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

共 2685 条记录，以下是201-210 订阅

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Low Latency Video Streaming System for VR Teleoperation over 5G Networks 3

Low Latency Video Streaming System for VR Teleoperation over...

引用

3rd IEEE international conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2024

作者： Blázovics, László Kovács, Viktor Gótzy, Márton Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Automation and Applied Informatics BudapestH-1111 Hungary

ISBN: (纸本)9798350378009

With the introduction of 5G networks, high-speed low-latency network connections became available for mobile and embedded devices without the limited range of WiFi networks. Although the source and the destination can now be hundreds of kilometres away, the communication between them can be flawless. Our goal is to have a low cost, low power, lightweight device that is able to stream video for UAV (unmanned aerial vehicles), mobile robot teleoperation over 5G networks to AR/VR (augmented/virtual reality) applications, to large distances without the need for line of sight. In this paper we compare the latency of existing low cost video streamer solutions (UAV camera streaming, single board computer) and present a custom hardware-software solution optimized for low latency, while conducting measurements over different network types (wired, campus 5G, public 5G). We have shown that the custom device was able to achieve with significantly lower latency (50-80 ms direct over direct connection, about 100-150 ms over public 5G). © 2024 IEEE.

关键词： 5G mobile communication systems

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Assessment of Depression Level Based on Multi-Scale 3D Convolution and Expression Videos 3

Assessment of Depression Level Based on Multi-Scale 3D Convo...

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3rd international conference on Computer Vision and Pattern Analysis, ICCPA 2023

作者： Cao, Qishuang Gao, Junlong Lv, Zeying Li, Mi Department of Automation Faculty of Information Technology Beijing University of Technology Beijing100124 China Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing100124 China Engineering Research Center of Intelligent Perception and Autonomous Control Ministry of Education Beijing100124 China Engineering Research Center of Digital Community Ministry of Education Beijing100124 China

ISBN: (纸本)9781510667563

The automatic diagnosis of depression using deep learning has recently shown significant progress, and 3DCNN has been applied to assessing depression levels from videos. There are two problems to be encountered applying 3DCNN, including insufficient data to train the model and an insufficient diversity of features extracted on a single scale. An approach is presented in this paper to address these issues. Firstly, we augmented the raw data by adding noise and applying rotations to increase the amount of the training set. Secondly, we constructed a 3DCNN to extract more diverse features from multiscales. We evaluated our proposed method on the AVEC 2014. Our approach achieved MAE=7.13 and RMSE=9.16, demonstrating its effectiveness in improving the accuracy of depression assessment compared to existing approaches. © 2023 SPIE.

关键词： Deep learning

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Underwater Robot Pose Estimation Using Acoustic Methods and Intermittent Position Measurements at the Surface 23

Underwater Robot Pose Estimation Using Acoustic Methods and ...

引用

23rd IEEE international conference on automation, Quality and Testing, robotics (AQTR)

作者： Maer, Vicu-Mihalis Tamas, Levente Busoniu, Lucian Tech Univ Cluj Napoca Dept Automat Cluj Napoca Romania

ISBN: (纸本)9781665479332

Global positioning systems can provide sufficient positioning accuracy for large scale robotic tasks in open environments. However, in underwater environments, these systems cannot be directly used, and measuring the position of underwater robots becomes more difficult. In this paper we first evaluate the performance of existing pose estimation techniques for an underwater robot equipped with commonly used sensors for underwater control and pose estimation, in a simulated environment. In our case these sensors are inertial measurement units, Doppler velocity log sensors, and ultra-short baseline sensors. Secondly, for situations in which underwater estimation suffers from drift, we investigate the benefit of intermittently correcting the position using a high-precision surface-based sensor, such as regular GPS or an assisting unmanned aerial vehicle that tracks the underwater robot from above using a camera.

关键词： Pose estimation Extended Kalman Filter underwater robotics Robot Operating System

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TRAINMAN-MAGOS: capture of dexterous assembly manufacturing know-how as a new efficient approach to support robotic automation 3

TRAINMAN-MAGOS: capture of dexterous assembly manufacturing ...

引用

3rd international conference on Industry 4.0 and Smart Manufacturing (ISM)

作者： Dacal-Nieto, Angel Agriopoulos, Greg Mendez, Teresa Calle, Julian D. Paz-Cibeira, Ruben Ouranis, Vasilapostolos Fernandez-Gonzalez, Carmen CTAG Ctr Tecnol Automoc Galicia Proc & FoF Dept Pol Ind A Granxa 36475 O Porrino Spain Quanta & Qualia Pireos 160 Athina 11854 Greece

Many industrial processes remain being executed manually due to the necessary dexterity to perform them and their complexity to be replicated and automated. In this paper, we present TRAINMAN-MAGOS, a fmger-tracking based solution which uses a sensorized glove to gather hand movements, and translates them into a tangible set of instructions and trajectories to feed diverse combinations of robot and gripper models. TRAINMAN-MAGOS decreases the development time of robotic trajectories and gripping strategies in extreme dexterity implementations. The solution has been validated on automotive glass door assembly operations, introducing a new generation of technologies to impact in manufacturing productivity. (C) 2022 The Authors. Published by Elsevier B.V.

