scholarly journals Interactive, Collaborative Robots: Challenges and Opportunities

2018 ◽  
Author(s):  
Danica Kragic ◽  
Joakim Gustafson ◽  
Hakan Karaoguz ◽  
Patric Jensfelt ◽  
Robert Krug
Keyword(s):  
Manufacturing Industry ◽  
Industrial Robot ◽  
Industrial Robots ◽  
Service Robots ◽  
Natural Interaction ◽  
Current State ◽  
Challenges And Opportunities ◽  
Important Open Problem ◽  
In The Beginning ◽  
Office Environments

Robotic technology has transformed manufacturing industry ever since the first industrial robot was put in use in the beginning of the 60s. The challenge of developing flexible solutions where production lines can be quickly re-planned, adapted and structured for new or slightly changed products is still an important open problem. Industrial robots today are still largely preprogrammed for their tasks, not able to detect errors in their own performance or to robustly interact with a complex environment and a human worker. The challenges are even more serious when it comes to various types of service robots. Full robot autonomy, including natural interaction, learning from and with human, safe and flexible performance for challenging tasks in unstructured environments will remain out of reach for the foreseeable future. In the envisioned future factory setups, home and office environments, humans and robots will share the same workspace and perform different object manipulation tasks in a collaborative manner. We discuss some of the major challenges of developing such systems and provide examples of the current state of the art.

Adaptive Industrial Robots Using Machine Vision

2018 ◽  
Author(s):  
Vladimir Kuts ◽  
Tauno Otto ◽  
Toivo Tähemaa ◽  
Khuldoon Bukhari ◽  
Tengiz Pataraia
Keyword(s):  
Machine Vision ◽  
Manufacturing Industry ◽  
Industrial Robot ◽  
Industrial Robots ◽  
Engineering Industry ◽  
Test Environment ◽  
Operation System ◽  
Robotic Cells ◽  
Self Learning ◽  
Human Robot Collaboration

The use of industrial robots in modern manufacturing scenarios is a rising trend in the engineering industry. Currently, industrial robots are able to perform pre-programmed tasks very efficiently irrespective of time and complexity. However, often robots encounter unknown scenarios and to solve those, they need to cooperate with humans, leading to unnecessary downtime of the machine and the need for human intervention. The main aim of this study is to propose a method to develop adaptive industrial robots using Machine Learning (ML)/Machine Vision (MV) tools. The proposed method aims to reduce the effort of re-programming and enable self-learning in industrial robots. The elaborated online programming method can lead to fully automated industrial robotic cells in accordance with the human-robot collaboration standard and provide multiple usage options of this approach in the manufacturing industry. Machine Vision (MV) tools used for online programming allow industrial robots to make autonomous decisions during sorting or assembling operations based on the color and/or shape of the test object. The test setup consisted of an industrial robot cell, cameras and LIDAR connected to MATLAB through a Robot Operation System (ROS). The online programming tests and simulations were performed using Virtual/Augmented Reality (VR/AR) toolkits together with a Digital Twin (DT) concept, to test the industrial robot program on a digital object before executing it on the real object, thus creating a safe and secure test environment.

scholarly journals Development Status and Trend of Industrial Robot in China

2021 ◽  
Vol 5 (2) ◽  
pp. p49
Author(s):  
Gao Hang
Keyword(s):  
Artificial Intelligence ◽  
Manufacturing Industry ◽  
Industrial Robot ◽  
Development Trend ◽  
Industrial Robots ◽  
Continuous Development ◽  
Industrial Robotics ◽  
Development Status ◽  
The World ◽  
The Times

With the continuous development of the times, technology is flourishing and the world is entering the era of artificial intelligence, industrial robots will replace humans as the backbone of the manufacturing industry. The continuous development and application of industrial robotics is conducive to building a new advantage for China’s manufacturing, promoting the transformation and upgrading of China’s industry, accelerating the construction of China’s manufacturing power, and making an important contribution to China’s economic development. Based on this, the article describes the current situation of industrial robots in China, the challenges faced, and the future development trend.

Research on Kinematics Simulation and Analysis of 6 Revolute Joint Serial Industrial Robot

2011 ◽  
Vol 308-310 ◽  
pp. 2074-2077
Author(s):  
Ke Li ◽  
Duan Neng Li ◽  
Ling Lin Kong
Keyword(s):  
Manufacturing Industry ◽  
Industrial Robot ◽  
Strong Support ◽  
Industrial Robots ◽  
Mathematical Software ◽  
Kinematics Analysis ◽  
Revolute Joint ◽  
Automated Production ◽  
Kinematics Simulation

Industrial robots are getting more and more applications in modern automated production, it’s a strong support to the development of manufacturing industry. Nowadays many domestic enterprises begin to do the robot R&D. We use mathematical software Matlab to make kinematics simulation of IRB1410 robot and succeed in verifying the justifiability of kinematics analysis.

