scholarly journals Eyes on the Line

2005 ◽  
Vol 127 (08) ◽  
pp. 25-27
Author(s):  
Gayle Ehrenman
Keyword(s):  
Automotive Industry ◽  
Food Packaging ◽  
Industrial Robot ◽  
Low Cost ◽  
Ease Of Use ◽  
Consumer Electronics ◽  
Industrial Robots ◽  
Production Lines ◽  
Robot System ◽  
Pharmaceutical Production

This article discusses vision-enabled robots that are helping factories to keep the production lines rolling, even when the parts are out of place. The automotive industry was one of the earliest to adopt industrial robots, and continues to be one of its biggest users, but now industrial robots are turning up in more unusual factory settings, including pharmaceutical production and packaging, consumer electronics assembly, machine tooling, and food packaging. No current market research is available that breaks down vision-enabled versus blind robot usage. However, all the major industrial robot manufacturers are turning out models that are vision-enabled; one manufacturer said that its entire current line of robots are vision enabled. All it takes to change over the robot system is some fairly basic tooling changes to the robot's end-effector, and some programming changes in the software. The combination of speed, relatively low cost , flexibility, and ease of use that vision-enabled robots offer is making an increasing number of factories consider putting another set of eyes on their lines.

scholarly journals Work Buddies

2015 ◽  
Vol 137 (06) ◽  
pp. 38-43
Author(s):  
Alan S. Brown
Keyword(s):  
Video Game ◽  
Industrial Robot ◽  
Low Cost ◽  
Ease Of Use ◽  
Industrial Robots ◽  
Vision Systems ◽  
Collaborative Robots ◽  
New Generation

This article presents a study on the evolution and future of low cost and flexible new generation of robots. These collaborative robots – designed to work safely with and around people – combine low cost and ease of use. They are finding their way into large plants and into small factories, which can now automate batch runs that would never be economical with a conventional industrial robot. Most of these robots are similar to conventional industrial robots, but are smaller, lighter, and simpler to use. As robotics technology has matured, programming the robots (and just about everything else) has grown easier and more intuitive. Key components, such as motion and impact sensors and vision systems, combine better performance with costs low enough to sell in cheap video game controllers. Today’s robots may not be very interactive, however, the first wave of collaborative robots are finding simple tasks where they can make a difference.

scholarly journals Analysis of Core Technology Problems and Countermeasures in the Robot Industry

2021 ◽  
Vol 5 (6) ◽  
pp. 19-24
Author(s):  
Xiguang Zhang
Keyword(s):  
Industrial Robot ◽  
Strong Dependence ◽  
Industrial Robots ◽  
Robot System ◽  
High Quality ◽  
Core Technology ◽  
Key Technologies ◽  
Core Components ◽  
Basic Technology ◽  
Technology Level

Since 2013, China has been the world’s largest market for industrial robots. Despite the gradual maturity of the industrial robot system, the lagging R&D and backward technology level of industrial robots have led to a strong dependence on the import of core components and key technologies, which to a certain extent has restricted the development and improvement of industrial robots. At present, the “neck problem” in the field of industrial robots in China is not only in the reducer, controller, and servo but also in the basic processing equipment, basic technology, and basic materials. In this paper, we propose measures to improve the “neck problem” of industrial robots to promote the high-quality development of industrial robots in China.

A Semiparametric Model-Based Friction Compensation Method for Multi-Joint Industrial Robot

2021 ◽  
Author(s):  
Miao He ◽  
Xiaomin Wu ◽  
Guifang Shao ◽  
Yuhua Wen ◽  
Tundong Liu
Keyword(s):  
Industrial Robot ◽  
Lyapunov Theory ◽  
Industrial Robots ◽  
Learning Ability ◽  
Robot System ◽  
Joint Friction ◽  
Tracking Tasks ◽  
Physical Information ◽  
The Stability ◽  
Six Degree Of Freedom

Abstract Industrial robots have received enormous attention due to their widespread uses in modern manufacturing. However, due to the frictional discontinuous and other unknown dynamics in robotic system, existing researches are limited to simulation and single- or double-joint robot. In this paper, we introduce a semiparametric controller combined by a radial basis function neural network (RBFNN) and complete physical model considering joint friction. First, to extend the NN controller to real-world problems, the continuously differentiable friction (CDF) model is adopted to bring physical information into the learning process. Then, RBFNN is employed to approximate the model error and other unmolded dynamics, and the parameters of CDF model are updated online according to its learning ability. The stability of the robot system can be guaranteed by the Lyapunov theory. The primary parameters of CDF model are determined by the identification experiment and subsequently iteratively updated by the NN. Real-time tracking tasks are performed on a six degree of freedom (DoF) manipulator to follow the desired trajectory. Experimental results demonstrate the effectiveness and superiority of the proposed controller, especially at low speed.

