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检索条件"任意字段=5th International Conference on Robotics and Automation Systems, Robotics 2010"

共 1360 条记录，以下是141-150 订阅

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IoT-Sustainability Protection:Water Level MonitoringWith Micro Leak Detection and AutomaticWater Restoration 5

IoT-Sustainability Protection:Water Level MonitoringWith Mic...

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5th international conference on Smart Sensors and Application, ICSSA 2024

作者： Zainuddin, Ahmad Anwar Bharudin, Mohamad Syafiq Asyraf Kamarudin, Saidatul Izyanie Hussin, Amir ‘Aatieff Amir Subramaniam, Krishnan Tamrin, Mohd. Izzuddin Mohd. Handayani, Dini Kamal, Nik Nor Muhammad Saifudin Nik Mohd Department of Computer Science Kulliyyah of ICT International Islamic University Malaysia Kuala Lumpur Malaysia Universiti Teknologi MARA Shah Alam Selangor Malaysia Department of Mechanical Engineering Mila University Negeri Sembilan Nilai Malaysia Department of Information Systems Kulliyyah of ICT International Islamic University Malaysia Kuala Lumpur Malaysia

ISBN: (纸本)9798350354294

Efficient water resource management stands as a linchpin for sustainable development initiatives worldwide. To this end, this work endeavours to pioneer a comprehensive water level monitoring system with a focus on leak detection and automatic water restoration. Tailored with specialized sensors with cutting-edge automation technology to monitor water levels against predefined thresholds, promptly triggering restoration processes when necessary and identifying leaks in real-time. Central idea of the design is the incorporation of a dedicated rain sensor module, bolstering the micro leak detection capabilities while an ultrasonic sensor ensures precise measurement of water levels in tanks. In the event of a detected leak, rain sensor promptly initiates a signal, process by the main board which also known as the "brain" of the system and triggers an automatic cessation of water input to prevent wastage. Moreover, the system ensures seamless data logging by uploading pertinent information to a dedicated IoT cloud database, facilitating comprehensive monitoring and analysis. this innovative solution underscores not only its viability but also its practical efficacy, showcasing its potential to optimize water utilization and conservation efforts. Specifically, it excels in detecting micro droplets indicative of leaks in the tank. this work aims to spearhead the development of an advanced water level monitoring system, leveraging state-of-the-art of Arduino hardware and a diverse array of sensors, including ultrasonic and rain sensors as well as presenting a holistic framework poised to revolutionize water management practices. © 2024 IEEE.

关键词： Restoration

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Robotic Fiber Fabrication based on Solidification Force Control 5

Robotic Fiber Fabrication based on Solidification Force Cont...

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5th international conference on Manipulation, automation, and robotics at Small Scales (MARSS)

作者： Bettahar, Houari Valisalmi, Teemu Linder, Markus Zhou, Quan Aalto Univ Sch Elect Engn Dept Elect Engn & Automat Espoo 02150 Finland

ISBN: (数字)9781665459730

ISBN: (纸本)9781665459730

In this paper, we propose a robotic fiber fabrication method based on solidification force control to achieve highly repeatable mechanical properties of fibers. Dextran material is used as the specimen in the experiments. It has been chosen because of its similar rheological behavior to silk protein at high mass concentrations. However, the viscosity of dextran material is very low at its liquid phase, so force control during fabrication is challenging. Here, we propose a novel approach that controls the mechanical properties of fiber by controlling the solidification force. We employ impedance control with force tracking to control the solidification force to carry out the threading experiments and examine the benefits of the proposed approach. the repeatability of the mechanical properties of the fabricated fibers has been studied and compared using three scenarios a) fiber fabrication without solidification force control, abbreviated as FFNC, b) fiber fabrication with solidification force control after 60 seconds of solidification from the beginning of the solidification force detection abbreviated as FFWC, and c) fiber fabrication with solidification force control immediately after the detection of the solidification force, abbreviated as FFSC. the experimental results show that fibers fabricated using FFSC scenario have the highest repeatability based on the coefficient of variation of properties of the fabricated fibers, where the obtained coefficient of variation of the toughness, stiffness, elongation, and strength are 12.8%, 13.6%, 14.8%, 12.7% respectively. the experimental results also showed that fibers' mechanical properties toughness, stiffness, elongation, and strength have a negative correlation with the fabrication pulling velocity.

关键词： robotics and automation artificial fiber threading bio-mimicking impedance control force control

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Semantic Map Construction Method Based on Brain-Inspired SLAM 14

Semantic Map Construction Method Based on Brain-Inspired SLA...

