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检索条件"任意字段=IEEE Conference on Technologies for Practical Robot Applications"

共 5271 条记录，以下是291-300 订阅

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Comparative Analysis of Knuth and Babkin’s"Zero-Sum" Methods for Suppressing Individual Spectral Components 25

Comparative Analysis of Knuth and Babkin’s"Zero-Sum" Method...

引用

25th ieee International conference of Young Professionals in Electron Devices and Materials, EDM 2024

作者： Zhuravlev, Vjacheslav A. Ryako, Boris Ya. Federal Research Center for Information and Computational Technologies Siberian State University of Telecommunications and Information Science Novosibirsk Russia Federal Research Center for Information and Computational Technologies Novosibirsk Russia

ISBN: (纸本)9798350389234

This article is about a comparative analysis of two algorithms designed for generating zero-sum sequences, which have unique applications in signal processing, cryptography, and artificial intelligence. The research focuses on the estimation of the performance and efficiency of these algorithms under different conditions. Along with this comparison, this article aims to expand our understanding of the theoretical basics of zero-sum sequence generation. The practical application of this research is to optimize these algorithms for real-world applications, so, their efficiency in a practical way will be improved. Also, another purpose of this research is to find advantages and disadvantages in each algorithm, providing valuable information for further exploration in this important area of science and technology. By finding more information from this comparative efficiency of these algorithms, this work helps to increase knowledge in the area of development of more effective algorithms for zero-sum sequence generation. Such results can have a lot of potential applications in several areas of application, for example, communication systems and data security. © 2024 ieee.

关键词： bit sequences coding theory Fourier sum QAM-sequences sequences with zero-sum

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A Control Room Monitored Software Engineering robot Working Fully Autonomously at High Speed

A Control Room Monitored Software Engineering Robot Working ...

引用

2023 ieee International conference on Electrical, Computer and Energy technologies, ICECET 2023

作者： Florczyk, Stefan Bayerische Versorgungskammer Computer Science Department Munich Germany

ISBN: (纸本)9798350327816

The author describes an already productive robot that is responsible for the complete anonymization of the data of around five million people. The scientific community considers the complete anonymization of data as very complex. Principally, data anonymization is not difficult, but the complete anonymization of huge amount of data is hard. In this project, more than 1000 clerks continuously change large databases. Therefore, the clerks can enter at any time sensitive data into database fields that an anonymization tool does not consider yet. Software engineers often cannot recognize these changes timely and thus cannot guarantee complete anonymization. Therefore, the author created a robot that works in the project and successfully completes this task. To do this, the robot uses an expert system to identify and close the new gaps in the anonymization tool at high speed. The author had this new idea. Traditional expert systems advise people. So far, no one has suggested the development of an expert system as an advisor for a software engineering robot. With this new idea, the author has succeeded in developing the world's first robot of this type. The author's new idea allows the robot to maintain the anonymization tool completely autonomously. © 2023 ieee.

关键词： applications and Expert Knowledge-Intensive Systems Artificial Intelligence Data mining robotics Software Engineering

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The HA Based robot Navigation using MBS Method 4

The HA Based Robot Navigation using MBS Method

引用

4th ieee International conference on Advance Computing and Innovative technologies in Engineering, ICACITE 2024

作者： Murugan, G. Al-Farouni, Mohammed Al-Hilali, Aqeel Vats, Satvik Bader, Nabaa M. Al-Ansari, Ahmed Taaban, Nabaa Kareem Gitam University 207 Nagadenehalli Doddaballapur taluk Karnataka Bengaluru561203 India The Islamic University College of Technical Engineering Department of Computers Techniques Engineering Najaf Iraq Al-Farahidi University Baghdad Iraq Graphic Era Hill University Department of Cse India Graphic Era Deemed to Be University Uttarakhand Dehradun248007 India National Universitsy of Science and Technology College of Technical Engineering Dhi Qar64001 Iraq Al-kunooze University College Dental Department Basra Iraq Kut University College Business Administration Department wasit Al kut52001 Iraq

