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检索条件"任意字段=3rd International Conference on Informatics in Control, Automation and Robotics"

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Dentistry in the Age of automation: The Benefits and Challenges of AI and robotics

Dentistry in the Age of Automation: The Benefits and Challen...

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Advance Computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： Joel Alanya-Beltran Jesús Padilla-Caballero S. K. Shah Srinivas O. Parveen Kumar Tomar V. Mareeskannan Information and Communication Technology Universidad Tecnológica del Perú Lima Peru South America Postgraduate Department Universidad César Vallejo Ate Peru South America Uttaranchal Institute of Technology Uttaranchal University Dehradun Uttarakhand India School of Computer Science and Artificial Intelligence SR University Warangal Telangana India Department of Electronics & Communication Kurukshetra University Haryana India

The integration of artificial intelligence (AI) and robotics into healthcare has been gaining momentum over the years. However, there is a gap in the understanding and awareness of dental practitioners regarding the use of AI and robotics in dental practice and oral healthcare. This study aimed to evaluate the awareness and understanding of dental practitioners regarding the application of AI and robotics in oral care management. The study was conducted using a self-directed questionnaire on 350 dental professionals aged between 20 to 55 years. The study found that the majority of respondents (59.1%) believed that AI would significantly enhance both dental and healthcare. Additionally, 54.9% of respondents predicted that AI would eventually replace dentists and medical professionals. A significant percentage of respondents (63.6%) agreed that AI could be utilized for 3-D implant placement and scheduling. The findings of this study have several implications for dental practice and education. The study highlights the need for dental practitioners to keep up with technological advancements in AI and robotics to provide the best care for their patients. The findings suggest that policymakers should consider the integration of AI and robotics into the healthcare system to improve oral health outcomes. Further research is needed to evaluate the effectiveness of AI and robotics in dental practice and oral healthcare.

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Designing of an Autonomous System for Electric Vehicle

Designing of an Autonomous System for Electric Vehicle

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international conference on robotics,Electrical and Signal Processing Techniques (ICREST)

作者： Towfiq Mahmud Mridul Abidur Rahman Sagor Faisal Ahmad Mridha Md. Mosaraf Hosen Bhuiyan Md. Jahid Hasan Md. Abdur Rahman Department of Electrical and Electronics Engineering American International University-Bangladesh Dhaka Bangladesh Department of Computer Science and Engineering Independent University Bangladesh Dhaka Bangladesh Faculty of Engineering American International University-Bangladesh Dhaka Bangladesh

The creation of an autonomous vehicle has two major goals: to minimize the amount of labor that must be performed manually and to provide the automobile with superior intelligence. In order to turn a standard automobile into an autonomous vehicle that can drive itself around a predetermined map (in this case, a university campus), several modifications need to be made. The outcomes of this project will also contribute to the creation of a more technologically advanced campus atmosphere. Additional responsibilities include taking control of the horn system and being in charge of the headlights while also receiving the response signal from the station. In order to guarantee that everything functions correctly, we utilized components such as the Raspberry Pi, light sensors, motors, Arduino Uno, ultrasonic sensors, buzzers, and cameras. A temporary model is built to ensure that this project is successful right from the start. The training model trains the deep learning approach using images captured by a camera in manual mode, which enables the vehicle to operate in autonomous mode using the multilayered neural network that was taught. The final prototype utilizes image processing methods to track lanes. A few image processing technologies, such as intelligent edge detection, provide autonomous movement capabilities. These algorithms were built and tested on the vehicle. The system operated without a hitch, and the data gathered was within reasonable bounds of expectations. As well as demonstrating how the autonomous system of an electric car works.

关键词： Training automation Tracking Cameras Sonar navigation Robot sensing systems Electric vehicles

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Registration of 3D Point Cloud with Rotation Invariant Features Learning for Partial Overlapping 23

Registration of 3D Point Cloud with Rotation Invariant Featu...

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3rd international conference on robotics and control Engineering, RobCE 2023

作者： Zhao, Lan Tang, Guoyin Du, Yijun She, Yuan Wen, Xiulan Nanjing Institute of Technology China

ISBN: (纸本)9781450398107

Point cloud registration attempts to register a pair of point cloud through rigid transformation to form a complete point cloud. Traditional methods rely on searching closest neighbors in the feature space and filtering the outliers through RANSAC to find the point-to-point correspondence. Recently, learning-based algorithms incorporate learning to local feature descriptors and perform better than the traditional methods. However, they continue to adopt the feature-based matching and point-level correspondence approach for pose estimation. In this work, attention mechanism is incorporated to learning transformation-invariant features and an end-to-end solution is used to predict the correspondences. A two-stream feature extraction architecture consisting primarily of feature extractor and transformer learns the rotation-invariant features through transformer layer. The network learns to predict the point coordinates mapped to the other point cloud and the probability between the correspondences in the overlap region. The rigid relative pose transformation can be solved from the predicted correspondences in a closed form. The registration method is applied to pose estimation in the robotic grasping and sorting task and achieves favorable result. © 2023 ACM.