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14th IEEE international conference on Cyber Technology in automation, Control, and Intelligent systems, CYBER 2024

作者： Zhao, Hangpiao Tang, Fengzhen Shenyang Institute of Automation The State Key Laboratory of Robotics Shenyang China The University of Chinese Academy of Sciences Shenyang Institute of Automation Beijing China

ISBN: (纸本)9798331506056

Simultaneous localization and mapping (SLAM) is one of the core techniques for robots to move autonomously in unknown environments. Rat-SLAM, inspired by the navigation mechanism of the animal brain, provided nice performance in many environments. However, the experience map constructed by RatSLAM excluded semantic information, which is considered to play an important role in human environmental cognition and spatial navigation. In this paper, we propose a method to construct semantic experience map, combining the state-of-the-art deep neural network and RatSLAM. In our method, YOLOv5 is utilized to extract semantic information from the environmental images. the information of static objects, such as road signs, is selected to be incorporated into the experience map, being more closely to the brain navigation. To avoid the same object being repeatedly marked, we propose a semantic dynamic island mechanism, which only marks the center of the island in the experience map. the proposed method is verified on KITTI datasets, showing that it can successfully realize the construction of semantic experience map. the semantic experience maps are more intuitive and understandable by human, facilitating human-robot interaction, i. e. helping robots to fulfil more complex tasks for human. © 2024 IEEE.

关键词： Rats

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RDDS: Road Disease Detection Model Based on YOLOv5 14

RDDS: Road Disease Detection Model Based on YOLOv5

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14th IEEE international conference on Cyber Technology in automation, Control, and Intelligent systems, CYBER 2024

作者： Han, Zhiqiang Gong, Jun Qiao, Yu School of Vehicle and Transportation Engineering Taiyuan University of Science and Technology Taiyuan030024 China Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang110016 China

ISBN: (纸本)9798331506056

the utilization of intelligent vehicles for detecting road anomalies has become a relatively common phenomenon. the existing road disease detection workload is large, the robustness is not high, and small diseases are easily ignored, which brings huge challenges to road disease detection. A road disease detection model named RDDS based on YOLOv5 is proposed. Based on the YOLOv5 algorithm, we incorporate Transformer encoder blocks into the head part to form Transformer Prediction Heads (TFE), expanding their number to four. this enhancement aims to improve the model's capability to detect small targets and road diseases of different scales. In addition, we introduce the convolutional block attention model (CBAM) to make the network pay more attention to important channels and spatial locations, thereby improving the performance and generalization ability of the model. Aiming at the problems of low resolution and insufficient data volume in current road disease data sets, we propose a new road disease detection data set RDDSC. Finally, we conducted experiments on the RDDSC data set. the experimental results showed that compared with the original YOLOv5, the RDDS parameters increased slightly, while the detection accuracy was significantly improved. Compared with existing detection algorithms, RDDS has obvious advantages in road disease detection. © 2024 IEEE.

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Virtual Reality-Based Teleoperation System for Robot Forklifts 25

Virtual Reality-Based Teleoperation System for Robot Forklif...

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25th IEEE international conference on Autonomous Robot systems and Competitions, ICARSC 2025

作者： Couto, Manuel B. Petry, Marcelo R. Mendes, Abel Silva, Manuel F. INESC TEC - Institute for Systems and Computer Engineering Technology and Science CRIIS - Centre for Robotics in Industry and Intelligent Systems Porto4200-465 Portugal University of Porto FEUP - Faculty of Engineering Porto4200-465 Portugal Flowbotic Coimbra3030-199 Portugal ISEP - Instituto Superior de Engenharia do Porto Instituto Politécnico do Porto Porto4249-015 Portugal

ISBN: (纸本)9798331538606

the growing reliance on e-commerce and the demand for efficient intralogistics operations have increased the need for automation, while labour shortages continue to pose significant challenges. When combined with the inherent risks of forklift operation, this circumstance prompted businesses to look for robotic solutions for intralogistics tasks. However, robots are still limited when they come across situations that are outside of their programming scope and often need assistance from humans. To achieve the long-term goal of enhancing intralogistics operation, we propose the development of a virtual reality-based teleoperation system that allows remote operation of robot forklifts with minimal latency. Considering the specificities of the teleoperation process and network dynamics, we conduct detailed modelling to analyse latency factors, optimise system performance, and ensure a seamless user experience. Experimental results on a mobile robot have shown that the proposed teleoperation system achieves an average glass-to-glass latency of 368 ms, with capturing latency contributing to approximately 60% of the total delay. the results also indicate that network os-cillations significantly impact image quality and user experience, emphasising the importance of a stable network infrastructure. © 2025 IEEE.

