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检索条件"任意字段=International Conference on Advances in Science, Engineering and Robotics Technology"

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Continuous-Time Model-Free Adaptive Control for Nonlinear Plants 6

Continuous-Time Model-Free Adaptive Control for Nonlinear Pl...

引用

6th international conference on robotics, Control and Automation engineering, RCAE 2023

作者： Yu, Hao Li, Wangjiang School of Automation Beijing Institute of Technology Beijing China

ISBN: (纸本)9798350315301

This paper studies continuous-Time model-free adaptive control (MFAC) framework for solving set-point tracking problems of second-order nonlinear time-invariant plants. First, the dynamical linearization process for continuous-Time nonlinear plants is established for the first time. On the basis of the proposed dynamical linearization models, continuous-Time MFAC, which includes the forms of control inputs and adaptive laws for the involved parameter estimation, is designed. In the proposed continuous-Time MFAC, only input/output data is utilized and there are no parameters that need to be tuned. Then, a Lyapunov-based theoretical analysis is provided to show the global stability of the closed-loop system and the convergence of tracking errors. Finally, numerical simulations are given to illustrate the efficiency and feasibility of the proposed results. © 2023 IEEE.

关键词： Continuous time systems

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Cloud-Driven Collaborative Filtering and Waiter Robots Transforming Customer Experiences in Restaurants

Cloud-Driven Collaborative Filtering and Waiter Robots Trans...

引用

2024 international conference on advances in Modern Age Technologies for Health and engineering science, AMATHE 2024

作者： Srinivasan, V. Prasanna Mohankumar, N. Prabakaran, T. Sairam, A. Elangovan, K. Velmurugan, S. R.M.D. Engineering College Department Of Information Technology Tamil Nadu Chennai India Maharashtra Nagpur India Joginpally B.R. Engineering College Department Of Computer Science And Engineering Telangana Hyderabad India Saveetha School Of Engineering Saveetha Institute Of Medical And Technical Sciences Department Of Computer Science And Engineering Thandalam Tamil Nadu Chennai India Dhanalakshmi Srinivasan Engineering College Department Of Mechanical Engineering Tamil Nadu Chennai India T.J.S. Engineering College Department Of Electronics And Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350371567

To improve customer relations, this research investigates the possibility of using cloud-enabled collaborative filtering with robot waiters in restaurant environments. With the use of innovation, to revolutionize the way people eat out. It suggests using smart robots that can interact with customers and help the wait staff out. Customer preferences are analyzed, order suggestions are streamlined, and service is personalized using cloud-based collaborative filtering algorithms. Test this novel approach in a real-world restaurant setting to view how it changes things for the better in terms of customer happiness, service efficiency, and employee output. It seems that the combination of autonomous waiters and collaborative filtering on the cloud might completely change the way people dine out by making everything more streamlined and personalized to each individual's preferences. To the existing conversation about how robots, cloud computing, and customer service intersect in the restaurant industry, which is important since technology is still playing a major influence on how businesses engage with their customers. © 2024 IEEE.

关键词： Collaborative filtering

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Distributed Tracking Control and Obstacle Avoidance of Mobile Robots over Event-Triggered Communication 6

Distributed Tracking Control and Obstacle Avoidance of Mobil...

引用

6th international conference on robotics, Control and Automation engineering, RCAE 2023

作者： Liu, Guoyong Qian, Moshu Bo, Cuimei Gao, Zhifeng College of Electrical Engineering and Control Science Nanjing Tech University NanJing China College of Automation and College of Artificial Intelligence NanJing University of Posts and Telecommunications NanJing China

ISBN: (纸本)9798350315301

This article studies the cooperative tracking control and obstacle avoidance problem for wheeled mobile robots (WMRs) under event-Triggered communication. The dynamics of WMRs are considered first. To handle the constraint that only part of the robots can access the leader, the distributed state estimators are designed. Then, an event-Triggered based tracking control and obstacle avoidance scheme is developed by utilizing a backstepping control technique and artificial potential field (APF). The stability of the closed-loop system is proved and Zeno behaviors are excluded. Finally, the simulation of three robots is implemented to illustrate the superiority of the presented scheme. © 2023 IEEE.

关键词： Mobile robots

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Evaluation of Vibrotactile Glove and Handheld Controller in a Visuo-Haptic VR Space Station 2

Evaluation of Vibrotactile Glove and Handheld Controller in ...

