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Journal articles on the topic 'SCARA'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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1

Yu, Bowen, Chen Cheng, Yichun Wu, et al. "Interactions of ferritin with scavenger receptor class A members." Journal of Biological Chemistry 295, no. 46 (2020): 15727–41. http://dx.doi.org/10.1074/jbc.ra120.014690.

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Scavenger receptors are a superfamily of membrane-bound receptors that recognize both self and nonself targets. Scavenger receptor class A (SR-A) has five known members (SCARA1 to -5 or SR-A1 to -A5), which are type II transmembrane proteins that form homotrimers on the cell surface. SR-A members recognize various ligands and are involved in multiple biological pathways. Among them, SCARA5 can function as a ferritin receptor; however, the interaction between SCARA5 and ferritin has not been fully characterized. Here, we determine the crystal structures of the C-terminal scavenger receptor cyst

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2

MAYUB, AFRIZAL, IVAN SYAHRONI, FAHMIZAL FAHMIZAL, and MUHAMMAD ARROFIQ. "Kinematika dan Antarmuka Robot SCARA Serpent." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 8, no. 3 (2020): 561. http://dx.doi.org/10.26760/elkomika.v8i3.561.

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ABSTRAKPenelitian ini menyajikan kendali pergerakan posisi dari robot SCARA Serpent menggunakan persamaan kinematika dan antarmuka berbasis Processing IDE. Antarmuka bertujuan untuk memudahkan dalam pengendalian robot SCARA Serpent dan mendapatkan data koordinat objek. Data ini digunakan sebagai masukan persamaan kinematika balik untuk menentukan besar sudut tiap joint. Untuk mendapatkan hasil pergerakan robot SCARA Serpent yang baik, kendali Proporsional, Integral, Differensial (PID) diterapkan dalam mengendalikan posisi setiap joint-nya. Pada pengujian, robot SCARA Serpent diuiji dengan tiga

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3

Makino, Hiroshi. "Development of the SCARA." Journal of Robotics and Mechatronics 26, no. 1 (2014): 5–8. http://dx.doi.org/10.20965/jrm.2014.p0005.

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The Selective Compliance Assembly Robot Arm, or SCARA, is an industrial robot typical of those widely used in assembly processes. It was invented by Professor Makino of the University of Yamanashi, Japan, the author of this report, and developed by him in collaboration with his colleagues and industrial partners. The first prototype of the SCARA robot was built in 1978. Fundamental studies were done on the characteristics and usability of this prototype and the second one, built in 1980. In 1981, some industrial partners began to market their own versions of the SCARA. These models were called

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4

Shi, Lei, Yi Chun Jiang, and Zhong Quan Jing. "A Kinematic Simulation Environment for a 4-DOF SCARA Robot." Advanced Materials Research 338 (September 2011): 766–69. http://dx.doi.org/10.4028/www.scientific.net/amr.338.766.

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Kinematic simulation for robot is on of the important research. In this paper, 3D model of SCARA robot is build in Pro/E. And then a method of transferring Scara models in Pro/E to MATLAB is carried out . In addition , Typical D-H method is applied to set up the kinematics model of SCARA robot in this paper . Forward and inverse kinematic is computed for satisfied the need of position and posture of the SCARA robot . The results of the kinematic simulation shows the validity and facilities of the programs .

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5

Yamafuji, Kazuo. "Development of SCARA Robots." Journal of Robotics and Mechatronics 31, no. 1 (2019): 10–15. http://dx.doi.org/10.20965/jrm.2019.p0010.

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The presentation on SIGMA robot for assembly by A. d’Auria at the 7th International Symposium on Industrial Robots (ISIR) held in Tokyo in October 1977 made an immense impact on engineers studying assembly automation in Japan. The 1970s witnessed the shift from the mass production of a few types to limited production of a wide variety of products in Japan, and research started for a production system with a quick response to a given type of products and change in a quantity of production. Professor Hiroshi Makino of Yamanashi University was stimulated by SIGMA and got an idea for a robot with

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6

Fang, Jian. "Dynamic Model of SCARA Robot." Applied Mechanics and Materials 442 (October 2013): 476–79. http://dx.doi.org/10.4028/www.scientific.net/amm.442.476.

