White Paper: Robots. There's One for Every Job - How to Choose the Right One
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A Method of Welding Path Planning of Steel Mesh Based on Point Cloud for Welding Robot
A Method of Welding Path Planning of Steel Mesh Based on Point Cloud for Welding Robot Yusen Geng Center for Robotics, School of Control Science and Engi- neering, Shandong University Jinan 250061, China Yuankai Zhang Center for Robotics, School of Control Science and Engi- neering, Shandong University Jinan 250061, China Xincheng Tian ( [email protected] ) Center for Robotics, School of Control Science and Engi- neering, Shandong University Jinan 250061, China Xiaorui Shi Sinotruk Industry Park Zhangqiu, Sinotruk Jinan Power Co.,Ltd. Jinan 250220, China Xiujing Wang Sinotruk Industry Park Zhangqiu, Sinotruk Jinan Power Co.,Ltd. Jinan 250220, China Yigang Cui Sinotruk Industry Park Zhangqiu, Sinotruk Jinan Power Co.,Ltd. Jinan 250220, China Research Article Keywords: Without teaching and programming, 3D structured light camera, Steel mesh point cloud, Welding path planning Posted Date: April 7th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-379414/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published at The International Journal of Advanced Manufacturing Technology on July 15th, 2021. See the published version at https://doi.org/10.1007/s00170-021-07601-6. Noname manuscript No. (will be inserted by the editor) 1 2 3 4 5 6 A method of welding path planning of steel mesh based on 7 8 point cloud for welding robot 9 10 Yusen Geng1,2 · Yuankai Zhang1,2 · Xincheng Tian1,2 B · Xiaorui Shi3 · 11 Xiujing Wang3 · Yigang Cui3 12 13 14 15 16 17 18 Received: date / Accepted: date 19 20 21 Abstract At present, the operators needs to carry out 1 Introduction 22 complicated teaching and programming work on the 23 welding path planning for the welding robot before weld- With the rapid development of automation and robot 24 ing the steel mesh. -
Experiment on Optimization of Robot Welding Process Parameters
International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-1S4, June 2019 Experiment on Optimization of Robot Welding Process Parameters G DilliBabu, D Siva Sankar, K. Sivaji Babu ABSTRACT---Resistance spot welding plays an important role short time and Use pressure on sheets to join. Fluxes are not in the manufacturing industry especially in the automobile used in the RSW process, and use of filler metal is very rare sector. There is a lot of research work in the area of manually [2]. spot welding process and optimization of spot welding parameters. Currently there is more demand on robot spot welding process in the manufacturing unit. But only few research works is going on in the area of robot spot welding process and optimization of robot welding parameters. The present study gives an experimental investigation on robot resistance spot welding. Optimum robot spot welding parameters were identified by using Taguchi design of experiments approach. Also the results are analyzed by using Analysis of Variance ANOVA. Keywords: Robot, Spot Welding, optimization. I. INTRODUCTION Resistance spot welding (RSW) is the oldest process widely being used for joining sheet metals in various industries because of its simplicity, easy for automation and reliability for bulk production. RSW is an autogenously Fig. 1. Resistance spot welding principal welding method, meaning that dissimilar other methods. It does not necessity filler metal. RSW uses the metal’s usual Kim[3] et al.based on this study, recently electrical resistance and contraction in the path of current severalautomobile industries are trying to decrease the mass flow, to produce heat at the interface. -
Robotic Systems