关键词： Forecasting

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Centimeter-Scaled Self-assembly of a Chessboard Pattern 17th

Centimeter-Scaled Self-assembly of a Chessboard Pattern

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17th international conference on informatics in control, automation and robotics, ICINCO 2020

作者： Jílek, Martin Bertl, Lukáš Kulich, Miroslav Přeučil, Libor Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Prague Czech Republic

ISBN: (纸本)9783030924416

The tile-based self-assembly is an interesting addition to the additive manufacturing framework. The main idea, utilization of randomness to construct highly ordered structures, puts it apart from the conventional methods. Moreover, it is an interesting (elementary) research topic on its own, since the mechanism is a fundamental driving force in the rise of many natural structures, including living organisms. Although extensively studied mainly in nanotechnology, we perceive a lack of comprehensive studies of the process around a scale of centimeters. Thus, we present an extended experimental study of a chessboard assembly, based on the centimeter-scaled self-assembling system with magnetically bonded tiles. The tiles assemble on a 2D plane while being mechanically excited by an industrial manipulator. Seven significant events that lead to growth or to decay of assemblies are described. Further quantitative analysis confirmed the dependency of assembly progress on the system temperature and suggested lower bounds of an assembly error and upper bounds of assembly sizes for different temperatures. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Biology

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Study of Latency for a Teleoperation System with Video Feedback using Wi-Fi and 4G-LTE Networks 3

Study of Latency for a Teleoperation System with Video Feedb...

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3rd international conference on Communications, Information, Electronic and Energy Systems, CIEES 2022

作者： Pop, Bogdan Moldovan, Cristian Florescu, Florin Popescu, Ioan Emil Nokia Networks Communications Department Timisoara Romania University Politehnica Timisoara Mechatronics And Robotics Department Timisoara Romania

ISBN: (数字)9781665491495

ISBN: (纸本)9781665491495

In this study was developed a teleoperable robotic arm with the aim of testing and analysing the teleoperation latency for three different communication channels. A closed-loop control (direct teleoperation) was adopted, with bidirectional communication, the operator receiving the necessary information for the teleoperation process in real-time from a video camera mounted on the robotic arm. In order to connect the control device with the teleoperable robotic arm were used three different communication channels and the latency of the teleoperation process was measured and analyzed for each of these three communication channels. This paper contains information about the mechanical, hardware and software parts of the developed robotic system. It also presents the communication channels that were tested and the results obtained. The aim is to identify the advantages and disadvantages of each of these three communication channels, to detect the limitations and to ascertain to what extent the teleoperation of such a system can be done efficiently. © 2022 IEEE.

关键词： Remote control

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Decentralized Solar PV/Battery-based Energy Management for Isolated Areas

Decentralized Solar PV/Battery-based Energy Management for I...

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robotics, automation, Artificial-intelligence and Internet-of-Things (RAAICON), 2019 IEEE international conference on

作者： Md Ismail Hossain Md. Tanvir Islam Mim Tanay Banik Md Rafsan Jany Md Mukter Hossain Emon Abu Shufian Dept. of Electrical & Electronic Engg American International University-Bangladesh Dhaka Bangladesh Dept. of Electrical Engineering Lamar University Texas USA

ISBN: (数字)9798331534400

ISBN: (纸本)9798331534417

In remote/isolated areas, access to reliable electricity can drastically improve the quality of life, supporting essential services like healthcare, education, and local businesses. However, in regions where extending the power grid is impractical, off-grid solar photovoltaic (PV) systems with battery storage have emerged as a promising solution. This study presents an optimized energy management system for off-grid solar PV systems, specifically designed to address the challenges of fluctuating solar irradiance, varying load demands, and battery longevity in isolated applications. Integrating advanced Maximum Power Point Tracking (MPPT) algorithms ensures efficient energy capture and stable power delivery even under rapidly changing environmental conditions. The Battery Management System (BMS) employs a bidirectional DC-DC converter to precisely control charging and discharging cycles, contributing to extended battery lifespan and optimized energy flow. Through simulations in MATLAB, the proposed system demonstrates rapid DC bus voltage stabilization at approximately 400 V within 0.1 seconds after load variations, maintaining consistent power output. These results indicate that the optimized energy management approach enhances system efficiency and significantly improves reliability, making it a robust and sustainable solution for rural electrification in off-grid settings.

关键词： Maximum power point trackers Solar irradiance Electricity Simulation Battery management systems DC-DC power converters Electrification Batteries Power system reliability Reliability

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2021 3rd international conference on Electrical Engineering, EECon 2021

2021 3rd International Conference on Electrical Engineering,...