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Design a robot system, it is the key technique to make kinematic analysis and build dynamic model based on the robot. This paper mainly provided introduction of the products dynamic model of four degree of freedoms SCARA robot which based on Kinematics analysis .The paper has certain reference value for actual application study the system with the same type.

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7

Beiner, Leon. "Singularity avoidance for SCARA robots." Robotics and Autonomous Systems 10, no. 1 (1992): 63–69. http://dx.doi.org/10.1016/0921-8890(92)90015-q.

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8

Verma, Varnita, A. Gupta, M. K. Gupta, and P. Chauhan. "Performance estimation of computed torque control for surgical robot application." Journal of Mechanical Engineering and Sciences 14, no. 3 (2020): 7017–28. http://dx.doi.org/10.15282/jmes.14.3.2020.04.0549.

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In the current paradigm, the development in robotic technology has a huge impact to revolutionize the medical domain. Surgical robots have greater advantages over surgeon such as reduced operating time, reduced tremor, less blood loss, and high dexterity. To perform different operations during surgery a base robot is required with the task-specific end effector. In this paper, the selective compliant assembly robot arm (SCARA) has been considered as the base robot and the complete mathematical modeling of the robot is illustrated. The equation of Kinematics is derived from the D-H notation. SC

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9

Yamazaki, Yasunori. "Development and Applications of the SCARA Robot." Journal of Robotics and Mechatronics 26, no. 2 (2014): 127–33. http://dx.doi.org/10.20965/jrm.2014.p0127.

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In the 1980s, when the author worked for Seiko Epson Corporation as a wristwatch production engineer, consumer needs had become so diversified that wristwatches had to be assembled on the same automated assembly line in small lots of about 10,000 pieces per month. Most of the robots available in those days were for processing purposes such as spot welding and were not applicable in practical terms to automated assembly lines for wristwatches in precision, speed, ease of use or cost. The prototype SCARA robot developed by the SCARA Study Group led by Dr. Hiroshi Makino, a professor at the Depar

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10

Yau, Chin Horng, Wen Ren Jong, and H. H. Wang. "Design and Analysis of SCARA Substrate Transfer Robot for Semiconductor and FPD Processing Cluster Tools." Materials Science Forum 505-507 (January 2006): 331–36. http://dx.doi.org/10.4028/www.scientific.net/msf.505-507.331.

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The design criteria and dynamic analysis of SCARA substrate transfer robot for cluster tools have been investigated in this paper. The design criteria for SCARA robot to meet the application of semiconductor and flat panel display processing have been verified. The dynamic equations of decomposed modules of SCARA substrate transfer robot, such as arm module, friction module, servomotor module, harmonic drive module and belt module are formulated by Lagrange’s method respectively. Then, the dynamic equations are all built and simulated with MATLAB software. In addition, the elasticity character

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11

Peter, Marcinko, and Juruš Ondrej. "AN EXPERIMENTAL WORKPLACE WITH SCARA ROBOT." TECHNICAL SCIENCES AND TECHNOLOGIES, no. 4 (14) (2018): 216–22. http://dx.doi.org/10.25140/2411-5363-2018-4(14)-216-222.

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Urgency of the research. Interest in this subject is aroused because, in the available sources, this kinematic structure is the least documented, even though it is required in certain applications (fast assembly of small parts,...). Target setting. The main goal was to design a workplace with a Scara robot. This workplace is used by the student to verify their theoretical knowledge gained from lectures in practice. They can try programming the robot, but also work with the camera system. Actual scientific researches and issues analysis. In 1961, (USA) the first industrial robot Unimate was put

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12

Makino, Hiroshi, Akitaka Kato, and Yasunori Yamazaki. "Research and Commercialization of SCARA Robot." Journal of the Robotics Society of Japan 23, no. 2 (2005): 148–54. http://dx.doi.org/10.7210/jrsj.23.148.

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13

Baláž, Vladimír. "Palette - Assembly Cell with Robot SCARA." Applied Mechanics and Materials 613 (August 2014): 292–98. http://dx.doi.org/10.4028/www.scientific.net/amm.613.292.