ISBN: (纸本)9798350360165

Multiple methods of human-aware navigation are developing in tandem with the emergence of social robots. This article presents a comprehensive standard for the quantitative evaluation of robot navigation methods. System designers may use the Social robot Planner Benchmark (SRPB), an automated quantitative tool that generates consistent performance indicators for algorithms, to choose the optimum strategy for certain applications. As an alternative to conventional measures of work performance, our standard provides innovative social metrics such as the degree to which humans feel comfortable in the robot's environment and the degree to which robot actions seem natural, with a focus on how reliable human tracking is. Efficient navigation of service robots in scenarios involving human assistance requires a delicate balance between optimizing the robot's path and ensuring user comfort and safety. Our approach employs Bayesian inference for predicting the user's navigation goal and time-dependent path planning to achieve this balance effectively. By leveraging an interaction model and computing the belief about the user's intended destination, our method provides accurate predictions regularly updated based on new observations. Through a comprehensive evaluation, we demonstrate that our approach maintains a comfortable separation between the robot and the user while complying with social distance norms and minimizing the difference in arrival time. Statistical analysis reveals the superiority of our approach in terms of human-robot distance, significantly enhancing user comfort and safety during navigation scenarios. © 2024 ieee.

关键词： robot programming

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STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for robot Follow-Ahead

STPOTR: Simultaneous Human Trajectory and Pose Prediction Us...

引用

ieee International conference on robotics and Automation (ICRA)

作者： Mahdavian, Mohammad Nikdel, Payam TaherAhmadi, Mahdi Chen, Mo SFU Sch Comp Sci Burnaby BC Canada

ISBN: (纸本)9798350323658

In this paper, we greatly expand the capability of robots to perform the follow-ahead task and variations of this task through development of a neural network model to predict future human motion from an observed human motion history. We propose a non-autoregressive transformer architecture to leverage its parallel nature for easier training and fast, accurate predictions at test time. The proposed architecture divides human motion prediction into two parts: 1) the human trajectory, which is the 3D positions of the hip joint over time, and 2) the human pose which is the 3D positions of all other joints over time with respect to a fixed hip joint. We propose to make the two predictions simultaneously, as the shared representation can improve the model performance. Therefore, the model consists of two sets of encoders and decoders. First, a multi-head attention module applied to encoder outputs improves human trajectory. Second, another multi-head self-attention module applied to encoder outputs concatenated with decoder outputs facilitates the learning of temporal dependencies. Our model is well-suited for robotic applications in terms of test accuracy and speed, and compares favorably with respect to state-of-the-art methods. We demonstrate the real-world applicability of our work via the robot Follow-Ahead task, a challenging yet practical case study for our proposed model. The human motion predicted by our model enables the robot follow-ahead in scenarios that require taking detailed human motion into account such as sit-to-stand, stand-to-sit. It also enables simple control policies to trivially generalize to many different variations of human following, such as follow-beside. Our code and data are available at the following Github page: https://***/mmahdavian/STPOTR

关键词： Trajectories

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Research on Path Planning Algorithm of Mobile robot Based on RRT

Research on Path Planning Algorithm of Mobile Robot Based on...

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2025 Asia-Europe conference on Cybersecurity, Internet of Things and Soft Computing, CITSC 2025

作者： Yang, Jinpei Zhang, Yizhou School of Information Huazhong Agricultural University Wuhan430070 China International Education College Changchun University of Technology Changchun130012 China

