scholarly journals Research on manipulator control based on deep reinforcement learning

2021 ◽  
Vol 2078 (1) ◽  
pp. 012068
Author(s):  
Haoyu Chi
Keyword(s):  
Artificial Intelligence ◽  
Reinforcement Learning ◽  
Industrial Development ◽  
Intelligent Robot ◽  
Gradual Improvement ◽  
Research Status ◽  
Existing Problems ◽  
Intelligent Robots ◽  
Robot Technology ◽  
Manipulator Control

Abstract With the gradual improvement of the influence of intelligent robots in production and life, it has greatly facilitated people's production and life. Therefore, people's requirements for intelligent robots are also increasing, and are developing towards more humanization and intelligence. However, at present, there are still many imperfections in the field of intelligent robot technology in China. In order to solve the problems in work, we must further strengthen the research on artificial intelligence theory and robot technology. Only in this way can we realize the all-round development of intelligent robot system. So this paper will discuss the deep reinforcement learning in the theory of artificial intelligence, and explain its basic theory, research status, existing problems and future development direction. Moreover, under the background of the overall improvement of the current industrial development level, this paper will also talk about the manipulator widely used in the industrial field and the research status of manipulator control based on deep reinforcement learning, hoping to provide effective help for the development of related fields.

The Research and Application of Artificial Intelligence in the Field of Intelligent Robot

2014 ◽  
Vol 898 ◽  
pp. 763-766
Author(s):  
Zhi Hao Li
Keyword(s):  
Artificial Intelligence ◽  
Environmental Changes ◽  
Vision System ◽  
Mineral Exploration ◽  
Intelligent Robot ◽  
Application Range ◽  
Intelligent Robots ◽  
External Data ◽  
Wide Range ◽  
Artificial Intelligence Application

The research and application of artificial intelligence has a very wide range in intelligent robot field. Intelligent robot can not only make use of artificial intelligence gain access to external data, information, (such as stereo vision system, face recognition and tracking, etc.), and then deal with it so as to exactly describe external environment, and complete a task independently, owing the ability of learning knowledge, but also have self-many kinds of artificial intelligence like judgment and decision making, processing capacity and so on. It can make corresponding decision according to environmental changes. Its application range is expanding. In deep sea exploration, star exploration, mineral exploration, heavy pollution, domestic service, entertainment clubs, health care and so on, the figure of intelligent robots artificial intelligence application can all be seen.

scholarly journals Empirical Study on the Factors Influencing Process Innovation When Adopting Intelligent Robots at Small- and Medium-Sized Enterprises—The Role of Organizational Supports

Information ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 315 ◽  
Author(s):  
Moon Choi ◽  
Sanghyun Kim ◽  
Hyunsun Park
Keyword(s):  
Structural Equation ◽  
Manufacturing Industry ◽  
Process Innovation ◽  
Equation Modeling ◽  
Intelligent Robot ◽  
Research Model ◽  
Intelligent Robots ◽  
Organizational Supports ◽  
Robot Technology ◽  
Technology Benefits

Robot technology at small- and medium-sized enterprises has become a crucial part of current business operations. Beginning with the manufacturing industry, more industries than ever before have recently begun making use of robot technology to increase operational efficiency and productivity. However, prior studies regarding innovation related to intelligent robot use have been limited to developing strategies for describing robot technologies in general. Therefore, we developed a research model for investigating process innovation as it relates to intelligent robots. Based on the literature, two variables of technology benefits (direct usefulness and indirect usefulness) and two constructs of environmental pressure (industry and government) were incorporated into the research model as key determinants of a firm’s process innovation. Furthermore, organizational supports as moderating variables were added to the relationship between technology benefits and process innovation. We collected 257 responses in managerial position at various firms in order to test the proposed hypotheses using structural equation modeling in the statistical software (AMOS 22.0). The results revealed that all variables have a significant impact on process innovation, as well as the moderator. The findings of this study provide theoretical and practical implications for process innovation based on intelligent robot technology.