Hochpräzises Bearbeiten von Schiffspropellern*/High-precision machining of very large ship propellers

2017 ◽  
Vol 107 (03) ◽  
pp. 182-188
Author(s):  
S. Dryba ◽  
J. Meißner ◽  
M.-C. Prof. Wanner ◽  
O. Wurst
Keyword(s):  
Industrial Robot ◽  
Vital Role ◽  
Industrial Robots ◽  
Precision Machining ◽  
Heavy Duty ◽  
Robot System ◽  
Work Spaces ◽  
Large Ship ◽  
Flexible Applications ◽  
Large Work

In der industriellen Fertigung sind Industrieroboter weit verbreitet [1]. Durch ihre Flexibilität und Schnittstellenvielfalt sind sie für den Ansatz Industrie 4.0 von immenser Bedeutung. Einige Bereiche der Industrie, beispielsweise Gießereien, sind bisher von dieser Entwicklung ausgeschlossen. Viele Werkstücke, die hier zu handhaben oder bearbeiten sind, überschreiten die Arbeitsräume und Lastmomente verfügbarer Industrierobotersysteme. Der Fachbeitrag beschreibt die Entwicklung eines Schwerlast-Großrobotersystems sowie dessen Applikation in einer Gießerei für große Werkstücke.   The use of industrial robots is prevalent in today’s industry [1]. Due to flexible applications and a large variety of interface options, they play a vital role in implementing “Industry 4.0”. As industrial robots offering sufficiently large work spaces and handling heavy payloads are not available today, specific industrial areas, such as foundries, have been mostly excluded from this progress. This paper describes the development of a new heavy-duty industrial robot system, as well as its application in a foundry for large workpieces.

Fast, Accurate, and Automated 3D Reconstruction Using a Depth Camera Mounted on an Industrial Robot

2021 ◽  
Author(s):  
Rishi Malhan ◽  
Rex Jomy Joseph ◽  
Prahar M. Bhatt ◽  
Brual Shah ◽  
Satyandra K. Gupta
Keyword(s):  
3D Reconstruction ◽  
Cycle Time ◽  
Industrial Robot ◽  
Low Cost ◽  
Point Clouds ◽  
Industrial Robots ◽  
Depth Camera ◽  
Reconstruction Process ◽  
Depth Cameras ◽  
Manufacturing Applications

Abstract 3D reconstruction technology is used in a wide variety of applications. Currently, automatically creating accurate pointclouds for large parts requires expensive hardware. We are interested in using low-cost depth cameras mounted on commonly available industrial robots to create accurate pointclouds for large parts automatically. Manufacturing applications require fast cycle times. Therefore, we are interested in speeding up the 3D reconstruction process. We present algorithmic advances in 3D reconstruction that achieve a sub-millimeter accuracy using a low-cost depth camera. Our system can be used to determine a pointcloud model of large and complex parts. Advances in camera calibration, cycle time reduction for pointcloud capturing, and uncertainty estimation are made in this work. We continuously capture point-clouds at an optimal camera location with respect to part distance during robot motion execution. The redundancy in pointclouds achieved by the moving camera significantly reduces errors in measurements without increasing cycle time. Our system produces sub-millimeter accuracy.

scholarly journals A Methodology for Industrial Robot Calibration Based on Measurement Sub-Regions

2021 ◽  
Author(s):  
Juan Sebastian Toquica ◽  
José Maurı́cio Motta
Keyword(s):  
Industrial Robot ◽  
Low Cost ◽  
Kinematic Model ◽  
Measurement Data ◽  
Industrial Applications ◽  
Industrial Robots ◽  
Robot Calibration ◽  
High Precision Measurement ◽  
Measurement Systems ◽  
Robot Accuracy

Abstract This paper proposes a methodology for calibration of industrial robots that uses a concept of measurement sub-regions, allowing low-cost solutions and easy implementation to meet the robot accuracy requirements in industrial applications. The solutions to increasing the accuracy of robots today have high-cost implementation, making calibration throughout the workplace in industry a difficult and unlikely task. Thus, reducing the time spent and the measured workspace volume of the robot end-effector are the main benefits of the implementation of the sub-region concept, ensuring sufficient flexibility in the measurement step of robot calibration procedures. The main contribution of this article is the proposal and discussion of a methodology to calibrate robots using several small measurement sub-regions and gathering the measurement data in a way equivalent to the measurements made in large volume regions, making feasible the use of high-precision measurement systems but limited to small volumes, such as vision-based measurement systems. The robot calibration procedures were simulated according to the literature, such that results from simulation are free from errors due to experimental setups as to isolate the benefits of the measurement proposal methodology. In addition, a method to validate the analytical off-line kinematic model of industrial robots is proposed using the nominal model of the robot supplier incorporated into its controller.