Robotic Systems What is an Industrial Robot? An industrial robot is a programmable, multi-functional manipulator designed to move materials, parts, tools, or special devices through variable programmed motions for the performance of a variety of tasks. An industrial robot consists of a number of rigid links connected by joints of different types, controlled and monitored by a computer. Fundamentals of Robotics and Robotics Technology Power sources for robots 1. Hydraulic drive: gives a robot great speed and strength. These systems can be designed to actuate linear or rotational joints. The main disadvantage of a hydraulic system is that it occupies floor space in addition to that required by the robot. 2. Electric drive: compared with a hydraulic system, an electric system provides a robot with less speed and strength. Accordingly, electric drive systems are adopted for smaller robots. However, robots supported by electric drive systems are more accurate, exhibit better repeatability, and are cleaner to use. 3. Pneumatic drive: are generally used for smaller robots. These robots, with fewer degrees of freedom, carry out simple pick-and-place material handling operations. Robotic sensors 1. Position sensors: are used to monitor the position of joints. Information about the position is fed back to the control systems that are used to determine the accuracy of joint movements. 2. Range sensors: measure distances from the reference point to other points of importance. Range sensing is accomplished by means of television cameras or sonar transmitters and receivers. 3. Velocity sensors: are used to estimate the speed with which a manipulator is moved. The velocity is an important part of dynamic performance of the manipulator. -
History of Robotics: Timeline
History of Robotics: Timeline This history of robotics is intertwined with the histories of technology, science and the basic principle of progress. Technology used in computing, electricity, even pneumatics and hydraulics can all be considered a part of the history of robotics. The timeline presented is therefore far from complete. Robotics currently represents one of mankind’s greatest accomplishments and is the single greatest attempt of mankind to produce an artificial, sentient being. It is only in recent years that manufacturers are making robotics increasingly available and attainable to the general public. The focus of this timeline is to provide the reader with a general overview of robotics (with a focus more on mobile robots) and to give an appreciation for the inventors and innovators in this field who have helped robotics to become what it is today. RobotShop Distribution Inc., 2008 www.robotshop.ca www.robotshop.us Greek Times Some historians affirm that Talos, a giant creature written about in ancient greek literature, was a creature (either a man or a bull) made of bronze, given by Zeus to Europa. [6] According to one version of the myths he was created in Sardinia by Hephaestus on Zeus' command, who gave him to the Cretan king Minos. In another version Talos came to Crete with Zeus to watch over his love Europa, and Minos received him as a gift from her. There are suppositions that his name Talos in the old Cretan language meant the "Sun" and that Zeus was known in Crete by the similar name of Zeus Tallaios. -
Industrial Robotics
Robotics 1 Industrial Robotics Prof. Alessandro De Luca Robotics 1 1 What is a robot? ! industrial definition (RIA = Robotic Institute of America) re-programmable multi-functional manipulator designed to move materials, parts, tools, or specialized devices through variable programmed motions for the performance of a variety of tasks, which also acquire information from the environment and move intelligently in response ! ISO 8373 definition an automatically controlled, reprogrammable, multipurpose manipulator programmable in three or more axes, which may be either fixed in place or mobile for use in industrial automation applications ! more general definition (“visionary”) intelligent connection between perception and action Robotics 1 2 Robots !! Spirit Rover (2002) Comau H4 Waseda WAM-8 (1995) (1984) Robotics 1 3 A bit of history ! Robota (= “work” in slavic languages) are artificial human- like creatures built for being inexpensive workers in the theater play Rossum’s Universal Robots (R.U.R.) written by Karel Capek in 1920 ! Laws of Robotics by Isaac Asimov in I, Robot (1950) 1. A robot may not injure a human being or, through inaction, allow a human being to come to harm 2. A robot must obey orders given to it by human beings, except where such orders would conflict with the First Law 3. A robot must protect its own existence as long as such protection does not conflict with the First or Second Law Robotics 1 4 Evolution toward industrial robots computer 1950 mechanical numerically controlled telemanipulators machines (CNC) robot manipulators 1970 Unimation PUMA ! with respect to the ancestors ! flexibility of use ! adaptability to a priori unknown conditions ! accuracy in positioning ! repeatability of operation Robotics 1 5 The first industrial robot US Patent General Motor plant, 1961 G. -
