Industrial Robots Datasheets 2 Industrial Robots
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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. -
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). -
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. -
Articulated Robot Motion for Simultaneous Localization and Mapping (ARM-SLAM)
Articulated Robot Motion for Simultaneous Localization and Mapping (ARM-SLAM) Matthew Klingensmith1 Siddartha S. Sirinivasa2 Michael Kaess3 Abstract— A robot with a hand-mounted depth sensor scans a scene. When the robot’s joint angles are not known with certainty, how can it best reconstruct the scene? In this work, we simultaneously estimate the joint angles of the robot and reconstruct a dense volumetric model of the scene. In this way, we perform simultaneous localization and mapping in the configuration space of the robot, rather than in the pose space of the camera. We show using simulations and robot experiments that our approach greatly reduces both 3D reconstruction error and joint angle error over simply using the forward kinematics. Unlike other approaches, ours directly reasons about robot joint angles, and can use these to constrain the pose of the sensor. Because of this, it is more robust to missing or ambiguous depth data than approaches that are unconstrained by the robot’s kinematics. I. INTRODUCTION Uncertainty is a central problem in robotics. In order to (a) Experimental setup. understand and interact with the world, robots need to inter- pret signals from noisy sensors to reconstruct clear models not only of the world around them, but also their own internal state. For example, a mobile robot navigating an unknown space must simultaneously reconstruct a model of the world around it, and localize itself against that model using noisy sensor data from wheel odometry, lasers, cameras, or other sensors. This problem (called the Simultaneous Localization and Mapping (SLAM) problem) is very well-studied in the mobile robotics community. -
1. Introduction
College of Applied Science, Payyappady Self-Healing Robots 1. INTRODUCTION 1.1 ROBOTS A robot is a mechanical or virtual, artificial agent. It is usually an electromechanical system, which, by its appearance or movements, conveys a sense that it has intent or agency of its own. A typical robot will have several, though not necessarily all of the following properties: Is not 'natural' i.e. has been artificially created. Can sense its environment. Can manipulate things in its environment. Has some degree of intelligence or ability to make choices based on the environment or automatic control / pre-programmed sequence. Is programmable. Can move with one or more axes of rotation or translation. Can make dexterous coordinated movements. Appears to have intent or agency (reification, anthropomorphisation or Pathetic fallacy). Robotic systems are of growing interest because of their many practical applications as well as their ability to help understand human and animal behavior, cognition, and physical performance. Although industrial robots have long been used for repetitive tasks in structured environments, one of the long- standing challenges is achieving robust performance under uncertainty. Most http://vishnur-online.blogspot.com Page | 1 College of Applied Science, Payyappady Self-Healing Robots robotic systems use a manually constructed mathematical model that captures the robot’s dynamics and is then used to plan actions. Although some parametric identification methods exist for automatically improving these models, making accurate models is difficult for complex machines, especially when trying to account for possible topological changes to the body, such as changes resulting from damage. 1.2 ERROR RECOVERY Recovery from error, failure or damage is a major concern in robotics. -
Expanding the Use of Robotics in Airframe Assembly Via Accurate Robot Technology
2010-01-1846 Expanding the Use of Robotics in Airframe Assembly Via Accurate Robot Technology Russell DeVlieg Electroimpact, Inc. Copyright © 2010 SAE International ABSTRACT Serial link articulated robots applied in aerospace assembly have largely been limited in scope by deficiencies in positional accuracy. The majority of aerospace applications require tolerances of +/-0.25mm or less which have historically been far beyond reach of the conventional off-the-shelf robot. The recent development of the accurate robot technology represents a paradigm shift for the use of articulated robotics in airframe assembly. With the addition of secondary feedback, high-order kinematic model, and a fully integrated conventional CNC control, robotic technology can now compete on a performance level with customized high precision motion platforms. As a result, the articulated arm can be applied to a much broader range of assembly applications that were once limited to custom machines, including one-up assembly, two-sided drilling and fastening, material removal, and automated fiber placement. INTRODUCTION Assembly tolerances in aircraft structures have driven automation manufacturers to design custom, dedicated equipment that will meet accuracy requirements. Though successful, custom machines are relatively expensive, and for shorter term contracts, are difficult to justify as their scope is typically focused on a single application. Production implementations of articulated arm robots in aerospace have been active for many years with varying degrees of success. Interest in them derives from their successful implementation in automotive manufacturing. Robots offer airframe manufacturers benefits in both cost and application flexibility. Because their mass is relatively low, foundation requirements are minimal and often systems can be installed on top of existing slabs. -
