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 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 The future of industry with collaborative robots

2019 ◽  
Vol 299 ◽  
pp. 02008 ◽  
Author(s):  
Miriam Matúšová ◽  
Marcela Bučányová ◽  
Erika Hrušková
Keyword(s):  
Quality Of Life ◽  
Production Process ◽  
Large Range ◽  
Industrial Robot ◽  
Industrial Robots ◽  
User Requirements ◽  
Collaborative Robots ◽  
The Future ◽  
Collaborative Robot

Rapidly changing user requirements, improving of quality of life or increased safety at work are allarguments for introducing flexible automation that replaces strenuous or dangerous work. Industrial robots with adaptive directing are now deployed to most industries due to their large range of uses. Theirmain addition for manufacturing is to eliminate downtime of complete operating and manipulating production process, to make easier all particular operation in accordance with ergonomics. The paper describescomparing between conventional industrial robot and collaborative robot.

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 Monitoring Selective Logging in a Pine-Dominated Forest in Central Germany with Repeated Drone Flights Utilizing A Low Cost RTK Quadcopter

Drones ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 11 ◽  
Author(s):  
Christian Thiel ◽  
Marlin M. Müller ◽  
Christian Berger ◽  
Felix Cremer ◽  
Clémence Dubois ◽  
...  
Keyword(s):  
Low Cost ◽  
Three Dimensional ◽  
Point Clouds ◽  
Selective Logging ◽  
Ease Of Use ◽  
Tree Level ◽  
Unmanned Aerial Systems ◽  
3D Point Clouds ◽  
Individual Trees ◽  
New Generation

There is no doubt that unmanned aerial systems (UAS) will play an increasing role in Earth observation in the near future. The field of application is very broad and includes aspects of environmental monitoring, security, humanitarian aid, or engineering. In particular, drones with camera systems are already widely used. The capability to compute ultra-high-resolution orthomosaics and three-dimensional (3D) point clouds from UAS imagery generates a wide interest in such systems, not only in the science community, but also in industry and agencies. In particular, forestry sciences benefit from ultra-high-structural and spectral information as regular tree level-based monitoring becomes feasible. There is a great need for this kind of information as, for example, due to the spring and summer droughts in Europe in the years 2018/2019, large quantities of individual trees were damaged or even died. This study focuses on selective logging at the level of individual trees using repeated drone flights. Using the new generation of UAS, which allows for sub-decimeter-level positioning accuracies, a change detection approach based on bi-temporal UAS acquisitions was implemented. In comparison to conventional UAS, the effort of implementing repeated drone flights in the field was low, because no ground control points needed to be surveyed. As shown in this study, the geometrical offset between the two collected datasets was below 10 cm across the site, which enabled a direct comparison of both datasets without the need for post-processing (e.g., image matching). For the detection of logged trees, we utilized the spectral and height differences between both acquisitions. For their delineation, an object-based approach was employed, which was proven to be highly accurate (precision = 97.5%; recall = 91.6%). Due to the ease of use of such new generation, off-the-shelf consumer drones, their decreasing purchase costs, the quality of available workflows for data processing, and the convincing results presented here, UAS-based data can and should complement conventional forest inventory practices.

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.

ALGORITHMS FOR IMPROVING SPEED AND ACCURACY OF AUTOMATED 3D RECONSTRUCTION WITH A DEPTH CAMERA MOUNTED ON AN INDUSTRIAL ROBOT

2021 ◽  
pp. 1-13
Author(s):  
Rishi K. Malhan ◽  
Rex Jomy Joseph ◽  
Prahar Bhatt ◽  
Brual Shah ◽  
Satyandra K. Gupta
Keyword(s):  
3D Reconstruction ◽  
Cycle Time ◽  
Industrial Robot ◽  
Low Cost ◽  
Industrial Robots ◽  
Depth Camera ◽  
Reconstruction Process ◽  
Depth Cameras ◽  
Camera Location ◽  
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 pointclouds 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.

SAFETY AND RISK ASSESSMENT AT AUTOMATED WORKPLACE

2018 ◽  
pp. 78-84
Author(s):  
Marek Vagas
Keyword(s):  
Risk Assessment ◽  
Industrial Robot ◽  
Industrial Robots ◽  
Added Value ◽  
Growing Up ◽  
Target Setting ◽  
Clear View ◽  
General Safety

Urgency of the research. Automated workplaces are growing up in present, especially with implementation of industrial robots with feasibility of various dispositions, where safety and risk assessment is considered as most important issues. Target setting. The protection of workers must be at the first place, therefore safety and risk assessment at automated workplaces is most important problematic, which had presented in this article Actual scientific researches and issues analysis. Actual research is much more focused at standard workplaces without industrial robots. So, missing of information from the field of automated workplaces in connection with various dispositions can be considered as added value of article. Uninvestigated parts of general matters defining. Despite to lot of general safety instructions in this area, still is missed clear view only at automated workplace with industrial robots. The research objective. The aim of article is to provide general instructions directly from the field of automated workplaces The statement of basic materials. For success realization of automated workplace is good to have a helping hand and orientation requirements needed for risk assessment at the workplace. Conclusions. The results published in this article increase the awareness and information of such automated workplaces, together with industrial robots. In addition, presented general steps and requirements helps persons for better realization of these types of workplaces, where major role takes an industrial robot. Our proposed solution can be considered as relevant base for risk assessment such workplaces with safety fences or light barriers.

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