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.

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 FUTURE MODERN RETAIL SOLUTIONS AND SHOPPER EXPERIENCE

2018 ◽  
Vol 18 (1) ◽  
pp. 215-228
Author(s):  
Viorica JELEV
Keyword(s):  
Artificial Intelligence ◽  
World Trade ◽  
Manufacturing Industry ◽  
Job Creation ◽  
Modern Technology ◽  
Sales Growth ◽  
Focus Attention ◽  
Buying Behavior ◽  
The World ◽  
Main Driver

Artificial intelligence and automation will radically change the world, but if we want society to benefit from these changes, we need to properly prepare ourselves through an education tailored to new times. Until the last century, it was the manufacturing industry that created jobs. But today, as a result of the existence of artificial intelligence, robots, the manufacturing industry is no longer the main driver of job creation but the service industry.As competition grows, brand manager imagination needs to work, and sales growth solutions need to focus on customer focus attention. It is a difficult task if all brands offer discounts in the malls they are in, and the announcement of differentiation is put to the attention of specialists who offer solutions for fun of any kind for the clients. The article aims to present the evolution of world trade in recent years and the various ways of diversion invented by retailers to keep customers in store chains longer time for them to buy more.The conclusion of this article will focus on the idea of future trade based on modern technology inside stores, which will lead to profound changes in customer buying behavior.

scholarly journals A review on control systems hardware and software for robots of various scale and purpose. Part 1. Industrial robotics

2019 ◽  
Vol 7 (5) ◽  
pp. 30-46 ◽  
Author(s):  
A. M. Romanov
Keyword(s):  
Control System ◽  
Fault Tolerance ◽  
Control Systems ◽  
Intelligent Control ◽  
Industrial Robot ◽  
Cloud Service ◽  
Point Of View ◽  
Industrial Robots ◽  
Robotic Systems ◽  
Industrial Robotics

A review of robotic systems is presented. The paper analyzes applied hardware and software solutions and summarizes the most common block diagrams of control systems. The analysis of approaches to control systems scaling, the use of intelligent control, achieving fault tolerance, reducing the weight and size of control system elements belonging to various classes of robotic systems is carried out. The goal of the review is finding common approaches used in various areas of robotics to build on their basis a uniform methodology for designing scalable intelligent control systems for robots with a given level of fault tolerance on a unified component base. This part is dedicated to industrial robotics. The following conclusions are made: scaling in industrial robotics is achieved through the use of the modular control systems and unification of main components; multiple industrial robot interaction is organized using centralized global planning or the use of previously simulated control programs, eliminating possible collisions in working area; intellectual technologies in industrial robotics are used primarily at the strategic level of the control system which is usually non-real time, and in some cases even implemented as a remote cloud service; from the point of view of ensuring fault tolerance, the industrial robots developers are primarily focused on the early prediction of faults and the planned decommissioning of the robots, and are not on highly-avaliability in case of failures; industrial robotics does not impose serious requirements on the dimensions and weight of the control devices.

Fuzzy Logic Based Path Planning for Industrial Robot

2020 ◽  
pp. 355-364
Author(s):  
Supriya Sahu ◽  
Bibhuti Bhusan Choudhury
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Control System ◽  
Path Planning ◽  
Industrial Robot ◽  
Industrial Robots ◽  
The Other ◽  
Membership Functions ◽  
Fuzzy Logic Systems ◽  
Pick And Place

This article describes how industrial robots are generally used to perform different tasks in industries, such as pick and place, and many more operations in industries. Among these, pick and place is a very common and frequently used task. Path planning is the most important thing in order to make any process more economical. The main focus of the research is to design a fuzzy control system for path planning for industrial robots using artificial intelligence using fuzzy logic. For the analysis, ten different tasks are tested. For fuzzy logic systems, three membership functions are analyzed and compared to find the best result. From the research, it has been found that a Gaussian membership function gives more accurate result in comparison to the other two membership functions.

scholarly journals COMMERCIALIZATION OF COPYRIGHT CONTENT THROUGH DIGITAL PLATFORMS IN INDONESIA

2019 ◽  
Vol 1 (01) ◽  
pp. 1-7
Author(s):  
Tasya Safiranita Ramli ◽  
Ahmad M. Ramli ◽  
Rika Ratna Permata ◽  
Danrivanto Budhijanto
Keyword(s):  
Artificial Intelligence ◽  
Genetic Engineering ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Internet Technology ◽  
Digital Innovation ◽  
Digital Platforms ◽  
The World ◽  
New Business ◽  
World Industry

With the new advances in the Industrial Revolution 4.0 era, which were initiated by artificial intelligence coupled with genetic engineering and nanotechnology, changes will occur in a very fast period of time and result in an impact on the economic industry and also governance in the presence of new business that was born of innovators to create strategies through digital platforms. In Indonesia, digital innovation is not only in one area, but also in the fields of education, food, health, which is also used as a new law in government that supports the Industrial Revolution 4.0 era. These developments also affected the world industry. The birth of the term Industrial Revolution 4.0 was a continuation of the previous industrial revolution. The Industrial Revolution 4.0 is an amalgamation of an optimized manufacturing industry with the latest internet technology.

scholarly journals Survey on artificial intelligence algorithms used in industrial robotics

2020 ◽  
Vol 10 (4) ◽  
pp. 194-205
Author(s):  
Rabab Benotsmane ◽  
László Dudás ◽  
György Kovács
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Industrial Sector ◽  
Machine Learning Algorithms ◽  
Industrial Robots ◽  
New Paradigm ◽  
Robotic Arms ◽  
Industrial Robotics ◽  
Main Target ◽  
Learning Capabilities

Nowadays, in the age of Industry 4.0 the Artificial Intelligence (AI) and Machine Learning capabilities have important role in the implementation of this new paradigm in the industrial sector. Especially in industrial robotics technology where the main target is improving the productivity, which requires the improvement on the rigid, inflexible capabilities of industrial robots. This article presents an overview of AI algorithms used in industrial robotics. In the first part of the article an overview about the Machine Learning algorithms used for industrial robots will be discussed. In the second part of the study we will introduce the most important AI algorithms used to optimize and improve the trajectory of robotic arms.

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.

On Characteristics and Development Trend of Advanced Manufacturing Technology

2013 ◽  
Vol 712-715 ◽  
pp. 3195-3198
Author(s):  
Huan Yun Wang ◽  
Li Jing Diao
Keyword(s):  
National Economy ◽  
Manufacturing Industry ◽  
Development Trend ◽  
Manufacturing Technology ◽  
Advanced Manufacturing Technology ◽  
Advanced Manufacturing ◽  
Economic Competition ◽  
The World

Manufacturing industry is the foundation of national economy and an important manifestation of the comprehensive national strength. The economic competition in the world is mainly the competition of the manufacturing industry. This paper analyzes the importance of advanced manufacturing technology, introduces its concept and characteristics and probe into its development trend.

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