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2nd international conference on Automation, robotics and Computer engineering, ICARCE 2023

作者： Luo, Hu Zhou, Zejian Cao, Tianyang Na, Yufeng Nie, Jingwen Bai, Ruixue Wang, Dangxiao Beihang University State Key Lab of Virtual Reality Technology and System Beijing China School of General Engineering Beihang University Beijing China Application and Science Education Co. Ltd. Beijing SpaceD Aerospace Beijing China

ISBN: (纸本)9798350308341

Using virtual reality technology, we can simulate the microgravity environment of the outer space for popularizing the space science. Compared with handheld controllers, we expect using a glove with localized vibrotactile feedback might be more efficient and natural for simulating grasping gestures for space roaming and 3D-objects manipulating, however, quantitative and qualitative effects remain unknown. Thus, this study developed a science popularization orientated visuo-haptic VR space station for elucidating the difference between the two interaction devices. We used the number of times of trying to grasp, success grasping rate, and total time of completing the roaming task to objectively describe the interacting efficiency. The results of subjective rating showed better motion intuitiveness and vibrotactile fidelity using the vibrotactile glove, however, quantitative results showed using the glove was less efficient as compared to using the handheld controller. So, analyses of the underlying reasons were performed in aspects of both hardware and software. The findings may provide suggestions for designing VR interacting devices for space science popularization. © 2023 IEEE.

关键词： Virtual reality

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Contact Material and Interface State Effects on AlGaN/GaN HEMT Characteristic and Performance

Contact Material and Interface State Effects on AlGaN/GaN HE...

引用

2024 international conference on Recent advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence, RAEEUCCI 2024

作者： Alam, Md Jawaid Sidhwa, Haroonhaider Giriprasad, S. SRM Institute of Science and Technology Dept. of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350354539

Aluminum Gallium Nitride/Gallium Nitride (AlGaN/GaN) High Electron Mobility Transistors (HEMTs) have gained significant attention for their superior electrical properties, making them promising candidates for high-frequency and high-power applications. The performance of AlGaN/GaN HEMTs is significantly influenced by the properties of the contact materials and interface states. This research article presents a comprehensive review and analysis of the effect of contact material choices and interface states on the performance of AlGaN/GaN HEMTs. Various theoretical models, and simulation studies are discussed to elucidate the underlying mechanisms governing the electrical characteristics of AlGaN/GaN HEMTs. The findings underscore the critical role of contact materials and interface engineering in optimizing device performance and reliability for next-generation electronics. © 2024 IEEE.

关键词： III-V semiconductors

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Predicting Liver Disease with Machine Learning Methods 2

Predicting Liver Disease with Machine Learning Methods

引用

2nd IEEE international conference on advances in Information technology, ICAIT 2024

作者： Dhondiyal, Shiv Ashish Luthra, Pooja Aparna Taluja, Tannu Uniyal, Ishita Dept. of Computer Science and Engineering Graphic Era Deemed to be University Dehradun India Department of Computer Science & Engineering Chandigarh University Gharuan Punjab Mohali India Graphic Era Deemed to be University India Department of Electrical Engineering Graphic Era Hill University India

ISBN: (纸本)9798350383867

With time, illnesses pertaining to the heart and liver are getting more and more common. These will only rise in the future due to ongoing technological improvements. The issue will persist despite the fact that individuals are taking yoga and dancing classes and are becoming more health conscious, as well as continuing to introduce and improve their sedentary lifestyles and indulgences. The aging population combined with an increase in the frequency and prevalence of chronic illnesses raises the risk of liver disease-related hospitalization or mortality. Three algorithms are chosen: Random Forest, K-Nearest Neighbours (K-NN), and Support Vector Machine (SVM). Python is used to compare the accuracy and determine which categorization technique best predicts liver illness. Using these methods we find the KNN method gives maximum good result than SVM and Random Forest *** gives 0.993 Accurate value. © 2024 IEEE.

关键词： Adversarial machine learning

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A Hybrid Trigger Mechanism for Adaptive Function Allocation and Its Application on Airborne Self-separation 2

A Hybrid Trigger Mechanism for Adaptive Function Allocation ...

引用

2nd international conference on Automation, robotics and Computer engineering, ICARCE 2023

作者： Bi, Chencan Gao, Fei Taiyuan University of Technology School of Aeronautics and Astronautics Shanxi Taiyuan030000 China Shandong Jiaotong University School of Aeronautics Shandong Jinan250735 China

ISBN: (纸本)9798350308341

As the disadvantages of single trigger mechanism, this paper introduced a hybrid mechanism for adaptive function allocation. this mechanism proposed that the automation level of system should coordinate with task demand load (TDL) and mental load (ML), doing so by following some specific policies. To validate this mechanism, it was implicated on the function of airborne self-separation. The automation related to this function were categorized into three levels. Fuzzy logic was used when modeling the TDL and function allocator. At last, a analysis software was designed to illustrate the behavior of the hybrid mechanism under different task demand and pilots state. © 2023 IEEE.