Final Program and Book of Abstracts Third Swedish Workshop on Autonomous Robotics SWAR ´05
Final Program and Book of Abstracts Third Swedish Workshop on Autonomous Robotics SWAR '05 Petter Ögren (Editor) Kista, Stockholm, September 1-2, 2005 FOI-R-- 1756 --SE Systems Technology October 2005 ISSN 1650-1942 Scientific report Final Program and Book of Abstracts Third Swedish Workshop on Autonomous Robotics SWAR ‘05 FOI-R--1756--SE Systems Technology October 2005 ISSN 1650-1942 Scientific report Page 1 of 98 Issuing organization Report number, ISRN Report type FOI – Swedish Defence Research Agency FOI-R—1756--SE Scientific report Systems Technology Research area code SE-164 90 Stockholm 7. Mobility and space technology, incl materials Month year Project no. October 2005 E6941 Sub area code 71 Unmanned Vehicles Sub area code 2 Author/s (editor/s) Project manager Petter Ögren (Editor) Petter Ögren Approved by Monica Dahlén Sponsoring agency FMV Scientifically and technically responsible Karl Henrik Johansson Report title Final Program and Book of Abstracts, Third Swedish Workshop on Autonomous Robotics, SWAR 05 Abstract This document contains the final program and 36 two page extended abstracts from the Third Swedish Workshop on Autonomous Robotics, SWAR’05, organized by FOI in September 1-2, 2005. SWAR is an opportunity for researchers and engineers working in the field of robotics and autonomous systems to learn about activities of neighboring institutions, discuss common interests and initiate new cooperations. The previous workshops, SWAR’00 and SWAR’02, were hosted by Örebro University and KTH, respectively. SWAR’05 gathered more than 80 participants from 25 different organizations, all over Sweden. Keywords Autonomy, Robotics, SWAR, Workshop Further bibliographic information Language English ISSN 1650-1942 Pages 98 p. -
Robots Application for Welding
Műszaki Tudományos Közlemények vol. 12. (2020) 50–54. DOI: English: https://doi.org/10.33894/mtk-2020.12.07 Hungarian: https://doi.org/10.33895/mtk-2020.12.07 ROBOTS APPLICATION FOR WELDING Abdallah KAfI,1 Tünde Anna KOvács,2 László Tóth,3 Zoltán NyIKEs4 1 Óbuda University, Doctoral Scool on Safety and Security Sciences, Budapest, Hungary, [email protected] 2, 3, 4 Óbuda University, Donát Bánki Faculty of Mechanical and Safety Engineering, Budapest, Hungary, 2 kovacs.tunde@ bgk.uni-obuda.hu 3 [email protected] 4 [email protected] Abstract In this work, the authors give an overview of the advancement of industrial robots and show the mechani- zation of welding processes, step by step. As manual welding is a physically exhausting professional work, engineers have sought to improve work conditions since the industrial revolution. Unfortunately, even today, many procedures can only be performed manually. In the welding process, the highest level of mechaniza- tion is represented by the use of robotics. The entrance of Robots in the history of welding is recent, though their spread and development are rapid. Keywords: welding, robot, sensor, security, danger. 1. Introduction The idea of robots or automated machines has a long history. Ancient Greek texts talk about Talos, the gigantic brass automaton (Figure 1.), protecting crete and Europe from pirates and invaders by walking three times around the island daily and throwing boulders at the approaching ships [1]. The ancient pieces (77–100 bc.) of a mechanical calculator, found under the sea, also prove hu- mans have long been able to construct automat- ic machines. -
Robot Control and Programming: Class Notes Dr
