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

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.

Research on manipulator control based on deep reinforcement learning

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.

Design and Analysis of Indoor Mobile Robot Positioning Technology

In the field of mobile robot technology research, positioning technology is one of the core technologies, so it has been widely concerned in the field of industry. Due to the limitation of space, indoor mobile robots often have a high demand for their own position confirmation in the process of operation. Therefore, exploration based on positioning technology is very important for the further development of indoor mobile robots. Based on the research on the positioning technology of wheeled indoor mobile robot, this paper will make an effective evaluation on the future development direction of indoor mobile robot technology.

Recent developments and potential of robotics in plant eco-phenotyping

Automated acquisition of plant eco-phenotypic information can serve as a decision-making basis for precision agricultural management and can also provide detailed insights into plant growth status, pest management, water and fertilizer management for plant breeders and plant physiologists. Because the microscopic components and macroscopic morphology of plants will be affected by the ecological environment, research on plant eco-phenotyping is more meaningful than the study of single-plant phenotyping. To achieve high-throughput acquisition of phenotyping information, the combination of high-precision sensors and intelligent robotic platforms have become an emerging research focus. Robotic platforms and automated systems are the important carriers of phenotyping monitoring sensors that enable large-scale screening. Through the diverse design and flexible systems, an efficient operation can be achieved across a range of experimental and field platforms. The combination of robot technology and plant phenotyping monitoring tools provides the data to inform novel artificial intelligence (AI) approaches that will provide stepping stones for new research breakthroughs. Therefore, this article introduces robotics and eco-phenotyping and examines research significant to this novel domain of plant eco-phenotyping. Given the monitoring scenarios of phenotyping information at different scales, the used intelligent robot technology, efficient automation platform, and advanced sensor equipment are summarized in detail. We further discuss the challenges posed to current research as well as the future developmental trends in the application of robot technology and plant eco-phenotyping. These include the use of collected data for AI applications and high-bandwidth data transfer, and large well-structured (meta) data storage approaches in plant sciences and agriculture.

An Expansion and Application of Human Coexistence Robot System Using Smart Devices

In the context of developing technologies for realizing a user-centric smart society, robot technology is gaining importance for responding to safety issues such as for those living alone and elderly persons. Therefore, in recent years, various robots have been developed to perform social exchanges with people in daily life. We also aim to develop a support system that can be easily used in everyday life through the application of smart device technology that is familiar to people. Therefore, in this paper, we discuss the process of developing robot partners according to various user needs, from the viewpoint of hardware and software development, as human coexistence robot partners. In addition, we show an example of the scalability and application of robot technology using smart devices. First, we describe our smart device-based robot partner system. Next, we describe the development of a robot partner comprising various modules. Finally, we present several examples of robot systems for social implementation and address the applicability of our proposed system.