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3rd international conference on Electrical Engineering, EECon 2021

ISBN: (纸本)9781665417129

The proceedings contain 23 papers. The topics discussed include: workshop on ‘soft robotics for biomedical applications’: a soft robotics approach to understand how the brain organizes the body to make real-time survival in natural environments more efficient;workshop on ‘soft robotics for biomedical applications’: facial expression rendering for high fidelity robotic patients;validation of Meteonorm 8 for energy estimation of solar power plants in Sri Lanka, using PVsyst software;optimum wind turbine design and analysis to harvest wind energy from fast-moving vehicles on highways;development of a software tool for power flow analysis in a distributed generation integrated radial distribution system;short-term wind power forecasting using a Markov model;application of machine learning algorithms for predicting vegetation related outages in power distribution systems;and influence of water and powder contaminants on dielectric strength of transformer oil.

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Domain Adaptation in LiDAR Semantic Segmentation by Aligning Class Distributions 18

Domain Adaptation in LiDAR Semantic Segmentation by Aligning...

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18th international conference on informatics in control, automation and robotics (ICINCO)

作者： Alonso, Inigo Riazuelo, Luis Montesano, Luis Murillo, Ana C. Univ Zaragoza DIIS I3A RoPeRt Grp Zaragoza Spain Bitbrain Zaragoza Spain

ISBN: (纸本)9789897585227

LiDAR semantic segmentation provides 3D semantic information about the environment, an essential cue for intelligent systems, such as autonomous vehicles, during their decision making processes. Unfortunately, the annotation process for this task is very expensive. To overcome this, it is key to find models that generalize well or adapt to additional domains where labeled data is limited. This work addresses the problem of unsupervised domain adaptation for LiDAR semantic segmentation models. We propose simple but effective strategies to reduce the domain shift by aligning the data distribution on the input space. Besides, we present a learningbased module to align the distribution of the semantic classes of the target domain to the source domain. Our approach achieves new state-of-the-art results on three different public datasets, which showcase adaptation to three different domains.

关键词： robotics Autonomous Systems LiDAR Deep Learning Semantic Segmentation Domain Adaptation

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Evaluation and development of wireless monitoring systems for an autonomous sailboat 3

Evaluation and development of wireless monitoring systems fo...

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3rd international conference on Sciences and Technology Applications, ICoSTA 2021

作者： Setiawan, J.D. Ihsan, M.S. Saputro, R. Munadi, M. Paryanto, P. Alimi, S. Mechanical Engineering Universitas Diponegoro Semarang Indonesia Robotics and Automation Laboratory UPT Laboratorium Terpadu Universitas Diponegoro Semarang Indonesia

In this study, the performance of the Long-Range (LoRa) communication and 3DR Radio Telemetry modules was evaluated. The suitability of these two communication options was assessed for the application on an autonomous sailboat prototype. The communication range and power consumption of each module are the primary factors for selection. The test results found that LoRa technology can send data stably with a range of up to 10.5 km, while the 3DR Radio Telemetry module can only send data stably up to 300 m. The LoRa technology consumes 9.56 Wh of electrical energy per day for the autonomous sailboat application, while the 3DR Radio Telemetry consumes 11.07 Wh of electrical energy per day. It was decided that LoRA technology would be implemented on the autonomous sailboat. © Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence

关键词： Telemetering equipment

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Empirical Evaluation of a Novel Lane Marking Type for Camera and LiDAR Lane Detection 18

Empirical Evaluation of a Novel Lane Marking Type for Camera...

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18th international conference on informatics in control, automation and robotics (ICINCO)

作者： Eckelmann, Sven Trautmann, Toralf Zhang, Xinyu Michler, Oliver Tech Univ Dresden Inst Traff Telemat Dresden Germany Univ Appl Sci Dresden Mechatron Dept Dresden Germany

ISBN: (纸本)9789897585227

Highly automated driving requires a zero-error interpretation of the current vehicle environment utilizing state of the art environmental perception based on camera and Light Detection And Ranging (LiDAR) sensors. An essential element of this perception is the detection of lane markings, e.g. for lane departure warnings. In this work, we empirically evaluate a novel kind of lane marking, which enhances the contrast (artificial light-dark boundary) for cameras and 3D retro reflective elements guarantee a better reflection for light beams from a LiDAR. Thus intensity of point data from LiDAR is regarded directly as a feature for lane segmentation. In addition, the 3D lane information from a 2D camera is estimated using the intrinsic and extrinsic camera parameters and the lane width. In the frame of this paper, we present the comparison between the detection based on camera and LiDAR as well as the comparison between conventional and the new lane marking in order to improve the reliability of lane detection for different sensors. As a result, we are able to demonstrate that the track can be detected safely with the LiDAR and the new lane marking.

关键词： LiDAR Point Clouds Retro Reflecting Lane Marking 3M Camera

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