NAVARRA UNIVERSITY UPPER ENGINEERING SCHOOL San Sebastian´ Robot Control and Programming: Class notes Dr. Emilio Jose´ Sanchez´ Tapia August, 2010 Servicio de Publicaciones de la Universidad de Navarra 987‐84‐8081‐293‐1 ii Viaje a ’Agra de Cimientos’ Era yo todav´ıa un estudiante de doctorado cuando cayo´ en mis manos una tesis de la cual me llamo´ especialmente la atencion´ su cap´ıtulo de agradecimientos. Bueno, realmente la tesis no contaba con un cap´ıtulo de ’agradecimientos’ sino mas´ bien con un cap´ıtulo alternativo titulado ’viaje a Agra de Cimientos’. En dicho capitulo, el ahora ya doctor redacto´ un pequeno˜ cuento epico´ inventado por el´ mismo. Esta pequena˜ historia relataba las aventuras de un caballero, al mas´ puro estilo ’Tolkiano’, que cabalgaba en busca de un pueblo recondito.´ Ya os podeis´ imaginar que dicho caballero, no era otro sino el´ mismo, y que su viaje era mas´ bien una odisea en la cual tuvo que superar mil y una pruebas hasta conseguir su objetivo, llegar a Agra de Cimientos (terminar su tesis). Solo´ deciros que para cada una de esas pruebas tuvo la suerte de encontrar a una mano amiga que le ayudara. En mi caso, no voy a presentarte una tesis, sino los apuntes de la asignatura ”Robot Control and Programming´´ que se imparte en ingles.´ Aunque yo no tengo tanta imaginacion´ como la de aquel doctorando para poder contaros una historia, s´ı que he tenido la suerte de encontrar a muchas personas que me han ayudado en mi viaje hacia ’Agra de Cimientos’. Y eso es, amigo lector, al abrir estas notas de clase vas a ser testigo del final de un viaje que he realizado de la mano de mucha gente que de alguna forma u otra han contribuido en su mejora. -
Industrial Robot
1 Introduction 25 1.2 Industrial robots - definition and classification 1.2.1 Definition (ISO 8373:2012) and delimitation The annual surveys carried out by IFR focus on the collection of yearly statistics on the production, imports, exports and domestic installations/shipments of industrial robots (at least three or more axes) as described in the ISO definition given below. Figures 1.1 shows examples of robot types which are covered by this definition and hence included in the surveys. A robot which has its own control system and is not controlled by the machine should be included in the statistics, although it may be dedicated for a special machine. Other dedicated industrial robots should not be included in the statistics. If countries declare that they included dedicated industrial robots, or are suspected of doing so, this will be clearly indicated in the statistical tables. It will imply that data for those countries is not directly comparable with those of countries that strictly adhere to the definition of multipurpose industrial robots. Wafer handlers have their own control system and should be included in the statistics of industrial robots. Wafers handlers can be articulated, cartesian, cylindrical or SCARA robots. Irrespective from the type of robots they are reported in the application “cleanroom for semiconductors”. Flat panel handlers also should be included. Mainly they are articulated robots. Irrespective from the type of robots they are reported in the application “cleanroom for FPD”. Examples of dedicated industrial robots that should not be included in the international survey are: Equipment dedicated for loading/unloading of machine tools (see figure 1.3). -
Umi-Uta-1152.Pdf (4.819Mb)
MODULAR MULTI-SCALE ASSEMBLY SYSTEM FOR MEMS PACKAGING by RAKESH MURTHY Presented to the Faculty of the Graduate School of The University of Texas at Arlington in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE IN MECHANICAL ENGINEERING THE UNIVERSITY OF TEXAS AT ARLINGTON December 2005 ACKNOWLEDGEMENTS With this degree, I feel one step closer to my goal. I wish to begin by thanking my Mom, Dad and my Brother. I would like to thank Dr. Raul Fernandez for his constant support and encouragement shown in the past two years. I am indebted to Dr. Dan Popa for his support and belief in my ability. I have seen tremendous improvements in my skills and confidence under his supervision. I look forward to many more years of close association with him. I would also like to thank Dr.Agonafer for his encouragement. I cannot undermine the role played by Dr. Jeongsik Sin, Dr. Wo Ho Lee, Dr. Heather Beardsley, Manoj Mittal, Abioudin Afosoro Amit Patil and Richard Bergs for my success in the BMC project and subsequently in my thesis research. Finally I wish to thank all my friends from UTA and in India. November 11, 2005 ii ABSTRACT MODULAR MULTI-SCALE ASSEMBLY SYSTEM FOR MEMS PACKAGING Publication No. ______ Rakesh Murthy, MS The University of Texas at Arlington, 2005 Supervising Professor: Dr. Raul Fernandez A multi-scale robotic assembly problem is approached here with focus on mechanical design for precision positioning at the microscale. The assembly system is characterized in terms of accuracy/repeatability and calibration via experiments. -
