using a waterjet and then welded together with high reliability. The resulting arm will become part of a bionic system when combined with an existing bionic hand platform that is being developed in the Intelligent Machines Laboratory at MIT. With a well thought out modular design, the system will be used as a test bed for future research involving data simplification and neurological control. The completion of the anthropomorphic arm reveals that is indeed feasible to use simple DC motors and quick fabrication techniques. The final result is a reliable, modularized, and anthropomorphic arm.
by Adam Paul Leeb.
S.B.
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Bersvendsen, Jørn. "Control of a multifunction Arm Prosthesis Model." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-14176.

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In this thesis a working control system for a 7 degrees of freedom hand prosthesis model controlled by electromyographic and accelerometer signals has been developed.The complete system consists of a wireless EMG and accelerometer measurement system, two National Instruments data acquisition modules, a desktop computer, a Lego Mindstorms NXT brick and a hand model with 7 motorized degrees of freedom.The controller is based on pattern recognition and signal classification.Several different EMG features for this purpose are presented and implemented.Two different linear classifiers were used and their performance studied.The LabVIEW software platform was used for both the computer and the NXT.The developed software has a modular design, facilitating future development and extension.Its design and implementation are presented and discussed.
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Jassemi-Zargani, Rahim. "Impedance control of a dual-arm robot." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq28348.pdf.

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Shiek, David. "From coast guards to a strategic arm." Thesis, King's College London (University of London), 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.416120.

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Anders, Ariel (Ariel Sharone). "Learning a strategy for whole-arm grasping." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91034.

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Анотація:
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
23
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 69-71).
Traditionally, robot grasping has been approached in two separate phases: first, finding contact positions that yield optimal grasps and, then, moving the robot hand to these positions. This approach works well when the object's location is known exactly and the robot's control is perfect. However, in the presence of uncertainty, this approach often leads to failure, usually because the robot's gripper contacts the object and causes the object to move away from the grasp. To obtain reliable grasping in the presence of uncertainty, the robot needs to anticipate the possible motions of the object during grasping. Our approach is to compute a policy that specifies the robot's motions over a range of joint states of the object and gripper, taking into account the expected motion of the object when pushed by the gripper. We use methods from continuous-state reinforcement-learning to solve for these policies. We test our approach on the problem of whole-arm grasping for a PR2, where one or both arms, as well as the torso can all serve to create contacts.
by Ariel Anders.
S.M.
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Книги з теми "A-ARM"

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Arm and a leg. London: Heinemann, 1998.

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Christopher, Matt. Catcher with a glass arm. Boston: Little, Brown, 1985.

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3

ill, Caddell Foster, ed. Catcher with a glass arm. Boston: Little, Brown, 1985.

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4

House, Tom. Arm action, arm path, and the perfect pitch: Building a million-dollar arm. Monterey, CA: Coaches Choice, 2008.

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House, Tom. Arm action, arm path, and the perfect pitch: Building a million-dollar arm. Monterey, CA: Coaches Choice, 2008.

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House, Tom. Arm action, arm path, and the perfect pitch: Building a million-dollar arm. Monterey, CA: Coaches Choice, 2008.

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7

House, Tom. Arm action, arm path, and the perfect pitch: Building a million-dollar arm. Monterey, CA: Coaches Choice, 2008.

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House, Tom. Arm action, arm path, and the perfect pitch: Building a million-dollar arm. Monterey, CA: Coaches Choice, 2008.

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9

House, Tom. Arm action, arm path, and the perfect pitch: Building a million-dollar arm. Monterey, CA: Coaches Choice, 2008.

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10

House, Tom. Arm action, arm path, and the perfect pitch: Building a million-dollar arm. Monterey, CA: Coaches Choice, 2008.

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Частини книг з теми "A-ARM"

1

Rollins, Mark. "Designing a Robot Arm." In LEGO Technic Robotics, 97–136. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4981-8_4.

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Shamil, Eamon, Praful Ravi, and Ashish Chandra. "A Painful Arm and a Large Spleen." In 100 Cases in Clinical Pathology and Laboratory Medicine, 175–77. 2nd ed. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003242697-67.

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Poulton, A. S., P. J. Kyberd, and D. Gow. "Progress of a Modular Prosthetic Arm." In Universal Access and Assistive Technology, 193–200. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-3719-1_19.

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Ramon, Manoel Carlos. "Assembling and Controlling a Robotic Arm." In Intel® Galileo and Intel® Galileo Gen 2, 509–77. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6838-3_11.

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Patel, Mukesh J., and Marco Dorigo. "Adaptive learning of a robot arm." In Evolutionary Computing, 180–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58483-8_14.

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Proaño-Guevara, Daniel, Javier Procel-Feijóo, Johnny Zhingre-Balcazar, and Luis Serpa-Andrade. "Biomimetical Arm Prosthesis: A New Proposal." In Advances in Intelligent Systems and Computing, 549–58. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60483-1_57.

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Keating, Steven, Nathan A. Spielberg, John Klein, and Neri Oxman. "A Compound Arm Approach to Digital Construction." In Robotic Fabrication in Architecture, Art and Design 2014, 99–110. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04663-1_7.

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Lyngby, Rasmus Ahrenkiel, Jannik Boll Matthiassen, Jeppe Revall Frisvad, Anders Bjorholm Dahl, and Henrik Aanæs. "Using a Robotic Arm for Measuring BRDFs." In Image Analysis, 184–96. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20205-7_16.

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Crowder, R. M. "A whole arm manipulator for hazardous environments." In New Frontiers in Manufacturing, 143–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-662-12593-9_15.

