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检索条件"任意字段=IEEE International Conference on Robotics, Intelligent Systems and Signal Processing, RISSP 2003"

共 557 条记录，以下是1-10 订阅

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Proceedings. 2003 ieee international conference on robotics, intelligent systems and signal processing (ieee Cat. No.03EX707)

Proceedings. 2003 IEEE International Conference on Robotics,...

引用

ieee international conference on robotics, intelligent systems and signal processing

The following topics are dealt with: advanced robot control; multi-modal human-robot communication; humanoid robots; matching algorithms; robot motion planning; wavelet and its application; grasping and manipulation; intelligent motion control; advanced measurement technology; robot vision; virtual reality; advanced technology for intelligent systems; collective intelligence; bio-robotics; stereo vision; multi-robot systems; spectrum analysis; manufacturing technologies; mobile robots; microrobots and micromanipulators; tele-robotics; smart materials and structures; radar image processing; advanced signal processing; skill and learning; spectrum analysis; networked robotics; image processing; communication systems; nanotechnologies; image understanding; computational intelligence; information theory; advanced automation technology; and intelligent systems.

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Proceedings - 2003 ieee international conference on robotics, intelligent systems and signal processing [front matter]

Proceedings - 2003 IEEE International Conference on Robotics...

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ieee international conference on robotics, intelligent systems and signal processing

conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original conference proceedings.

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Predictive Analysis of Smart Grid Stability Using Diverse Machine Learning Algorithms 4

Predictive Analysis of Smart Grid Stability Using Diverse Ma...

引用

4th international conference on robotics, Electrical and signal processing Techniques, ICREST 2025

作者： Dipto, Durjoy Roy Shib, Sowrov Komar Rahman, Md Tanvir Shufian, Abu American International UniversityBangladesh Dept. of Electrical & Electronic Engg Dhaka Bangladesh

ISBN: (纸本)9798331530938

The increasing integration of diverse energy sources within smart grids has introduced new challenges for maintaining grid stability. Traditional stability evaluation techniques often fail to address modern power systems' energetic and nonlinear nature. The proposed study explores the application of machine learning algorithms, including Random Forests, XGBoost, Support Vector Machines (SVM), and Logistic Regression, to predict smart grid stability. A comprehensive dataset of 60,000 samples representing various grid scenarios was utilized, and the models were assessed using precision, accuracy, recall, and F1-score metrics. Among the tested models, XGBoost showed superior performance, with the highest accuracy of 97.93% across various conditions. This result underscores the potential of machine learning in enhancing grid reliability, reducing the risk of power outages, and supporting the integration of renewable energy sources. By advancing predictive analytics in smart grid systems, this approach contributes to developing more resilient and adaptive energy networks, essential for meeting the demands of a sustainable future. © 2025 ieee.

关键词： intelligent controller machine learning predictive analysis Smart grid stability

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An intelligent SCADA System for Power Distribution Network Cable Fault Detection with Real-Time Monitoring and Autonomous Maintenance 4

An Intelligent SCADA System for Power Distribution Network C...

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4th international conference on robotics, Electrical and signal processing Techniques, ICREST 2025

作者： Nahidul Islam, S.M. Ahmad, Shameem Prodhan, Md. Mahbub-E-Elahi Khan Chowdhury, Md. Shoaib Bin Mizan, Sakib Ahmed, Abir Jahan, Effat Hazari, Md. Rifat Hossain, Chowdhury Akram American International University-Bangladesh Faculty of Engineering Department of Electrical and Electronic Engineering Dhaka1229 Bangladesh American International University-Bangladesh Faculty of Engineering Department of Computer Engineering Dhaka1229 Bangladesh

ISBN: (纸本)9798331530938

Supervisory Control and Data Acquisition (SCADA) systems are significant for boosting industrial operations, but established systems often struggle with fault management and real-time monitoring. To address these issues, this paper proposes an advanced SCADA system that integrates IoT technologies, multi-agent systems, and predictive maintenance for seamless data collection, analysis, and decision-making. Machine learning enhances fault detection and cybersecurity, while a modular hardware design allows scalability and flexibility to various industrial environments. The system is highly sensitive to detecting faults, including open circuit faults, line-to-ground faults, line-to-line faults, double line to ground faults and three-phase faults. It improves operational safety and efficiency by accurately locating faults and notifying professionals in real time. Extensive simulations and hardware tests were conducted to validate its performance in different fault scenarios. The results show that the proposed SCADA system has successfully detected different types of faults, offering a unified approach for fault management, maintenance, and real-time monitoring. © 2025 ieee.

