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 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 Kinematic Analysis of 6 DOF Articulated Robotic Arm

2021 ◽  
pp. 1-5
Author(s):  
Aravinthkumar T ◽  
Suresh M ◽  
Vinod B
Keyword(s):  
Kinematic Analysis ◽  
Degrees Of Freedom ◽  
Material Handling ◽  
Manufacturing Sector ◽  
Industrial Robot ◽  
Research Work ◽  
Industrial Robots ◽  
Robot Arm ◽  
Articulated Robot ◽  
Increasing Demand

The abstract must be a precise and reflection of what is in your article. Manufacturing sector is moving towards industry 4.0 and demands a high end of automation in the process. In which industrial robots play a fundamental role for automating the processes such as pick and place, material handling, palletizing, welding, painting, assembly lines and many more endless applications. Increasing demand and necessity made more research on industrial robots, machine learning and artificial intelligence. Better kinematic analysis of robots leads to reliable, high precise and fast responsive system. But there is an absence of India based robot manufacturers to fulfil the rising demand. Again, this situation leads to a market for foreign robot makers instead of local players. Lack of knowledge in robotics, unavailability of robot parts and resources are pain points for this cause. As researchers in this domain and have a goal to resolve this issue by providing open source, easily accessible industrial robot technical resources to everyone. This research work focuses the design and development of 6 Degrees of Freedom articulated robot arm with kinematic analysis particularly forward and inverse kinematics.

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.

An integrated approach for implementation of agile manufacturing system in an Indian manufacturing industry

2018 ◽  
Vol 25 (4) ◽  
pp. 1106-1120 ◽  
Author(s):  
Rahul Sindhwani ◽  
Vasdev Malhotra
Keyword(s):  
Manufacturing Industry ◽  
Manufacturing System ◽  
Manufacturing Sector ◽  
Virtual Enterprise ◽  
Integrated Approach ◽  
Agile Manufacturing ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Content Type ◽  
Moora Method

Purpose The advent of globalization not only made the manufacturing sector highly competitive but also facilitated best-quality products. The trend is further augmented by e-Commerce which increases the penetration to the targeted customer with the easy availability of customized product. In this backdrop, Indian manufacturing industries are striving hard to seek out best systems which will yield maximum profitability. Time is ripe to realize the true potential of agile manufacturing system (AMS). Infusion of AMS in manufacturing industry will bring forth the elusive mix of customer needs and products at lowest possible cost. But adoption and implementation of AMS is a challenging task in itself. There are certain facilitators and criteria which not only facilitate the system but also help in the effective and smooth implementation of this system. The purpose of this paper is to identify the criteria to weightage and ranking to AMS facilitators. This study was carried out by different approaches, namely, entropy approach, multi-objective optimization on the basis of ratio analysis (MOORA) method, Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) analysis and a cross-sectional survey of manufacturing firms in India. Design/methodology/approach The criteria and facilitators are identified followed by the application of entropy approach, MOORA method and VIKOR analysis to study and analyze the criteria weight and provide the ranking to AMS facilitators. Findings The result of the entropy approach concludes that beneficiary and non-beneficiary criteria carry 48.43 and 51.56 percent weight, respectively. MOORA method and VIKOR analysis conclude that organization structure and virtual enterprise facilitators are carrying the first and second rank, respectively. Research limitations/implications This study is completed on the basis of responses from few experts from industry and academicians who may not reflect the attitude of entire industry community. Practical implications This research is expected to facilitate policy makers in government and industries to frame policies for optimum utilization of resources and infrastructure for better performance. This paper helps the researcher to do a case study on the implementation of AMS and then finally helps to society in getting the high-quality product in an easy way. Originality/value Integration of entropy approach, MOORA method and VIKOR analysis with identification of AMS criteria weightage and ranking to AMS facilitators has been recommended for an industry which is an innovative effort for the execution of AMS.

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 Investigation of the Dynamic Characteristics of the Manipulator of the Industrial Robot Technology

2019 ◽  
Vol 297 ◽  
pp. 02003
Author(s):  
Victor Butenko ◽  
Irina Davidova ◽  
Philipp Pastukhov ◽  
Tatyana Bagdasaryan
Keyword(s):  
Dynamic Characteristics ◽  
Industrial Robot ◽  
Industrial Robots ◽  
Control Action ◽  
Specific Design ◽  
Robot Technology ◽  
Control Forces ◽  
Technological Methods ◽  
Addition Formulas

The article describes the results of the study of dynamic characteristics of the manipulator of technological industrial robot. In addition, formulas for determining the forces of the control action on the links of the manipulator when performing specific technological methods of finishing the surfaces of the part are obtained. The influence of control forces on the functioning and technical capabilities of the manipulator of technological industrial robot is revealed. Standard layout schemes of manipulators of technological industrial robots were developed, and the analysis of their dynamic characteristics with the determination of the control action forces is carried out. This made it possible to develop and create a specific design of the robot for finishing turning and diamond smoothing of shaft surfaces in the structure of the automatic line.

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