关键词： Mobile robots

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An Adaptive Variable Selection Algorithm for Gated Recurrent Unit Based on Sensitivity Analysis and Nonnegative Garrote 5

An Adaptive Variable Selection Algorithm for Gated Recurrent...

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5th international conference on robotics, Control and automation Engineering, RCAE 2022

作者： Xu, Cong Yan, Chunlai Wu, Xiuliang Pan, Changchun Sun, Kai School of Information and Automation Qilu University of Technology Shandong Acadamy of Sciences Jinan China College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China Shanghai Jiao Tong University Laboratory of Navigation and Location Based Services Shanghai China

ISBN: (纸本)9781665459419

In this study, sensitivity analysis and nonnegative garrote (NNG) are combined to realize adaptive variable selection for gated recurrent unit (GRU). Firstly, the sensitivity analysis based on variance decomposition is used to quantify the correlation between each input variable and the output variable, and the total sensitivity index of each input variable is calculated. Secondly, the total sensitivity index is added to the NNG as an adaptive weight vector to achieve adaptive variable selection. Finally, an artificial dataset with the characteristic of time series is used to verify the effectiveness of the proposed algorithm. Simulation results show that the proposed algorithm can identify the relevant variables effectively and improve the predictive performance of the model. © 2022 IEEE.

关键词： Sensitivity analysis

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Autonomous Conscious Humanoid Robot System 5

Autonomous Conscious Humanoid Robot System

引用

5th international conference on robotics, Intelligent Control and Artificial Intelligence, RICAI 2023

作者： Zhang, Zhijun Yu, Haomin Wang, Wentong Luo, Yamei School of Automation Science and Engineering South China University of Technology Guangzhou China School of Automation Science and Engineering School of Design South China University of Technology Guangzhou China

ISBN: (纸本)9798350357950

In order to enable intelligent robots to have autonomous consciousness and make decisions autonomously, and generate behaviors safely and ethically, an autonomous conscious humanoid robot (ACHR) architecture is proposed and designed in this paper. the ACHR is mainly composed of mental system, environment perception system and behavior generation system. When the robot is stimulated externally in an environmental interaction, or generates an internal motivation due to an internal need, the stimulation is analyzed and goals of the robot are generated. then goals are decomposed and logically sorted through the mental system, and sent into the behavioral decision-making system. Finally, behavior decision that meet moral ethics and safety principle is transferred to the behavior generation module so that the robot can generate behaviors. Compared with existing humanoid robots, the ACHR proposed in this paper combines large-scale models with generative intelligence technology and it is more autonomous. the framework of autonomous conscious humanoid robot proposed in this paper can promote the development of conscious robot in the future and provide a new idea for the development of intelligent robots. © 2023 IEEE.

关键词： Autonomous conscious behavior generation environment perception mental system moral ethics

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Decision-Making Framework For AMR Fleet Size In Manufacturing Environments 25

Decision-Making Framework For AMR Fleet Size In Manufacturin...

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25th IEEE international conference on Autonomous Robot systems and Competitions, ICARSC 2025

作者： Rema, Catarina Santos, Romao Piqueiro, Henrique Matos, Diogo Miguel Oliveirat, Paulo Moura Costa, Pedro Silva, Manuel F. Department of Engineering Vila Real Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science CRIIS - Centre for Robotics in Industry and Intelligent Systems Porto4200-465 Portugal Faculty of Engineering Porto4200-465 Portugal ISEP Polytechnic of Porto rua Dr. António Bernardino de Almeida Porto4249-015 Portugal JPM Industry Vale de Cambra3731-901 Portugal

ISBN: (纸本)9798331538606

Industry 4.0 is transforming manufacturing environments, with robotics being a key technology that enhances various capabilities. the flexibility of Autonomous Mobile Robots has led to the rise of multi-robot systems in industrial settings. Considering the high cost of these robots, it is essential to determine the best fit of number and type before making any major investments. Simulation and modeling are valuable decision-support tools, allowing the simulation of different setups to address robot fleet sizing issues. this paper introduces a decision-support framework that combines a fleet manager software stack with the FlexSim simulator, helping decision-makers determine the most suitable mobile robots fleet size tailored to their needs. Unlike previous approaches, the developed solution integrates the same real robot coordination software in both simulation and actual deployment, ensuring that tested scenarios accurately reflect real-world conditions. A case study was conducted to evaluate the framework, involving multiple tasks of loading and unloading materials within a warehouse. Five different scenarios with varying fleet sizes were simulated, and their performances assessed. the analysis concluded that, for the case study under consideration, a fleet of three robots was the most suitable, considering relevant key performance indicators. the results confirmed that the developed solution is an effective alternative for addressing the problem and represents a novel technology with no prior state-of-the-art equivalents. © 2025 IEEE.