Motion Planning for Variable Topology Trusses: Reconfiguration and Locomotion
Journal Title XX(X):1–22 Motion Planning for Variable Topology ©The Author(s) 2021 Trusses: Reconfiguration and Locomotion Chao Liu1, Sencheng Yu2, and Mark Yim1 Abstract Truss robots are highly redundant parallel robotic systems and can be applied in a variety of scenarios. The variable topology truss (VTT) is a class of modular truss robot. As self-reconfigurable modular robots, variable topology trusses are composed of many edge modules that can be rearranged into various structures with respect to different activities and tasks. These robots are able to change their shapes by not only controlling joint positions which is similar to robots with fixed morphologies, but also reconfiguring the connections among modules in order to change their morphologies. Motion planning is the fundamental to apply a VTT robot, including reconfiguration to alter its shape, and non-impact locomotion on the ground. This problem for VTT robots is difficult due to their non-fixed morphologies, high dimensionality, the potential for self-collision, and complex motion constraints. In this paper, a new motion planning framework to dramatically alter the structure of a VTT is presented. It can also be used to solve locomotion tasks much more efficient compared with previous work. Several test scenarios are used to show its effectiveness. Keywords Modular Robots, Parallel Robots, Motion Planning, Reconfiguration Planning, Locomotion 1 Introduction Self-reconfigurable modular robots consist of repeated building blocks (modules) from a small set of types with uniform docking interfaces that allow the transfer of mechanical forces and moments, electrical power, and communication throughout all modules (Yim et al. -
A Semi-Supervised Machine Learning Approach for Acoustic Monitoring of Robotic Manufacturing Facilities
A SEMI-SUPERVISED MACHINE LEARNING APPROACH FOR ACOUSTIC MONITORING OF ROBOTIC MANUFACTURING FACILITIES by Jeffrey Bynum A Thesis Submitted to the Graduate Faculty of George Mason University In Partial fulfillment of The Requirements for the Degree of Master of Science Electrical Engineering Committee: Dr. Jill Nelson, Thesis Director Dr. David Lattanzi, Committee Member Dr. Vasiliki Ikonomidou, Committee Member Dr. Monson Hayes, Chairman, Department of Electrical and Computer Engineering Dr. Kenneth Ball, Dean for Volgenau School of Engineering Date: Summer 2019 George Mason University Fairfax, VA A Semi-supervised Machine Learning Approach for Acoustic Monitoring of Robotic Manufacturing Facilities A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science at George Mason University By Jeffrey Bynum Bachelor of Science George Mason University, 2016 Director: Dr. Jill Nelson, Professor Department of Electrical and Computer Engineering Summer 2019 George Mason University Fairfax, VA Copyright c 2019 by Jeffrey Bynum All Rights Reserved ii Dedication I dedicate this thesis to my parents. Your love and encouragement made this possible. iii Acknowledgments I would like to thank the members of the Lattanzi Research Group for your invaluable mentorship, guidance, and feedback. In addition, portions of this work were supported by a grant from the Office of Naval Research (No. N00014-18-1-2014). Any findings or recommendations expressed in this material are those of the author and does not necessarily reflect the views of ONR. iv Table of Contents Page List of Tables . vii List of Figures . viii Abstract . x 1 Introduction . 1 2 Prior Work . 3 2.1 Feature Engineering .