Design of an Inertial Measuring Unit for Control of Robotic Devices

2019 ◽  
Vol 952 ◽  
pp. 313-322 ◽  
Author(s):  
Emil Škultéty ◽  
Elena Pivarčiová ◽  
Ladislav Karrach
Keyword(s):  
Technology Development ◽  
Industrial Robot ◽  
Low Cost ◽  
Cost Savings ◽  
Industrial Robots ◽  
Measurement Unit ◽  
Mems Sensor ◽  
Wide Range ◽  
Robotic Devices ◽  
Robotic Application

Industrial robots are increasingly used to automate technological processes, such as machining, welding, paint coating, assembly, etc. Automation rationalizes material flows, integrates production facilities and reduces the need for manufacturing inventory, provides cost savings for human maintenance. Technology development and growing competition have an influence on production growth and increase of product quality, and thus the new possibilities in innovation of industrial robot are searched for. One of the possibilities is applying of an inertial navigation system into robot control. This article focuses on new trends in manufacturing technology: design of Inertial Measurement Unit (IMU) for a robotic application control. The Arduino platform is used for the IMU as a hardware solution. The advantage of this platform is low cost and wide range of sensors and devices that are compatible with this platform. For scanning, the MEMS sensor MPU6050 is used, which includes a 3-axis gyroscope and an accelerometer in one chip. New trends in manufacturing facilities, especially robotics innovation and automation, will enable the productivity to grow in production processes.

scholarly journals CONTROLLING OF AN INDUSTRIAL ROBOTIC ARM

2013 ◽  
pp. 230-235
Author(s):  
V. VENKATESWARLU ◽  
S. SREENIVASULU
Keyword(s):  
Response Time ◽  
Industrial Robot ◽  
Low Cost ◽  
Recognition Rate ◽  
Back Propagation ◽  
Industrial Robots ◽  
System Response ◽  
Back Propagation Algorithm ◽  
System Response Time ◽  
Artificial Neural Network Ann

Most of industrial robots are still programmed using the typical teaching process, through the use of the robot teach pendant. In this paper is proposed an accelerometer-based system to control an industrial robot using two low-cost and small 3-axis wireless accelerometers. These accelerometers are attached to the human arms, capturing its behavior (gestures and postures). An Artificial Neural Network (ANN) trained with a back-propagation algorithm was used to recognize arm gestures and postures, which then will be used as input in the control of the robot. The aim is that the robot starts the movement almost at the same time as the user starts to perform a gesture or posture (low response time). The results show that the system allows the control of an industrial robot in an intuitive way. However, the achieved recognition rate of gestures and postures (92%) should be improved in future, keeping the compromise with the system response time (160 milliseconds). Finally, the results of some tests performed with an industrial robot are presented and discussed.

scholarly journals Flexible grippers for industrial robots – comparison of features of low-cost 3D printed component

2019 ◽  
Vol 254 ◽  
pp. 02020
Author(s):  
Piotr Zbroja ◽  
Ksawery Szykiedans ◽  
Wojciech Credo
Keyword(s):  
Industrial Robot ◽  
Low Cost ◽  
Selective Laser Sintering ◽  
Industrial Robots ◽  
Wear Behaviour ◽  
Fused Deposition Modelling ◽  
Test Machine ◽  
3D Print ◽  
Fused Deposition ◽  
3D Printed

The aim of presented work was to analyse the feasibility of using 3D-print technology in robotics based on the production of industrial robot flexible grippers. For selected geometry of gripper single finger available 3D printing techniques has been analysed. The study made by authors uses the following additive technologies and devices: SLS (Selective laser Sintering) and FDM (Fused deposition modelling). As a prior an analyses of capabilities of individual technologies were done by testing the quality of the 3D CAD model recreated on test print-outs. Based on the printed gripper, its functionality, and strength properties were examined. Strength of grapplers was tested with a use of an MTS test machine under repeating deflexion simulating standard operational cycle of a gripper. Test proved that at least few thousands of cycle are possible to be made by a 3D printed gripper. What interesting gripper made with use of the less advanced printer showed different wear behaviour than an one made on the more advanced. First one showed almost instantaneous start of slow and constant strength degradation while the second one proved to have a stable deflexional capability by almost twice an number of cycles. More isotropic structure of an SLS printed gripper caused the best results of all tested ones.

Load Estimation and Compensation Control of a Vertical Two-Link Robot

1990 ◽  
Vol 2 (2) ◽  
pp. 107-113
Author(s):  
Yoshitake Kobayashi ◽  
◽  
Kazuo Yamafuji ◽  
Keyword(s):  
High Speed ◽  
Fuzzy Theory ◽  
Industrial Robot ◽  
Equations Of Motion ◽  
Industrial Robots ◽  
Load Estimation ◽  
Production Lines ◽  
Compensation Control ◽  
High Payload ◽  
Better Than

It is widely recognized that the industrial robots used in production lines or in other engineering fields are installed with comparatively higher rated actuators and have higher rigidity than required, whereas they have too small payload capacity. To achieve high speed drive and accurate positioning under a high payload is indispensable for an advanced industrial robot. In order to increase payload/deadweight ratio without losing high speed driving and accurate control of robots, the nonlinear terms in the equations of motion relating to their load and attitude must be well compensated. The authors have developed and examined two kinds of load estimation and compensation control methods for a vertical-type manipulating robot, which are based on gravity estimation-compensation and fuzzy-set theory. It is confirmed experimentally that although both compensating methods are useful, the fuzzy theory is much better than the gravity compensation method.

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