Statistical Learning Algorithms to Compensate Slow Visual Feedback for Industrial Robots

2014 ◽  
Vol 137 (3) ◽  
Author(s):  
Cong Wang ◽  
Chung-Yen Lin ◽  
Masayoshi Tomizuka
Keyword(s):  
Real Time ◽  
Statistical Learning ◽  
Visual Feedback ◽  
Manufacturing Industry ◽  
Industrial Robot ◽  
Sampling Rate ◽  
Robot Vision ◽  
Industrial Applications ◽  
Industrial Robots ◽  
Imaging Geometry

Vision guided robots have become an important element in the manufacturing industry. In most current industrial applications, vision guided robots are controlled by a look-then-move method. This method cannot support many new emerging demands which require real-time vision guidance. Challenge comes from the speed of visual feedback. Due to cost limit, industrial robot vision systems are subject to considerable latency and limited sampling rate. This paper proposes new algorithms to address this challenge by compensating the latency and slow sampling of visual feedback so that real-time vision guided robot control can be realized with satisfactory performance. Statistical learning methods are developed to model the pattern of target's motion adaptively. The learned model is used to recover visual measurement from latency and slow sampling. The imaging geometry of the camera and all-dimensional motion of the target are fully considered. Tests are conducted to provide evaluation from different aspects.

scholarly journals CREATION AND ANALYSIS OF THE STRUCTURE OF INTELLECTUAL DIAGNOSTIC SYSTEM OF INDUSTRIAL ROBOTS APPLIED IN EQUIPMENT MANUFACTURING

2021 ◽  
Vol 11 (07) ◽  
pp. 72-80
Author(s):  
Banovsha Valiyeva Banovsha Valiyeva
Keyword(s):  
Power Supply ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Industrial Robot ◽  
Diagnostic System ◽  
Industrial Robots ◽  
Main Research ◽  
Current State

Based on comparative analysis of the current state of the issue, the main research tasks of the study were put in order to solve the current problem. The structure of the automated diagnostics system of typical industrial robots applied in flexible manufacturing systems of the appliance industry has been proposed. , The scheme of stable diagnostics of industrial robots applied in the flexible manufacturing system and also their mechatronics parts was proposed. To ensure the sustainability of the automated diagnostics of the industrial robot operating in the robotics complex, a scheme consisting of general diagnostic testing tools of the automated process control system, means of replacing faulty elements and diagnostic decision-making subsystem has been proposed. The automation scheme of the diagnostic system of technological equipment controlled by digital software, which is serviced by industrial robots in the flexible manufacturing system under study, has been proposed. The analysis of the proposed architecture of the industrial robot and its mechatronics diagnostic system was carried out. In one work turn, for the automated diagnosis of mechatronic parts of an industrial robot, the accuracy of its operations, hardness, power supply, oil content of mechanical parts, etc. requirements for verification of technical procedures have been identified. For the analysis of the architecture of the control and diagnostic system of the research object, the regulation of linear and angular displacements of the industrial robot at hierarchical levels (level 1), software testing of the current state of its execution mechanisms (level 2), automated workstation and control node connection is provided (level 3). For the automatic diagnostics of the industrial robot, the requirements for the sounds generated between the kinematic displacement points are in the accepted sound range, the vibrations in the kinematic displacement points are in the required range, and the power supply is in the required range. Automation of control and monitoring functions of the diagnostic system with the help of the server of the local industrial network of the industrial robot performing service functions in production is provided by SCADA. Keywords: instrumentation industry, flexible manufacturing system, diagnostic system, industrial robot, mechatronics part.

scholarly journals Industrial Robot Technology and Its Typical Application Analysis

2018 ◽  
Vol 2 (3) ◽  
Author(s):  
Jiangong Chen
Keyword(s):  
Manufacturing Industry ◽  
Manufacturing System ◽  
Manufacturing Sector ◽  
Industrial Robot ◽  
Industrial Robots ◽  
Typical Application ◽  
New Development ◽  
Application Analysis ◽  
Robot Technology ◽  
Near Future

With the rising of the manufacturing industry in our neighboring countries, China no longer has advantages in manufacturing sector. New development situation and tasks make it extremely urgent to establish a new manufacturing system featuring standardization, modularization, network and intelligence. Therefore, research on industrial robot technology is of great practical significance. It is believed that in the near future, industrial robots will become an important driving force for the transformation and upgrade of China’s manufacturing industry.

scholarly journals International Positive Youth Development: Challenges and Opportunities in Policy and Practice