Research on the Mechanical Head of Advanced Intelligent Robot

2014 ◽  
Vol 513-517 ◽  
pp. 4043-4046
Author(s):  
Ji Zheng Yan ◽  
Zhi Liang Wang ◽  
Yan Yan
Keyword(s):  
Artificial Intelligence ◽  
Facial Expression ◽  
Facial Expressions ◽  
Humanoid Robot ◽  
Control Points ◽  
Intelligent Robot ◽  
Coding System ◽  
Human Beings ◽  
Intelligent Robots ◽  
Robot Head

Whether industrial or civilian, advanced intelligent robots are the focus of Artificial Intelligence (AI), especially which have humanoid emotion and could show anthropomorphic facial expressions, so our research focuses on how to design a humanoid robot head to show emotion to human beings. In this paper, we successively discuss three issues. Issue 1: what are the approaches and theories to make robot have humanoid emotion? Issue 2: how robot to show anthropomorphic facial expressions? Issue 3: what is the mechanical structure of the robot head? To issue 1, through analysis and comparison we choose Artificial Psychology as the means and guidance; To issue 2, we study Facial Coding System (FACS) and make innovative use, further optimize the combination of control points to construct facial expression; To issue 3, we divide the head into four parts, and each part could be driven by servos. Finally, we make a robot head according to the previous concept and design. Through experiments and correction, we achieve the expected goals of advanced intelligent robots.

scholarly journals A Review on Human-Computer Interaction and Intelligent Robots

2020 ◽  
Vol 19 (01) ◽  
pp. 5-47 ◽  
Author(s):  
Fuji Ren ◽  
Yanwei Bao
Keyword(s):  
Artificial Intelligence ◽  
Human Computer Interaction ◽  
Human Interaction ◽  
Intelligent Robot ◽  
Intelligent Robots ◽  
Hardware System ◽  
Robot Systems ◽  
Computer Interaction

In the field of artificial intelligence, human–computer interaction (HCI) technology and its related intelligent robot technologies are essential and interesting contents of research. From the perspective of software algorithm and hardware system, these above-mentioned technologies study and try to build a natural HCI environment. The purpose of this research is to provide an overview of HCI and intelligent robots. This research highlights the existing technologies of listening, speaking, reading, writing, and other senses, which are widely used in human interaction. Based on these same technologies, this research introduces some intelligent robot systems and platforms. This paper also forecasts some vital challenges of researching HCI and intelligent robots. The authors hope that this work will help researchers in the field to acquire the necessary information and technologies to further conduct more advanced research.

Reinforcement Learning for Cloud Computing Digital Library

2014 ◽  
Vol 571-572 ◽  
pp. 105-108
Author(s):  
Lin Xu
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Reinforcement Learning ◽  
Digital Library ◽  
Learning Algorithms ◽  
Experimental Results ◽  
Current Status ◽  
Self Learning ◽  
New Framework

This paper proposes a new framework of combining reinforcement learning with cloud computing digital library. Unified self-learning algorithms, which includes reinforcement learning, artificial intelligence and etc, have led to many essential advances. Given the current status of highly-available models, analysts urgently desire the deployment of write-ahead logging. In this paper we examine how DNS can be applied to the investigation of superblocks, and introduce the reinforcement learning to improve the quality of current cloud computing digital library. The experimental results show that the method works more efficiency.

Research Status and Prospect of Recycling of Waste Concrete for Sustainable Development

2013 ◽  
Vol 791-793 ◽  
pp. 335-337
Author(s):  
Chao You ◽  
Guan Jun Liang ◽  
Yong Xiang Zhu
Keyword(s):  
Sustainable Development ◽  
Development Strategy ◽  
Engineering Application ◽  
Modern Society ◽  
Recycled Concrete ◽  
Research Status ◽  
Existing Problems ◽  
Waste Concrete ◽  
Drying Up ◽  
Concrete Recycling

In modern society, the development of urbanization process makes the increasing waste concrete and natural aggregate resource increasingly drying up. Recycled concrete research has become the inevitable development of society. This paper briefly introduces the research status of waste concrete recycling, and points out the current waste engineering application research status and existing problems of the concrete utilization. The industrialization of recycled concrete is in accordance with the needs of environmental protection and sustainable development strategy.