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The article describes a basic structure of handling operations for palletization. Also contains a ways to organize objects on pallets and determination of programmable palletizing points. It explains the principle of modular structures with designed workstation.

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14

Makino, Hiroshi. "Development of the Spherical SCARA Robot." Journal of Robotics and Mechatronics 1, no. 3 (1989): 251–52. http://dx.doi.org/10.20965/jrm.1989.p0251.

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15

Ibrahim, B. S. K. K., and Ahmed M. A. Zargoun. "Modelling and Control of SCARA Manipulator." Procedia Computer Science 42 (2014): 106–13. http://dx.doi.org/10.1016/j.procs.2014.11.040.

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16

Hanqi Zhuang, Wen-Chiang Wu, and Z. S. Roth. "Camera assisted calibration of SCARA arms." IEEE Robotics & Automation Magazine 3, no. 4 (1996): 46–53. http://dx.doi.org/10.1109/100.556482.

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17

Padhy, Sisir K. "On the dynamics of SCARA robot." Robotics and Autonomous Systems 10, no. 1 (1992): 71–78. http://dx.doi.org/10.1016/0921-8890(92)90016-r.

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18

Schulz, Doris, and Manfred Hermanns. "Scara-Manipulator reinigt Motor- und Getriebeteile." JOT Journal für Oberflächentechnik 56, no. 9 (2016): 80–81. http://dx.doi.org/10.1007/s35144-016-0225-1.

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19

Stadlbauer, Klaus, and Hartmut Bremer. "Autonomer Mobiler Roboter mit Scara-Armeinheit." PAMM 6, no. 1 (2006): 109–10. http://dx.doi.org/10.1002/pamm.200610035.

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20

Alb, Dan. "„Scara lui Iacob“ și rostirea scenică." Cercetări teatrale 2, no. 1 (2021): 65–73. http://dx.doi.org/10.46522/ct.2021.01.03.

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21

Bussola, Roberto, Giovanni Legnani, Massimo Callegari, Giacomo Palmieri, and Matteo-Claudio Palpacelli. "Simulation Assessment of the Performance of a Redundant SCARA." Robotics 8, no. 2 (2019): 45. http://dx.doi.org/10.3390/robotics8020045.

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The present paper analyses the potential dynamic performance of a novel redundant SCARA robot, currently at the stage of a functional design proposed by a renowned robot manufacturer. The static and dynamic manipulability of the new concept is compared with the conventional model of the same manufacturer by means of computer simulation in typical pick and place tasks arising from industry. The introduction of a further revolute joint in the SCARA robot kinematics leads to some improvements in the kinematic and dynamic behaviour at the expense of a greater complexity. In this paper, the potenti

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22

Zhang, C., G. Zhao, Y. Xiao, and X. Yang. "Decoupling Robust Control of Three-Link Direct Drive Robot Arm." Advanced Materials Research 443-444 (January 2012): 258–66. http://dx.doi.org/10.4028/www.scientific.net/amr.443-444.258.

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This paper introduces the mechanical structure of a three-link direct drive SCARA for wafer handling application. The dynamic modeling of the presented SCARA is derived and the coupling effect of the system is studied. A decoupling method based on computed torque control is employed in the implementation. Robust control is applied to design the SISO controllers after the system is decoupled. The experimental test results demonstrate satisfying dynamic, settling and static performances by utilizing the decoupling robust control.

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23

Yuan, Jing. "Local SVD inverse of robot Jacobians." Robotica 19, no. 1 (2001): 79–86. http://dx.doi.org/10.1017/s0263574700002769.

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This study presents a fast inverse kinematics algorithm for a class of robots, including PUMA and SCARA. It decomposes a robot Jacobian into a product of sub-matrices to locate singularities. Singular value decomposition (SVD) is applied to each singular sub-matrix to find a local least-squares inverse. Perfect inverses are derived for all non-singular sub-matrices. The proposed algorithm is extremely fast. A total inverse requires 54 flops for PUMA and 43 for SCARA. Simulation and experiment are conducted to test the accuracy and real-time speed of the algorithm.

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24

Mao, Hank, Lawrence Peng, Zigui Liu, Yongkang Zhen, and Murad Kurwa. "Robots collaboration for wearable products lifetime testing." Industrial Robot: An International Journal 43, no. 5 (2016): 573–76. http://dx.doi.org/10.1108/ir-01-2016-0043.

