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检索条件"任意字段=3rd International Conference on Robot Intelligence Technology and Applications"

共 6049 条记录，以下是11-20 订阅

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Application of DTW Attitude Matching Algorithm in Sports Training Trajectory Data 3

Application of DTW Attitude Matching Algorithm in Sports Tra...

引用

3rd international conference on Artificial intelligence and Autonomous robot Systems, AIARS 2024

作者： Su, Cunxing Yunnan Technology and Business University Kunming Yunnan China

ISBN: (纸本)9798350376173

Accurate identification and analysis of athletes' movements in sports training and competitions is crucial for improving athletic performance and preventing sports injuries. In today's society, the popularity of sports is getting higher and higher, and in competitive competitions, the individualized and diverse performance of athletes is becoming increasingly prominent. Therefore, it is particularly important to carry out reasonable and effective training for athletes. However, in practical applications, how to apply different pose matching algorithms to specific fields is still a rather complicated problem. This article will focus on the application of DTW (dynamic time warping) technology to simulate the body shape and posture characteristics in the sports state, and it is proved by experiments that the system can recognize the human posture at the fastest time of 2.1s, and the slowest time can reach 3.9s;the stability of the algorithm is above 0.8, which can ensure the stable operation of the system. © 2024 IEEE.

关键词： Trajectories

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Trajectory Planning of Industrial robot Based on Improved Radial Basis Function Neural Network 3

Trajectory Planning of Industrial Robot Based on Improved Ra...

引用

3rd international conference on robotics, Artificial intelligence and Intelligent Control (RAIIC)

作者： Li, Xiong Du, Yuyuan Qu, Dongxu Northeastern Univ Coll Informat Sci & Engn Shenyang Peoples R China

ISBN: (纸本)9798350352634;9798350352627

With the more and more extensive use of robot technology in industrial production, the trajectory planning requirements of industrial robots are constantly increasing. In order to solve the problem that the trajectory is difficult to fit due to the nonlinearity in the continuous trajectory planning of robot, this paper presents a trajectory planning method of industrial robots which combines RBF (radial basis function) neural network and PSO (particle swarm optimization) algorithm. When RBF neural network has fewer hidden layer nodes, PSO algorithm is used to optimize the connection weight and threshold of RBF neural network. Through simulation analysis, the RBF neural network before and after improvement is compared. The results show that compared with the trajectory planning algorithm before improvement, the PSO-RBF neural network has smaller error and stronger adaptability, which meets the expected requirements of industrial robot trajectory planning.

关键词： industrial robot trajectory planning RBF neural network PSO algorithm

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Multi-spherical robot formation control based on pigeon swarm optimization 3

Multi-spherical robot formation control based on pigeon swar...

引用

3rd international conference on robotics, Artificial intelligence and Intelligent Control (RAIIC)

作者： He, Xinyu Lu, Yuzhou Wang, Qiguan Lu, Haojie Southwest Univ Sci & Technol Sch Informat Engn Mianyang Sichuan Peoples R China Chongqing Univ Sch Big Data & Software Engn Chongqing Peoples R China

ISBN: (纸本)9798350352634;9798350352627

In order to realize tight formation control of spherical robots, a formation control method of multi-spherical robot system was proposed based on optimization of pigeon swarm algorithm. Based on the kinematics model of spherical robots, the roles of spherical robots were divided into leader and follower. A PID controller was designed for stability control in x and y direction channels. According to the desired position and velocity, a corresponding fitness function is uniformly set to optimize the optimal parameters of the formation controller. Finally, the stable control of the multi-spherical robot formation is realized in the simulation environment.

关键词： Multi-spherical robot system Tight formation control Pigeon swarm algorithm

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Construction of an Online English Essay Self-Scoring Model Based on Improved K-Means Algorithm 3

Construction of an Online English Essay Self-Scoring Model B...