关键词： Multipurpose robots

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An Automatic System for Manipulation and Rotation of Early Stage 2-Cell Mouse Embryos 5

An Automatic System for Manipulation and Rotation of Early S...

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5th international conference on Manipulation, automation, and robotics at Small Scales (MARSS)

作者： Abu Zanouneh, Basil Mills, James K. Univ Toronto Dept Mech & Ind Engn Toronto ON M5S 3G8 Canada Univ Toronto Mech & Ind Engn Toronto ON M5S 3G8 Canada

ISBN: (数字)9781665459730

ISBN: (纸本)9781665459730

Micromanipulation of biological cells such as embryos during preimplantation genetic diagnosis (PGD) requires delicate handling of cells. Specifically, accurate control of the embryo orientation is essential to gain a more favourable position for zona breaching and blastomere biopsy, ensuring embryo survival. Manual embryo reorientation is achieved by aspirating and releasing the embryo arbitrarily using a vacuum-equipped micropipette until the embryo reorients itself in a favourable manner. Unfortunately, this trial and error approach heavily relies on the operator's skill, ultimately reducing biopsy success rates due to reduced precision in reorientation and ablation. In this study, an automatic image-based feedback orientation controller for early-stage embryos, using conventional IVF lab equipment, is proposed to automate the process of cell reorientation. Rotation of the embryo is achieved by rolling the embryo using a micropipette which grasps the embryo but allows slippage to permit the embryo to roll while in contact with a glass slide substrate. the substrate is mounted on a variable speed x,y stage which is controlled using one of two image-based rotation controllers investigated. the proposed control algorithms estimate the angular velocity of the embryo to determine the rotation angle, creating an error signal when differenced from the reference angle to drive a PID controller that changes the speed of the substrate. the first proposed controller uses the optical flow of the image feed to detect the cell rotation event and uses the kinematic model of the setup to determine the rotation angle. the second proposed controller uses the optical flow as a feedback signal in real-time to estimate the embryo rotation angle. Experimental results with both proposed controllers demonstrate accurate reorientation of the blastomeres, to lay the first steps towards a fully automated cell manipulation system.

关键词： Embryo automation Robot kinematics Biopsy Process control Parallel processing Real-time systems

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Construction Technology Tools Impacting the AEC Industry in the Last 5 Years 20th

Construction Technology Tools Impacting the AEC Industry in ...

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20th international conference on Computing in Civil and Building Engineering-ICCCBE

作者： Toyin, James Olaonipekun Sattineni, Anoop Fasoyinu, Ayodele A. Azhar, Salman Auburn Univ McWhorter Sch Bldg Sci Auburn AL 36849 USA

ISBN: (纸本)9783031842108;9783031842085;9783031842078

In modern construction projects, professionals like architects, engineers, contractors (AEC), and owners who are actively involved in projects use various technologies and related software for communication, coordination, and project execution. these include Building Information Modeling (BIM), mobile technologies, camera technologies, drones, robotics, and Artificial Intelligence (AI) among others. these technologies are making a significant impact in the construction industry. However, we do not fully understand the extent and focus of their impact yet. this study investigates how these modern construction technologies affect the activities of the construction industry supported with bibliometric network mapping findings. the study used VOSviewer to analyze the bibliometric data and a critical review of shortlisted papers was conducted. the bibliometric analysis reveals the most contributing document source, co-citation of authors, and co-occurring keyword network mapping. the study findings highlight the current emerging technologies and their significant area of application in the construction industry. It was found that recently virtual reality family, unmanned aerial systems (UAS), robotics in construction, machine learning (ML)/AI, and BIM are the most researched technologies impacting the construction industry. the practical implications extend to enhancing technology acceptance, implementation, and understanding within the AEC industry, fostering global awareness and knowledge for stakeholders and future researchers.

关键词： automation in Construction Emerging Technologies Mobile Apps

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