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Purpose The purpose of this paper is to find a practical and effective way to test wearing product lifetime with two SCARA robots. Design/methodology/approach The paper designs a mathematical model to simulate human motion, calculate the coordinate trajectory, then implement with two SCARA robots. Findings The two-robot testing platform for wrist band is an effective and precise simulation method and is feasible to deploy in mass production. Originality/value The paper introduces a way for apply robots in wearing product lifetime testing which is novel, practical and effective.

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25

Ting, K. C., G. A. Giacomelli, and W. J. Roberts. "SCARA ROBOT WORK CELL FOR SEEDLING TRANSPLANTING." Acta Horticulturae, no. 230 (September 1988): 221–28. http://dx.doi.org/10.17660/actahortic.1988.230.27.

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26

Miyagawa, Toyomi, Kohei Hori, Yukihisa Hasegawa, Koichi Suzumori, and Hajime Sudo. "Micro SCARA Robot for Miniature Parts Assembling." Journal of Robotics and Mechatronics 9, no. 5 (1997): 341–47. http://dx.doi.org/10.20965/jrm.1997.p0341.

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In this report, application of newly developed ultra-small servo actuators to a micro SCARA robot is presented. An ultra-small servo actuator consists of a miniature brushless DC motor, a reduction gear, and an optical encoder for monitoring the rotation of the motor. Two prototypes of different sizes were developed: one is 3mm in diameter and 10mm in length, and the other is 5mm in diameter and 18mm in length. Including the vertical positioning of the hand the robot has three degrees of freedom. First, the structure of the ultra-small servo actuator is shown and then the output characteristic

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27

Tsuneta, Haruhiro. "Development of robots for selling. SCARA Robot." Journal of the Robotics Society of Japan 13, no. 6 (1995): 772–75. http://dx.doi.org/10.7210/jrsj.13.772.

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28

Milutinovic, Dragan. "Universal compliant device based on SCARA concept." Robotics and Computer-Integrated Manufacturing 13, no. 4 (1997): 319–21. http://dx.doi.org/10.1016/s0736-5845(97)00011-2.

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29

Hamerlain, M., M. Belhocine, and K. Bouyoucef. "Sliding Mode Control for a Robot Scara." IFAC Proceedings Volumes 30, no. 12 (1997): 121–25. http://dx.doi.org/10.1016/s1474-6670(17)42775-3.

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30

IRIBE, Masatugu, and Masayuki NISHIO. "Robot technology education using SCARA type manipulator." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2020 (2020): 2P2—K09. http://dx.doi.org/10.1299/jsmermd.2020.2p2-k09.

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31

Indri, M., G. Calafiore, G. Legnani, F. Jatta, and A. Visioli. "OPTIMIZED DYNAMIC CALIBRATION OF A SCARA ROBOT." IFAC Proceedings Volumes 35, no. 1 (2002): 431–36. http://dx.doi.org/10.3182/20020721-6-es-1901.00884.

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32

Milutinović, Dragan, and Veljko Potkonjak. "A new concept of the SCARA robot." Robotics and Computer-Integrated Manufacturing 7, no. 3-4 (1990): 337–43. http://dx.doi.org/10.1016/0736-5845(90)90020-9.

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33

Manjunath, T. C., and Vaibhav Mesram. "IK equations & modeling for SCARA robots." Journal of Process Management. New Technologies 1, no. 2 (2013): 19–22. http://dx.doi.org/10.5937/jpmnt1302019m.

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34

FURUYA, Nobuyuki. "A study on the improvement of the SCARA robot motion - Measurement and simulation of the SCARA robot motion." Journal of the Japan Society for Precision Engineering 53, no. 4 (1987): 613–18. http://dx.doi.org/10.2493/jjspe.53.613.

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35

Lu, Guangqiang, Sadao Kawamura, and Mitunori Uemura. "Proposal of an Energy Saving Control Method for SCARA Robots." Journal of Robotics and Mechatronics 24, no. 1 (2012): 115–22. http://dx.doi.org/10.20965/jrm.2012.p0115.