关键词： SCADA systems

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SAF: Local Shape-aware Face-based Garment Collision Handling via Neural SDFs

SAF: Local Shape-aware Face-based Garment Collision Handling...

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2025 ieee international conference on Acoustics, Speech, and signal processing, ICASSP 2025

作者： Tang, Minzhe Yuan, Ruisheng Kou, Dongliang Sun, Mingyang Zhang, Lihua Academy for Engineering and Technology Fudan University Shanghai China Institute of Metaverse & Intelligent Medicine Fudan University Shanghai China Jilin Provincial Key Laboratory of Intelligence Science and Engineering Changchun China Engineering Research Center of AI and Robotics Ministry of Education Shanghai China AI and Unmanned Systems Engineering Research Center of Jilin Province Changchun China

ISBN: (纸本)9798350368741

Learning-based garment prediction presents an appealing alternative to physics-based methods owing to its high efficiency. However, the predicted garments can exhibit noticeable penetrations into the body. Many collision-handling methods operate in the point domain, which has an inherent limitation in addressing the penetration issues with the mesh faces. In light of this, we propose a local Shape-Aware, Face-based collision handling approach (SAF) that can be applied to garment prediction networks to achieve real-time collision handling. Considering the nature of garments, we design a compact formulation to model the continuity of the garment surface, and utilize neural Signed Distance Fields (SDFs) to accomplish penetration resolution. Recognizing the significant impact of the body's local shape on collision handling, we further propose using the angles between SDF gradients to characterize the sharpness of the body. Our approach can compensate for the inaccuracy of neural SDFs and preserve local smoothness and details. Extensive experiments demonstrate the outstanding performance and generalizability of our method. © 2025 ieee.

关键词： collision handling computer graphics deep learning garment simulation

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HRIxD: End-Effector Specialised in Drumming for Performing Robots 25

HRIxD: End-Effector Specialised in Drumming for Performing R...

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ACM/ieee international conference on Human-Robot Interaction (HRI)

作者： Khaja Ahmed Shaik Eduardo Benitez Sandoval Shengyuan Xie Francisco Cruz School of Mechanical and Manufacturing Engineering University of New South Wales Sydney Australia School of Art and Design University of New South Wales Sydney Australia School of Computer Science and Engineering University of New South Wales Sydney Australia Escuela de Ingeniería Universidad Central de Chile Santiago Chile

ISBN: (数字)9798350378931

ISBN: (纸本)9798350378948

Human-robot interaction encompasses various applications, from simple tasks to advanced complex functionalities. This research introduces a specialised robotics end effector specially modelled with auditory processing for drumming along-side humans. This system interprets auditory vocal input to generate precise and adaptive drumming patterns. Utilising precision motor control and real-time signal processing to replicate drumming with human-like characteristics with precision. This work demonstrates collaboration between performing arts and robotics, demonstrating the potential of intelligent systems to interact with human creativity in real-time. The specialised end effector utilises precise motor control with motor drivers and a belt mechanism to regulate the speed and direction of the drumstick, enabling rapid, high-speed strokes to strike the drum 4 to 5 times per second. By integrating audio perception with mechanical execution, this research advances the state of the art and establishes a new framework for incorporating robotics into the creative and artistic domain.

关键词： Motor drives Human-robot interaction Collaboration signal processing Motors End effectors Real-time systems intelligent systems Robots Creativity

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SAF: Local Shape-aware Face-based Garment Collision Handling via Neural SDFs

SAF: Local Shape-aware Face-based Garment Collision Handling...