引用

3rd international conference on Artificial intelligence and Autonomous robot Systems, AIARS 2024

作者： Zhang, Hanyue Xiong, Li School of Education and Foreign Languages Wuhan Donghu University Hubei Wuhan430212 China

ISBN: (纸本)9798350376173

English short essay questions play a crucial role in comprehensively evaluating students' English proficiency. Although paperless scoring methods and electronic correction methods have been used, ratings are still influenced by subjective factors, resulting in significant differences in scoring standards. The focus of this study is to introduce self-assessment techniques to construct an English essay self-assessment model to ensure consistency in the scoring criteria. In order to address the limitations of large training set data requirements and knowledge transfer breadth and depth faced by autonomous evaluation technology in practical applications, I adopted a new method based on expert assistance and successfully implemented a more feasible scoring model by integrating the K-means algorithm in artificial intelligence technology. This innovative solution provides valuable insights into overcoming the issue of consistency in grading and provides substantial direction and methods for developing an English essay self-assessment system. © 2024 IEEE.

关键词： Autonomous Assessment technology Electronic Grading English Writing Expert Assistance K-Means Algorithm

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Research on the Application of Computer Virtual Reality technology in Clothing Design 3

Research on the Application of Computer Virtual Reality Tech...

引用

3rd international conference on Artificial intelligence and Autonomous robot Systems, AIARS 2024

作者： Fei, Jing Li, Zhu Xiaoxiao, Xue Xia, Wang Kunming University Kunming China

ISBN: (纸本)9798350376173

Computer virtual reality technology is a kind of simulated information system that can create and experience information virtual world with computer as the medium. Through computer image real-time calculation, so as to simulate the virtual environment close to the reality scene, users can be immersed in it to achieve the immersive effect. The emergence of the Meta universe has directly enhanced the organic combination of drawing, layout, fitting and other links in clothing design, and the use and introduction of virtual reality technology has gradually changed and subverted traditional clothing design. © 2024 IEEE.

关键词： Virtual environments

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Research on predictive control system for inspection robots based on digital twins 3

Research on predictive control system for inspection robots ...

引用

3rd international conference on robotics, Artificial intelligence and Intelligent Control (RAIIC)

作者： Liu, Yu Liu, Hongwei Liu, Manlu Liu, Xin Southwest Univ Sci & Technol Sch Informat Engn Mianyang 621010 Sichuan Peoples R China Southwest Univ Sci & Technol Robot Technol Used Special Environm Key Lab Sichu Mianyang 621010 Sichuan Peoples R China

ISBN: (纸本)9798350352634;9798350352627

In order to improve the motion stability and monitorability of inspection robots, a digital twin predictive control system for inspection robots based on Unity3D and robot Operating System (ROS) is proposed. Firstly, with the support of wireless communication technology and ROS system, the mapping of virtual-real space scene and robot state is carried out through TCP/IP protocol;secondly, considering the impact of data communication lag and signal loss on the control system, a predictive control model is constructed to control the robot's motion in order to reduce the reliance on real-time data, and the predictive control model is optimized by using Laguerre's function as well as filtering algorithm to optimize the control response and mitigate control oscillations in time;finally, in the virtual decision space, the physical robot is driven to follow the predicted trajectory in a synchronized mapping manner. The experimental results prove that the digital twin control system has good tracking performance and is stable and reliable. Compared with that before model optimization, the efficiency is improved by 50.93% and the error is reduced by 69.23%.

关键词： digital twin Unity 3D predictive control model laguerre function

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Construction of Inspection Work Information Management System for Online Collaborative Work Mode 3

Construction of Inspection Work Information Management Syste...

引用

3rd international conference on Artificial intelligence and Autonomous robot Systems, AIARS 2024

作者： Li, Zonghao Ma, Dui Wan, Yameng Niu, Hao Fan, Rui State Grid Jilin Electric Power Co. Ltd Jilin China Beijing Guodiantong Network Technology Co. Ltd Beijing China

ISBN: (纸本)9798350376173

Based on the analysis of existing detection methods and according to the needs of practical applications, radio frequency identification technology, GSM (Global System for Mobile) communication technology, and GPS (Global Position System) positioning technology were adopted in power system inspection management. An inspection work information management system based on RFID (Radio Frequency Identification)/GSM/GPS for online collaborative work mode was established. In the accuracy performance test, 6 tests were conducted, and it was found that the fault diagnosis accuracy was 0.885 and the task classification accuracy was 0.908. The inspection work information management system for online collaborative work mode has a higher accuracy. The research results of this article have laid the foundation for planning and decision-making of transmission line inspection, achieving intelligent management of ground wires, and promoting the improvement of transmission line inspection management level. © 2024 IEEE.