ISBN: (纸本)9798331504205

This research sheds light on the path planning algorithm for robots using the rapidly-exploring random tree (RRT). The RRT algorithm builds one path by generating random nodes in the robot's workspace, which links them to the nearest existing nodes, and expands the tree until the goal is attained or the highest amount of iterations is achieved. It can analyze the most feasible route, practical scenarios always tend towards randomness. The paper details the fundamental RRT calculation principles, specific steps for forming the RRT, and the tools used for implementation, including MATLAB, ROS, and Python. Experimental scenarios involved indoor environments with fixed obstacles to evaluate how the algorithm will perform. These results demonstrated that the RRT algorithm effectively guides robots through complex environments, though it has certain limitations such as instability in efficiency, high computational expense, and suboptimal path quality due to its random nature. The research also explores the algorithm's application across various fields, including robot motion planning, video games, autonomous exploration, and medical robotics. Despite its drawbacks, RRT's adaptability, simplicity, and potential of this research for integration with other algorithms make it accessible to make way for a great number of robot applications. © 2025 ieee.

关键词： MATLAB

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Development of a Remote-Control System for a Mobile Vibration-Driven robot 17

Development of a Remote-Control System for a Mobile Vibratio...

引用

ieee 17th International conference on the Experience of Designing and Application of CAD Systems (CADSM)

作者： Korendiy, Vitaliy Kachur, Oleksandr Predko, Rostyslav Lviv Polytech Natl Univ Dept Tech Mech & Dynam Machines Lvov Ukraine Lviv Polytech Natl Univ Dept Comp Aided Design Lvov Ukraine Lviv Polytech Natl Univ Dept Robot & Integrated Mech Engn Technol Lvov Ukraine

ISBN: (纸本)9798350310856

Vibration-driven locomotion system is a relatively new branch of mobile robotics. The design variety of vibrationdriven robots is quite wide, while their control systems need constant improvement from the viewpoint of the robot's operational efficiency, accuracy, production, and maintenance costs. The purpose of this paper is the development, simulation, and practical implementation of a novel control system for a mobile vibration-driven robot. The proposed control system is based on Arduino hardware and software. The developed wheeled robot can be remotely controlled using the Bluetooth interface and the mobile phone with the corresponding Android application installed. The experimental prototype of the mobile robot is tested under different operational conditions (supplied voltages and forced frequencies) regulated by the developed control system. The corresponding kinematic parameters of the robot's wheeled platform and the impact body are registered by the WitMotion accelerometers, and the experimental data are processed with the help of the WitMotion and MathCad software. The results of the presented research can be effectively used while designing and implementing mobile robotic systems for inspecting, cleaning, or maintaining the internal surfaces of various pipelines, tubes, vessels, intestines, etc.

关键词： vibration-driven locomotion system mobile robotics Arduino hardware Bluetooth Android application

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Towards 5G-Aware robot Planning for Industrial applications 27

Towards 5G-Aware Robot Planning for Industrial Applications

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ieee 27th International conference on Emerging technologies and Factory Automation (ETFA)

作者： Jorgensen, Nils Kattepur, Ajay Mohalik, Swarup Vulgarakis, Aneta Fersman, Elena KTH Royal Inst Technol Sch Ind Engn & Management Stockholm Sweden Ericsson AI Res Kista Sweden

ISBN: (数字)9781665499965

ISBN: (纸本)9781665499965

With the emergence of Industry 4.0, comes an increasing need for multi-robot coordination and communication to efficiently complete joint tasks. A critical technology is the fifth generation (5G) mobile network, which enables multiple robots to execute control tasks with differentiated quality-of-service (QoS) features. However, there has been limited analysis of the impact of real 5G capabilities on multi-agent robot planning problems. In this paper, we provide a review of robot planning algorithms suitable for industrial use-cases, which consider communication aspects in the planning formulation. The paper is further positioned to identify gaps in existing state of the art within communication-aware planning. This is followed by an analysis of key challenges to be targeted at the intersection of 5G, Industry 4.0 and multi-agent robot planning. This analysis is strategically important and would prove useful to academic researchers and industry experts focusing on deployment of robots in industrial settings.