2021 ◽  
Vol 16 (2-3) ◽  
pp. 1-12
Author(s):  
Lisa A. Lauxman ◽  
Thomas Archibald ◽  
Elizabeth M. Dowling ◽  
Cassandra Jessee
Keyword(s):  
Youth Development ◽  
Positive Youth Development ◽  
Evidence Base ◽  
Positive Development ◽  
Policy And Practice ◽  
Organizational Contexts ◽  
Current State ◽  
Thought Leader ◽  
Challenges And Opportunities ◽  
In The Beginning

This special issue of the Journal of Youth Development on international positive youth development brings together diverse perspectives of research, practice, and policy regarding the challenges and opportunities facing international efforts to promote the positive development of youth. To represent a plurality of perspectives on international PYD, the authors sought to represent a variety of continents, countries, genders, races, ethnicities, sectors, and levels of experience with publishing. There is also variety in the types of articles such as case studies, presentations of frameworks and curricula, letter-style commentary by youth, and cutting-edge research methodologies and studies. A few key themes frame the volume, including (a) diversity in definitions of youth and operationalizations of PYD; (b) the multifaceted and multidimensional ways in which PYD is integrated into different sectors, domains, and types of programmatic and organizational contexts; and (c) the importance of and need for an accessible evidence base of PYD informed by rigorous science. Thought leader commentaries are interspersed in the beginning, middle, and end of the issue. The articles represent the current state of the field of PYD internationally with an outlook toward the future and how the integration of PYD research and practice can enhance contributions of youth to equity, social justice, and democracy.

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.

A Polishing Robot Force Control System Based on Time Series Data in Industrial Internet of Things

2021 ◽  
Vol 21 (2) ◽  
pp. 1-22
Author(s):  
Chen Zhang ◽  
Zhuo Tang ◽  
Kenli Li ◽  
Jianzhong Yang ◽  
Li Yang
Keyword(s):  
Time Series ◽  
Control System ◽  
Force Control ◽  
Time Series Data ◽  
Industrial Robot ◽  
Industrial Robots ◽  
Series Data ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Force Control System

Installing a six-dimensional force/torque sensor on an industrial arm for force feedback is a common robotic force control strategy. However, because of the high price of force/torque sensors and the closedness of an industrial robot control system, this method is not convenient for industrial mass production applications. Various types of data generated by industrial robots during the polishing process can be saved, transmitted, and applied, benefiting from the growth of the industrial internet of things (IIoT). Therefore, we propose a constant force control system that combines an industrial robot control system and industrial robot offline programming software for a polishing robot based on IIoT time series data. The system mainly consists of four parts, which can achieve constant force polishing of industrial robots in mass production. (1) Data collection module. Install a six-dimensional force/torque sensor at a manipulator and collect the robot data (current series data, etc.) and sensor data (force/torque series data). (2) Data analysis module. Establish a relationship model based on variant long short-term memory which we propose between current time series data of the polishing manipulator and data of the force sensor. (3) Data prediction module. A large number of sensorless polishing robots of the same type can utilize that model to predict force time series. (4) Trajectory optimization module. The polishing trajectories can be adjusted according to the prediction sequences. The experiments verified that the relational model we proposed has an accurate prediction, small error, and a manipulator taking advantage of this method has a better polishing effect.

scholarly journals Comparative Analysis of the Life-Cycle Cost of Robot Substitution: A Case of Automobile Welding Production in China

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 226
Author(s):  
Xuyang Zhao ◽  
Cisheng Wu ◽  
Duanyong Liu
Keyword(s):  
Life Cycle ◽  
Systems Engineering ◽  
Life Cycle Cost ◽  
Manufacturing Systems ◽  
Large Scale ◽  
Cost Allocation ◽  
Industrial Robot ◽  
Case Analysis ◽  
Industrial Robots ◽  
Analysis Model

Within the context of the large-scale application of industrial robots, methods of analyzing the life-cycle cost (LCC) of industrial robot production have shown considerable developments, but there remains a lack of methods that allow for the examination of robot substitution. Taking inspiration from the symmetry philosophy in manufacturing systems engineering, this article further establishes a comparative LCC analysis model to compare the LCC of the industrial robot production with traditional production at the same time. This model introduces intangible costs (covering idle loss, efficiency loss and defect loss) to supplement the actual costs and comprehensively uses various methods for cost allocation and variable estimation to conduct total cost and the cost efficiency analysis, together with hierarchical decomposition and dynamic comparison. To demonstrate the model, an investigation of a Chinese automobile manufacturer is provided to compare the LCC of welding robot production with that of manual welding production; methods of case analysis and simulation are combined, and a thorough comparison is done with related existing works to show the validity of this framework. In accordance with this study, a simple template is developed to support the decision-making analysis of the application and cost management of industrial robots. In addition, the case analysis and simulations can provide references for enterprises in emerging markets in relation to robot substitution.

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