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The energy-saving method for SCARA robots proposed in this paper utilizes elastic elements effectively in order to save energy for periodic motion. In other words, our method is based on resonance. Mechanically linearized robot dynamics with nondiagonal elastic-matrix elements are considered to save SCARA robot energy significantly. An adaptive elastic method and an adaptive viscosity compensation method are proposed. It is mathematically proven that robot motion controlled by the proposed method converges at the desired periodic motion and elasticity and viscosity parameters converge at ideal

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36

Ma, Guo Qing, Zheng Lin Yu, Guo Hua Cao, Yan Bin Zheng, and Li Liu. "The Kinematic Analysis and Trajectory Planning Study of High-Speed SCARA Robot Handling Operation." Applied Mechanics and Materials 687-691 (November 2014): 294–99. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.294.

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Successfully developed of high-speed SCARA robot provides the possibility for fast handling. After analyzed the mechanical structure of SCARA robot, the kinematics equations were built to analyze forward and inverse kinematics problems based on modified D-H coordinate system theory. The trajectory planning was achieved by using the cubic polynomial interpolation method in joint space over the path points combined with motion parameters, the kinematics and trajectory planning were simulated by using matlab simulation platform. Simulation results show that robot parameter design is reasonable an

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37

Zeng, Ling Sheng, Zi Qiang Zhang, Run Dian Li, Yong Jie Zhao, Qing Ge Kang, and Zhang Lin Chen. "On Adaptable Design for SCARA Manipulator with Quick-Replaceable Arms." Applied Mechanics and Materials 741 (March 2015): 45–49. http://dx.doi.org/10.4028/www.scientific.net/amm.741.45.

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By surveying SCARA manipulator in the market, the question that the overall length of arms is fixed, which leads its operating range to be relatively fixed, and the manipulator has badly adaptive can be found. Aiming at the problem, a SCARA manipulator whose arms can be replaced quickly had been designed according to the concept of adaptable design, and the principle of replacement arms had been put forward basing on the analysis to the minimum operating radius of manipulator in this paper. Moreover, an adaptable interface for replacing quickly different grippers during the process of producti

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38

MING, Aiguo, Tongzhuang ZHANG, Tadashi YAMAMOTO, Nobuyuki FURUYA, Makoto MURATA, and Hiroshi MAKINO. "Development of the Spherical SCARA Robot (2nd Report)." Journal of the Japan Society for Precision Engineering 55, no. 9 (1989): 1615–20. http://dx.doi.org/10.2493/jjspe.55.1615.

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39

Moreno Rojo, CÃ©sar, and Luz MarÃa PÃ¡ucar Menacho. "Influencia de la adiciÃ³n de harina de cÃ¡scara de mango (Mangifera indica L.), variedad Kent y Ã¡cido ascÃ³rbico sobre las caracterÃsticas tecnolÃ³gicas del pan de molde." INGnosis Revista de Investigación Científica 2, no. 2 (2016): 377–94. http://dx.doi.org/10.18050/ingnosis.v2i2.2008.

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Objetivo. Estudiar la influencia de la adiciÃ³n de harina de cÃ¡scara de mango (Mangifera Ãndica L.), variedad Kent y Ã¡cido ascÃ³rbico sobre las caracterÃsticas tecnolÃ³gicas del pan de molde. Materiales y mÃ©todo. Para las formulaciones se utilizÃ³ un delineamiento factorial completo 22, se evaluaron las caracterÃsticas fÃsico-quÃmicas (volumen especÃfico, proteÃnas, grasas, cenizas, humedad, color de corteza y miga del pan) y propiedades sensoriales (n=30 panelistas). Resultados. El Ã¡cido ascÃ³rbico no presenta influencia estadÃsticamente significativa, mientras que al adicionar ha

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40

ElMaraghy, H. A., and B. Johns. "An Investigation Into the Compliance of SCARA Robots. Part I: Analytical Model." Journal of Dynamic Systems, Measurement, and Control 110, no. 1 (1988): 18–22. http://dx.doi.org/10.1115/1.3152641.