关键词： Decision making

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Research on Financial Python Visualization technology Base on Intelligent Data Analysis 3

Research on Financial Python Visualization Technology Base o...

引用

3rd international conference on Artificial intelligence and Autonomous robot Systems, AIARS 2024

作者： Fu, Bowen Yunnan University Dianchi College Yunnan China

ISBN: (纸本)9798350376173

Financial analysis methods are widely used in the field of finance, and the introduction of Python technology makes it possible to analyze the financial situation of listed companies in a wider range and longer period. Based on Python visualization technology, combined with financial analysis methods and company growth stage theory, this paper collects and analyzes the data of listed companies, and uses data visualization to analyze the company's profit drivers. It is hoped that through the actual case of python visualization, the specific scheme of python application in financial big data can be analyzed, which can provide a reasonable reference for the optimization of related work. © 2024 IEEE.

关键词： Decentralized finance

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An Interpersonal Communication Analysis Model for Privacy Protection Systems in the Era of Artificial intelligence 3

An Interpersonal Communication Analysis Model for Privacy Pr...

引用

3rd international conference on Artificial intelligence and Autonomous robot Systems, AIARS 2024

作者： Wang, Yiming School of Art Design and Media Shanghai Sanda University Shanghai China

ISBN: (纸本)9798350376173

With the advancement of science and technology, artificial intelligence technology has penetrated into all aspects of our lives, especially in the field of online privacy protection dissemination, and its application research has received more and more attention. Artificial intelligence technology, with its excellent information processing capabilities, provides new possibilities for the dissemination of online health knowledge. The article provides an overview of the main technologies and methods adopted in this field, and points out their important significance in engineering practice. Firstly, research key technologies such as data encryption, access control, and user consent to ensure the security and privacy of data during storage and transmission. On this basis, research was conducted on techniques such as data anonymity. At the same time, this article also points out the important role of the principle of minimizing information, transparency in establishing user trust, and compliance with relevant regulations. Through the application of artificial intelligence technology, the dissemination of online privacy protection will be able to be carried out more effectively. © 2024 IEEE.

关键词： Anonymity

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Autonomous Navigation of Construction robots Based on Visual SLAM technology 24

Autonomous Navigation of Construction Robots Based on Visual...

引用

3rd international conference on Frontiers of Artificial intelligence and Machine Learning (FAIML)

作者： Wang, Xinjun Chengdu Polytech Sch Urban Construct Chengdu Sichuan Peoples R China

ISBN: (纸本)9798400709777

In the field of automated construction, the autonomous navigation system of construction robots plays an important role in improving work efficiency and safety. Visual SLAM technology has demonstrated its superiority in the dynamic scene of construction due to its strong adaptability and relatively low cost. Therefore, based on the characteristics of the construction environment, the traditional visual SLAM technology has been improved to enhance the positioning and map construction performance of robots. By combining RGB-D cameras with the ORB-SLAM2 framework, the accuracy of robot environmental perception and positioning has been improved, and the YOLOv4 tiny network has been used to eliminate dynamic interference and optimize the stability of the navigation system. The simulation results show that the autonomous navigation system for construction robots based on improved technology reduces path planning and travel time by 19.08% and 13.81%, respectively, and significantly improves the efficiency and accuracy of 3D map construction. This research achievement provides a new technological approach for precise navigation of construction robots, which is of great significance for achieving autonomous robot operations in construction scenarios.

关键词： SLAM Construction robot Autonomous navigation RGB-D ORBSLAM2 YOLOv4 tiny

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