High-Accuracy Articulated Mobile Robots 2017-01-2095 Published 09/19/2017
High-Accuracy Articulated Mobile Robots 2017-01-2095 Published 09/19/2017 Timothy Jackson Electroimpact Inc. CITATION: Jackson, T., "High-Accuracy Articulated Mobile Robots," SAE Technical Paper 2017-01-2095, 2017, doi:10.4271/2017- 01-2095. Copyright © 2017 SAE International Abstract feedback methods [2]. Work discussed in this paper addresses particular aspects of maintaining a similar level of accuracy The advent of accuracy improvement methods in robotic arm performance in mobile robotic systems. manipulators have allowed these systems to penetrate applications previously reserved for larger, robustly supported machine A variety of mobile robot architectures implemented in architectures. A benefit of the relative reduced size of serial-link manufacturing endeavors are discussed; specifically, challenges robotic systems is the potential for their mobilization throughout a associated with the mechanical design, control, and calibration of the manufacturing environment. However, the mobility of a system offers systems as these aspects pertain to accuracy performance. The unique challenges in maintaining the high-accuracy requirement of positional accuracy of these systems, measured using a laser tracker, many applications, particularly in aerospace manufacturing. is offered as evidence of the effectiveness of these techniques. The Discussed herein are several aspects of mechanical design, control, core of all the robotic systems discussed is that of the patented and accuracy calibration required to retain accurate motion over large Electroimpact Accurate Robot technology. This consists of a KUKA volumes when utilizing mobile articulated robotic systems. A number Robotics-manufactured articulated robot fitted with secondary of mobile robot system architectures and their measured static feedback devices on each robot joint and controlled by a Siemens accuracy performance are provided in support of the particular 840Dsl CNC. -
Robotics For
TECHNICAL PROGRESS REPORT ROBOTIC TECHNOLOGIES FOR THE SRS 235-F FACILITY Date Submitted: August 12, 2016 Principal: Leonel E. Lagos, PhD, PMP® FIU Applied Research Center Collaborators: Peggy Shoffner, MS, CHMM, PMP® Himanshu Upadhyay, PhD Alexander Piedra, DOE Fellow SRNL Collaborators: Michael Serrato Prepared for: U.S. Department of Energy Office of Environmental Management Cooperative Agreement No. DE-EM0000598 DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, nor any of its contractors, subcontractors, nor their employees makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe upon privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or any other agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or any agency thereof. FIU-ARC-2016-800006472-04c-235 Robotic Technologies for SRS 235F TABLE OF CONTENTS Executive Summary ..................................................................................................................................... -
Fact Sheet: History of Robotics
Fact Sheet: History of Robotics www.RazorRobotics.com ≈250 B.C. - Ctesibius, an ancient Greek engineer and mathematician, invented a water clock which was the most accurate for nearly 2000 years. ≈60 A.D. - Hero of Alexandria designs the first automated programmable machine. These 'Automata' were made from a container of gradually releasing sand connected to a spindle via a string. By using different configurations of these pulleys, it was possible to repeatably move a statue on a pre-defined path. 1898 - The first radio-controlled submersible boat was invented by Nikola Tesla. 1921 - The term 'Robot' was coined by Karel Capek in the play 'Rossum's Universal Robots'. 1941 - Isaac Asimov introduced the word 'Robotics' in the science fiction short story 'Liar!' 1948 - William Grey Walter builds Elmer and Elsie, two of the earliest autonomous robots with the appearance of turtles. The robots used simple rules to produce complex behaviours. 1954 - The first silicon transistor was produced by Texas Instruments. 1956 - George Devol applied for a patent for the first programmable robot, later named 'Unimate'. 1957 - Launch of the first artificial satellite, Sputnik 1. I, Robot Turtle robot Sputnik 1 1961 - First Unimate robot installed at General Motors. Used for welding and die casting. 1965 - Gordon E. Moore introduces the concept 'Moore's law', which predicts the number of components on a single chip would double every two years. 1966 - Work began on the 'Shakey' robot at Stanford Research Institute. 'Shakey' was capable of planning, route-finding and moving objects. 1969 - The Apollo 11 mission, puts the first man on the moon.