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A special class of robots suited for assembly tasks called SCARA (Selective Compliance Assembly Robot Arm) provides a degree of built-in flexibility due to robot structure. In such robots there are three revolute joints and a prismatic joint. They offer four degrees of freedom consisting of rotation about two vertical and parallel axes at the revolute joints, and translation and rotation about the tool axis. Some models offer additional degrees of freedom at the end effector. Structural compliance can arise due to the stiffness of the robot links, drive system, grippers as well as the assemble

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41

Wu, Xin, Hong Yin He, Gong Jin Lan, and Jin Tian Tang. "Study on Industrial Automation with SCARA Robot Vision System Design." Advanced Materials Research 675 (March 2013): 72–76. http://dx.doi.org/10.4028/www.scientific.net/amr.675.72.

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To realize scara robot in industrial automation work environment identifying target objects independently, this paper puts forward a kind of machine vision solution based on opencv . First the k neighbor average filtering method and otsu is used to the initial image filtering and segmentation, and given a method based on pixel area, using the target object itself geometric characteristics and center of mass calibration to identify, locate purpose. The experimental results show that the system can achieve good object identification orientation effect in more complex industrial automation enviro

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42

Rui Tang, Li Hou, and Qi Zhang. "Adaptive Iterative Learning Control for SCARA Robot Manipulators." International Journal of Advancements in Computing Technology 4, no. 21 (2012): 50–58. http://dx.doi.org/10.4156/ijact.vol4.issue21.7.

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43

Shi, Jiang Tian, De Xin Sun, and Hong Zhuang Zhang. "Developing of Three Degree of Freedoms SCARA Robot." Advanced Materials Research 267 (June 2011): 217–20. http://dx.doi.org/10.4028/www.scientific.net/amr.267.217.

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Mechanical structure of three degree of freedoms SCARA robot adopts horizontal joints, and opening PMAC multitude axis motion controller based PC is looked as kernel of control system, adopts the open hardware and software structure, we can conveniently enlarge its functions according to needs, so it has very good expansibility. Its three-dimensional solid model and virtual assemble is carried out using CATIA application, so that we can estimate the status of interference. Through validation, we can prove the feasibility of the robot.

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44

Bhatia, Praveen, Janarthanan Thirunarayanan, and Nalin Dave. "An expert system-based design of SCARA robot." Expert Systems with Applications 15, no. 1 (1998): 99–109. http://dx.doi.org/10.1016/s0957-4174(98)00015-3.

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45

Lee, M. C., J. M. Lee, K. Son, D. S. Ahn, S. H. Han, and M. H. Lee. "Implementation of Sliding Mode Control for SCARA Robot." IFAC Proceedings Volumes 28, no. 5 (1995): 85–89. http://dx.doi.org/10.1016/s1474-6670(17)47215-6.

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46

Milutinovic, Dragan, and R. Milacic. "Micro Scara Robot as Universal Adaptive Compliant Wrist." CIRP Annals 45, no. 1 (1996): 31–34. http://dx.doi.org/10.1016/s0007-8506(07)63011-x.

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47

Subhashini, P. V. S., N. Amulya, S. Kirthana, and G. Pradeep. "Parametric Optimization Of Surface Roughness Using SCARA Manipulator." Materials Today: Proceedings 5, no. 5 (2018): 11971–76. http://dx.doi.org/10.1016/j.matpr.2018.02.171.

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48

Kang, Z. B., T. Y. Chai, K. Oshima, J. M. Yang, and S. Fujii. "ROBUST VIBRATION CONTROL FOR SCARA-TYPE ROBOT MANIPULATORS." Control Engineering Practice 5, no. 7 (1997): 907–17. http://dx.doi.org/10.1016/s0967-0661(97)00078-6.

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49

KONDO, Wataru, and Nobuyuki FURUYA. "402 Calibration of SCARA Robot usiner Stereo Camera." Proceedings of Yamanashi District Conference 2001 (2001): 111–12. http://dx.doi.org/10.1299/jsmeyamanashi.2001.111.

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50

., Alekh Kumar Sinha. "DEVELOPMENT OF ARDUINO CODE FOR SCARA ROBOTIC ARM." International Journal of Research in Engineering and Technology 06, no. 04 (2017): 45–50. http://dx.doi.org/10.15623/ijret.2017.0604011.

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