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Kavitha, A., P. Sangeetha, Aijaz Ali Khan, and K. N. Chandana. "A Novel Implementation of Haptic Robotic Arm." In Evolutionary Computing and Mobile Sustainable Networks, 51–59. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5258-8_6.

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Тези доповідей конференцій з теми "A-ARM"

1

Mehta, Yash Dhanpal, Rohit Ashok Khot, Rakesh Patibanda, and Florian 'Floyd' Mueller. "Arm-A-Dine." In CHI PLAY '18: The annual symposium on Computer-Human Interaction in Play. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3242671.3242710.

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Higuchi, Mineo, and Tsukasa Ogasawara. "Development of a human symbiotic assist arm PAS-Arm." In the Community (ICORR). IEEE, 2009. http://dx.doi.org/10.1109/icorr.2009.5209600.

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3

Franchi, Giulia, Ulrich Viereck, Robert Platt, Sheng-Che Yen, and Christopher J. Hasson. "An arm for a leg: Adapting a robotic arm for gait rehabilitation." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7319253.

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Li, Juncheng, Xieping Gu, Qian Liu, Haoyu Sun, Wanjun Cen, Ziheng Huang, Yun Zhang, and Zhifeng Huang. "Force Feedback Algorithm for Robot Arm to Bandage A Swaying Arm." In 2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM). IEEE, 2020. http://dx.doi.org/10.1109/icarm49381.2020.9195393.

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5

Yang, Hua, Yuqi Yan, Shilin Su, Zhuqing Dong, and Syed Haseeb Ul Hassan. "LWH-Arm: A Prototype of 8-DoF Lightweight Humanoid Robot Arm." In 2019 3rd International Conference on Robotics and Automation Sciences (ICRAS). IEEE, 2019. http://dx.doi.org/10.1109/icras.2019.8809073.

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Allred, Timothy, Larry L. Howell, Spencer P. Magleby, and Robert H. Todd. "The Compliant A-Arm Suspension." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-43259.

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Анотація:
The use compliant mechanisms in a suspension system has been demonstrated with leaf spring mechanisms. In this research a novel compliant configuration called the Compliant A-Arm (C-A-Arm) suspension is selected for in-depth study. Closed-from equations are derived for linear small-deflection stiffness equations. Large deflections are analyzed using finite element analysis. A pseudo-rigid-body model is developed to approximate mechanism deflections and stiffness for large deflections. The results suggest that the C-A-Arm configuration may be a viable suspension alternative for future commercial application. In addition, this configuration offers a number of performance variables that could be the basis for an active control system. This paper represents a necessary first step in modeling this new configuration.
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Belingardi, Giovanni, Andrea Bernasconi, Marcello Chessari, Silvia Maccarinelli, Giampiero Mastinu, Giorgio Previati, Alessandro Scattina, and Erico Spini. "A McPherson Lightweight Suspension Arm." In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2020. http://dx.doi.org/10.4271/2020-01-0772.

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Nandan, N., and K. Thippeswamy. "A Tensorflow Based Robotic Arm." In 2018 Third International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT). IEEE, 2018. http://dx.doi.org/10.1109/iceeccot43722.2018.9001524.

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Nakano, H., K. Nakayama, H. Mimaki, I. Yamauchi, and K. Hirose. "A single-arm spiral antenna." In 1992 Symposium on Antenna Technology and Applied Electromagnetics. IEEE, 1992. http://dx.doi.org/10.1109/antem.1992.7854278.

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Mao, Ying, and Sunil K. Agrawal. "Transition from mechanical arm to human arm with CAREX: A cable driven ARm EXoskeleton (CAREX) for neural rehabilitation." In 2012 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2012. http://dx.doi.org/10.1109/icra.2012.6224906.

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Звіти організацій з теми "A-ARM"

1

Connell, Jonathan H. A Behavior-Based Arm Controller. Fort Belvoir, VA: Defense Technical Information Center, June 1988. http://dx.doi.org/10.21236/ada200666.

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2

Hong, Gihoon, and John McLaren. Are Immigrants a Shot in the Arm for the Local Economy? Cambridge, MA: National Bureau of Economic Research, April 2015. http://dx.doi.org/10.3386/w21123.

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3

Hnilo, J. A Comparison of Model Short-Range Forecasts and the ARM Microbase Data Fourth Quarter ARM Science Metric. Office of Scientific and Technical Information (OSTI), September 2006. http://dx.doi.org/10.2172/948099.

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4

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.

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Boucher, T. D. Riser configuration, Tank 241-A-105, light duty utility arm. Office of Scientific and Technical Information (OSTI), September 1994. http://dx.doi.org/10.2172/10185202.

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Brown, R. A preliminary ARM (Atmospheric Radiation Measurements) guide for climatic evaluations. Office of Scientific and Technical Information (OSTI), March 1990. http://dx.doi.org/10.2172/6711381.

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Brown, R. M. A preliminary ocean ARM (Atmospheric Radiation Measurements) guide for climatic evaluations. Office of Scientific and Technical Information (OSTI), July 1990. http://dx.doi.org/10.2172/6447712.

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Qiang FU. Development and Testing of A Radiation Model for Interpreting ARM Data. Office of Scientific and Technical Information (OSTI), November 2004. http://dx.doi.org/10.2172/839572.

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Nonnecke, Gail, Sharon Tusiime, Leah Riesselman Worth, and Bernie Havlovic. Thornless Blackberry Cultivars Grown with a Rotatable Cross-Arm Trellis System. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/farmprogressreports-180814-1592.

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Nonnecke, Gail, Sharon Tusiime, Leah Riesselman Worth, and Bernie Havlovic. Thornless Blackberry Cultivars Grown with a Rotatable Cross-Arm Trellis System. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/farmprogressreports-180814-1616.

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