关键词： 5G Industry 4.0 multi-agent system robot planning smart factory wireless networks

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Innovative applications of Human-Computer Interaction Technology in Software Development

Innovative Applications of Human-Computer Interaction Techno...

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2024 International conference on Computing, robotics and System Sciences, ICRSS 2024

作者： Huang, Weihua Rizhao Polytechnic Rizhao276826 China

ISBN: (纸本)9798331511296

This article delves into the applications and impact of human-computer interaction (HCI) technology in software development. The research covers cutting-edge technologies such as augmented reality, virtual reality, and multimodal interaction systems, analyzing their contributions to enhancing user experience and efficiency. The article also elaborates on practical strategies such as cross-platform design, accessibility technology, and performance optimization, providing concrete data support. The research results show that these technologies and methods significantly improve the usability and performance of software, pointing the way for future HCI development. This article has important reference value for software developers and researchers. © 2024 ieee.

关键词： Virtual environments

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Intelligent patrol wheeled robot based on image recognition 3

Intelligent patrol wheeled robot based on image recognition

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3rd International conference on Machine Vision, Automatic Identification, and Detection, MVAID 2024

作者： Wu, Wei Lv, Xinyue Pei, Zeyu An, Changying Ning, Jixiang Gao, Zhenzhen College of Engineering China University of Petroleum-Beijing at Karamay Karamay834000 China

ISBN: (纸本)9781510681880

In recent years, with the development of artificial intelligence technology, intelligent robots are more and more widely used in many fields. In this paper, an intelligent patrol wheeled robot based on image recognition is designed and implemented. The robot utilizes Raspberry PI as its core control unit and integrates sensing equipment such as cameras and ultrasonic sensors. The functions of autonomous navigation, intelligent obstacle avoidance and path tracking are improved through computer vision and machine learning technology. The main technologies include OpenCV for image processing, HOG feature extraction and SVM algorithm for traffic sign recognition, and traffic light detection system based on color recognition. In addition, this paper also discusses the use of positional PID control algorithm to achieve visual lane keeping scheme. Through detailed system design and experimental verification, this paper shows the performance benefits of the intelligent robot in practical applications, and provides a new idea for the future research of intelligent robots. It is expected that the robot has a wide range of application potential in intelligent transportation, public safety and other fields. © 2024 SPIE.

关键词： Intelligent robots

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Human-robot Co-Transport of Flexible Materials Using Deformation Constraints 29

Human-Robot Co-Transport of Flexible Materials Using Deforma...

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29th ieee International conference on Emerging technologies and Factory Automation, ETFA 2024

作者： Bonci, Andrea Di Biase, Alessandro Longhi, Sauro Kermenov, Renat Polytechnic of Bari Dept. of Electrical and Information Engineering Italy Polytechnic University of Marche Dept. of Information Engineering Ancona Italy

ISBN: (纸本)9798350361230

The co-transport (collaborative-transport) of deformable materials such as fabrics, composite materials, cables or wires and so on, is a challenging task for robotic applications in industry. The main difficulty lies in the deformability of the material, which can slide, stretch and deform during handling and transport. Common approaches in the literature either take advantage of force sensors to act on the fabric and restore its ideal state, or estimate the deformation state of the fabric with depth images and neural networks (NN). In both cases, issues may arise regarding the effects of force control on the material and the industrial reliability of the NNs, respectively. This paper proposes a method based on the estimation of the deformability constraints of the flexible material to obtain geometric parameters that allow planning the trajectory of a collaborative manipulator for co-transport that guarantees the deformation constraints during transport. By identifying a representative point on the side of the fabric held by the man, the action necessary to restore the desired deformation of the fabric that is initially estimated is planned. Once the material assumes the desired state, the robot's movements are generated to track the human's movement and act in safety conditions. A near-time-optimal control strategy is proposed. Finally, the system is tested in a simulation scenario. © 2024 ieee.

关键词： Collaborative robots

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