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international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Minzhe Tang Ruisheng Yuan Dongliang Kou Mingyang Sun Lihua Zhang Academy for Engineering and Technology Fudan University Shanghai China Institute of Metaverse & Intelligent Medicine Fudan University Shanghai China Jilin Provincial Key Laboratory of Intelligence Science and Engineering Changchun China Engineering Research Center of AI and Robotics Ministry of Education Shanghai China AI and Unmanned Systems Engineering Research Center of Jilin Province Changchun China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Learning-based garment prediction presents an appealing alternative to physics-based methods owing to its high efficiency. However, the predicted garments can exhibit noticeable penetrations into the body. Many collision-handling methods operate in the point domain, which has an inherent limitation in addressing the penetration issues with the mesh faces. In light of this, we propose a local Shape-Aware, Face-based collision handling approach (SAF) that can be applied to garment prediction networks to achieve real-time collision handling. Considering the nature of garments, we design a compact formulation to model the continuity of the garment surface, and utilize neural Signed Distance Fields (SDFs) to accomplish penetration resolution. Recognizing the significant impact of the body’s local shape on collision handling, we further propose using the angles between SDF gradients to characterize the sharpness of the body. Our approach can compensate for the inaccuracy of neural SDFs and preserve local smoothness and details. Extensive experiments demonstrate the outstanding performance and generalizability of our method.

关键词： Shape Face recognition Clothing signal processing Real-time systems Acoustics Character recognition Speech processing Faces

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SAR motion compensation based on signal processing method

SAR motion compensation based on signal processing method

引用

ieee international conference on robotics, intelligent systems and signal processing, rissp 2003

作者： Guo, Weiguang Wang, Yan School of Electronic Science and Technology National University of Defence Technology ChangshaHunan410073 China

For airborne synthetic aperture radar (SAR) without precise measuring systems, signal-processing method can play an important role in motion compensation system. The main ideal is to extract all the necessary motions or Doppler parameters of the aircraft by evaluating the azimuth spectra of the radar raw data. The reflectivity displacement method (RDM) algorithm is described in this paper, and tested with the actual experimental data. © 2003 ieee.

关键词： Synthetic aperture radar

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A kind of decoupling control for strong cross-correlation complex system

A kind of decoupling control for strong cross-correlation co...

引用

ieee international conference on robotics, intelligent systems and signal processing, rissp 2003

作者： Zhao, Ming-Fu Chen, Hong-Yan Lei, Jian-Jun Li, Tai-Fu Dept. of Electronic Engineering Chongqing Institute of Technology Chongqing400050 China

ISBN: (纸本)078037925X

It is very difficult to control a complex system of strong cross-correlation MIMO effectively. For example, a large-scale steel rolling furnace is a typical strong cross-correlation complex system, there is obvious coupling among several heating stages and strong disturbance from inside and outside. Therefore, it is difficult to ensure that temperature in several heating stages meets the demand of techniques, and leads to a low rate of finished product, even an accident resulting in furnace destruction occurs sometimes. Aimed at the above control puzzles, authors apply the intelligent decoupling approach to control this kind of system. The authors study decoupling control characteristics, an algorithm in engineering control, and use simulation and an engineering instance to verify the validity of the intelligent decoupling control. The practice shows that it is worthy to apply intelligent decoupling to control complex system of strong cross-correlation in engineering. © 2003 ieee.

关键词： Large scale systems

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RH6-based multi-robots teleoperation experimental system

RH6-based multi-robots teleoperation experimental system

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ieee international conference on robotics, intelligent systems and signal processing, rissp 2003

作者： Liu, Jingtai An, Gang Zhao, Xin Xu, Wei-Min Wu, Shuihua Sun, Lei Na, Wenwu Huang, Xingbo Institute of Robotics and Automatic Information System Nankai University Tianjin300071 China

ISBN: (纸本)078037925X

The CAN-based RH6 control system is developed by the Institute of robotics and Information Automatic System, Nankai University. In this system, users can operate the robot through high-level instructions on host computers. Furthermore, based on this system, an experimental teleoperating robot system was also built. The experiment results demonstrate that through our alteration, the RH6 robot can meet the research requirements for the teleoperating robot system. This paper mainly focuses on the CAN-BUS based RH6 control system, the architecture and the implementation of the RH6-based teleoperation robot system, and the experiment. At the end of this article, we give our conclusion and forecast of the experimental system. © 2003 ieee.

关键词： Control systems

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