关键词： Fuzzy logic

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Anomaly Detection in Spatial Information Networks: A Security Knowledge Graph-based Approach

Anomaly Detection in Spatial Information Networks: A Securit...

引用

2024 international conference on Intelligent Computing and robotics, ICICR 2024

作者： Tan, Yayue Zhang, Yaqi Liu, Hui Tang, Yongqing College of Computer and Information Science School of Software Southwest University Chongqing China School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350372274

Anomaly detection stands as a critical element in securing space information networks (SINs). This paper delves into the realm of anomaly detection within dynamic networks, shedding light on established methodologies. The focus lies on scrutinizing various anomaly detection strategies in space information networks, conducting a comprehensive assessment of their practical applications, advantages, and drawbacks. Moreover, it introduces a novel anomaly detection approach driven by deep learning principles. This innovative method merges graph convolution techniques with a network securityoriented knowledge graph, presenting a cutting-edge solution. As a final contribution, the paper extends its purview to the future landscape of anomaly detection within space information networks, offering valuable insights into potential advancements and forthcoming trends in this domain. This holistic investigation seeks to enhance the understanding of anomaly detection paradigms within the unique context of space information networks, aiming to fortify their security measures and operational resilience. ©2024 IEEE.

关键词： Knowledge graph

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Development of a Robotic Glove Powered by Incompressible Variable-Length Threads 6

Development of a Robotic Glove Powered by Incompressible Var...

引用

6th international Youth conference on Radio Electronics, Electrical and Power engineering, REEPE 2024

作者： Saypulaev, G.R. Saypulaev, M.R. Astakhov, S.V. Semenyakina, E.S. Snegirev, I.S. National Research University 'MPEI' Department of Robotics Mechatronics Dynamics and Machine Strength Moscow Russia

ISBN: (纸本)9798350382891

In this article, it is presented a computer and mathematical modeling of a robotic glove whose drive system consists of threads of adjustable length. The purpose of the work is to construct a relationship between the length of the thread within the control range and the moment acting on the link and arising due to the bending of the thread. Based on the results of 3D modeling and the construction of a dynamics model, the dependences of the angle between the links of the fingers of the glove were constructed depending on the length of the thread. Recommendations were given for selecting the angular stiffness of the elastic element fixed between the links, with given restrictions on the angle between the links and changes in the length of the thread. A mathematical model of the plane movement of one finger of a robotic glove has been constructed. © 2024 IEEE.

关键词： robotics

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Research on Robot Path Optimization Algorithm Based on LSTM-Improved Ant Colony Algorithm 24

Research on Robot Path Optimization Algorithm Based on LSTM-...

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9th international conference on Cyber Security and Information engineering, ICCSIE 2024

作者： Gao, Chao Zhao, Long School of Information Engineering East University of Heilongjiang China School of Computer and Information Engineering Heilongjiang University of Science and Technology China

ISBN: (纸本)9798400718137

In the field of computer-aided robotics, trajectory scheduling is crucial for multi-robot systems operating in complex, dynamic, and different kinds of environments. This paper introduces a novel trajectory optimization algorithm that integrates the Long Short-Term Memory (LSTM) network with the traditional Ant Colony Algorithm (ACA) to address the limitations within the conventional ACA, such as slow convergence and susceptibility to local optima. The incorporation of the LSTM module enhances the ants’ ability to predict environmental changes, improving the overall algorithm performance, especially regarding energy efficiency. This proposed approach specifically tackles the often-overlooked issue of optimizing energy consumption in existing trajectory scheduling algorithms. Experimental results validate the effectiveness of the LSTM-enhanced ACA, showing substantial improvements in both trajectory length reduction and energy efficiency over traditional methods. Indoor environment tests reveal that the algorithm increased the search efficiency by 45.2%, reduced the trajectory length by 11.2%, and decreased the number of the optimal trajectory turning points by 42.9%. These findings suggest that the LSTM-enhanced ACA not only boosts trajectory scheduling accuracy but also optimizes energy usage, making it particularly well-suited for practical applications in multi-robot systems. This research presents a robust solution for energy-efficient trajectory scheduling, offering significant potential for advancing autonomous robotics. © 2024 Copyright held by the owner/author(s).

关键词： Ant colony optimization

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