The Correlation Between the Development of IoT Robot Technology and the Effect of Economic Development

2021 ◽  
Author(s):  
Haiting Huang
Keyword(s):  
Economic Development ◽  
Internet Of Things ◽  
System Structure ◽  
Ultra Wideband ◽  
The Internet ◽  
Intelligent Robot ◽  
Traditional Technology ◽  
Robot Technology ◽  
Internet Of Things Technology ◽  
The Internet Of Things

In order to explore the application of IoT technology in robots and the promotion of IoT robot technology to the economy, by comparing traditional technology and IoT intelligent robot technology, this article combines it with economic development to analyze the promotion of IoT robot to economic development. Based on the ultra-wideband ranging method, this paper designs an ultra-wideband radio frequency positioning system and applies it to the robot’s positioning process. Moreover, this article combines the application of robots in the current social and economic development to construct the system structure, and conducts functional analysis with manufacturing robots and monitoring robots as the main body. After constructing an intelligent robot based on the Internet of Things technology, by comparing the traditional technology and the intelligent robot technology of the Internet of Things, this article combines it with economic development to analyze the promotion of IoT robot to economic development. From the analysis results of this article, it can be seen that the advancement of IoT robot technology can effectively promote economic development.

THE USE OF ARTIFICIAL INTELLIGENCE IN CORPORATE LAW AS A VIRTUAL ASSISTANT IN APPROVING EXTRAORDINARY TRANSACTIONS: A LOOK INTO THE FUTURE

2020 ◽  
pp. 44-49
Author(s):  
Ekaterina Zagrebaeva ◽  
Keyword(s):  
Artificial Intelligence ◽  
Virtual World ◽  
Reaction Rate ◽  
Corporate Law ◽  
Intelligent Robot ◽  
Public And Private ◽  
Legal Risk ◽  
Private Investments ◽  
Short Time ◽  
Special Order

In this article, the author analyzes the possibility of using artificial intelligence as a virtual assistant in making extraordinary transactions. The emergence of the latest information technology contains the potential for modernizing corporate law. The author notes that the development of information and computer technologies is largely due to public and private investments. Artificial intelligence can become a tool for making decisions with a faster reaction rate to an event. Artificial intelligence is the next stage in the development of robotics, giving the robot the ability to independently make a “new” decision that was not previously included in the program. The advantage of using artificial intelligence in this case is its ability to process an incredible amount of data (information) in a short time. The article emphasizes that the purpose of artificial intelligence is to simplify human activities. Thus, it seems possible to involve an intelligent robot as a virtual assistant in the process of coordinating transactions made by legal entities in a special order. At the same time, the author notes that trusting an artificial intelligence operating in the virtual world to vote on the approval of a transaction, which may entail a significant change in the scale of society’s activities up to its termination, carries a significant legal risk, both for the society itself and for members of its governing bodies. The person who is a member of the governing body of the legal entity must vote on the approval of such transactions.

scholarly journals A Heuristic Evolutionary Algorithm of UAV Path Planning

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Zhangjie Fu ◽  
Jingnan Yu ◽  
Guowu Xie ◽  
Yiming Chen ◽  
Yuanhang Mao
Keyword(s):  
Energy Consumption ◽  
Evolutionary Algorithm ◽  
Rapid Development ◽  
Optimal Path ◽  
Battery Life ◽  
Intelligent Robot ◽  
Urgent Problem ◽  
Intelligent Robots ◽  
Aerial Vehicle ◽  
The Cost

With the rapid development of the network and the informatization of society, how to improve the accuracy of information is an urgent problem to be solved. The existing method is to use an intelligent robot to carry sensors to collect data and transmit the data to the server in real time. Many intelligent robots have emerged in life; the UAV (unmanned aerial vehicle) is one of them. With the popularization of UAV applications, the security of UAV has also been exposed. In addition to some human factors, there is a major factor in the UAV’s endurance. UAVs will face a problem of short battery life when performing flying missions. In order to solve this problem, the existing method is to plan the path of UAV flight. In order to find the optimal path for a UAV flight, we propose three cost functions: path security cost, length cost, and smoothness cost. The path security cost is used to determine whether the path is feasible; the length cost and smoothness cost of the path directly affect the cost of the energy consumption of the UAV flight. We proposed a heuristic evolutionary algorithm that designed several evolutionary operations: substitution operations, crossover operations, mutation operations, length operations, and smoothness operations. Through these operations to enhance our build path effect. Under the analysis of experimental results, we proved that our solution is feasible.

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