关键词： finger tracking collaborative robotics automation extended reality

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Sharenting: Navigating the Intersection of Parental Sharing and Child Cybersecurity 3rd

Sharenting: Navigating the Intersection of Parental Sharing ...

引用

3rd international conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023

作者： Trikha, Anadi Saini, Kavya Rajasthan Technical University Rajasthan Kota India International School of Informatics and Management Rajasthan Jaipur India

ISBN: (纸本)9789819784639

Sharenting happens when parents or relatives post photos of their children, usually minors, on social media. However, this has privacy-compromising and child-risking consequences, which may lead to cyber fraud. The paper aims to validate a digital parental sharing scale (DPSS) in the Indian Context. A proper process of designing and validating the scale was carried out on a sample of 250 Indian parents. With the help of analytical tools, the validity and reliability of the analysis were validated. A fourteen-item scale was validated based on social acceptance, Privacy and control, Memories and milestones, and Cyber Security. With good psychometric properties, the scale is validated as a reliable instrument for recording the level of sharenting amongst Indian Parents. The research paper is limited to understanding the level of sharenting by Indian parents. It has not explored the effects of sharenting on Indian children. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Cybersecurity

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Study of Electromagnetic Radiation Absorption Characteristics of Heterogeneous Charcoal-Containing Materials 3

Study of Electromagnetic Radiation Absorption Characteristic...

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3rd IEEE international Maghreb Meeting of the conference on Sciences and Techniques of Automatic control and Computer Engineering, MI-STA 2023

作者： Boiprav, Olga Ayad, Hisham Bogush, Vadim Shebani, Nafaa Mohamad Belarusian State University of Informatics and Radioelectronics Information Protection Department Minsk Belarus University of Zawia Electrical Engineering and Electronics Department Az-Zawiyah Libya Belarusian State University of Informatics and Radioelectronics R&d Department Minsk Belarus Sabratha University Sabratha Libya

ISBN: (纸本)9798350319897

The aim of the presented research was to establish new regularities of change of electromagnetic radiation absorption coefficient values in frequency range 0.7-17.0 GHz of the materials based on powdered charcoal, impregnated to the saturation by the alkaline earth chloride aqueous solution, depending on the following: 1) electromagnetic radiation frequency value;2) charcoal type (non-activated wood charcoal, activated wood charcoal, activated coconut charcoal). These materials were heterogeneous and flexible ones. Their outside layers were made on the base of polymer plates and mashes. The studied materials inside layers were made on the base of charcoals, impregnated to the saturation by the alkaline earth chloride aqueous solution. Such components are electrical conductive ones. It has been established, that electromagnetic radiation absorption coefficient values of the studied materials are more than 0.5 in frequency bands 1.45-4.0 GHz, 6.0-17.0 GHz. The minimum values of electromagnetic radiation absorption coefficient (around 0.9) have been registered in frequency band 6.5-14.0 GHz for the materials based on powdered wood charcoals. Due to these facts these materials have been classified like wideband electromagnetic radiation absorbers. They have been recommended for use in course of development of anechoic chambers for performing microwave measurements in S, X and Ku bands. © 2023 IEEE.

关键词： Chlorine compounds

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Research of robot-assisted puncture navigation based on 3D reconstruction images

Research of robot-assisted puncture navigation based on 3D r...

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robotics, automation and Intelligent control (ICRAIC), international conference on

作者： Jianying Tian School of Intelligent Robot Industry Shandong Institute of Commerce and Technology No.4516 Lvyou Road Jinan China

Aiming at the current traditional tumor puncture and interventional surgery, there are problems such as the inability to directly observe the complex interior of the organ, hand-eye coordination, and easy to lose direction, etc., a robot-assisted puncture navigation system as shown in Fig. The robot can complete the navigation of the puncture needle and assist the doctor in completing the surgery under the drive of the navigation software. The navigation system is mainly composed of a robotic puncture system, an electromagnetic localization system, and an upper computer system. In this paper, the CT 3D reconstruction software is firstly designed and integrated into the platform of the assisted puncture navigation system. The alignment technology of the preoperative assisted puncture navigation system is investigated based on the platform. The puncture error is verified to be less than 3mm through experiments, which verifies that the navigation system is reliable and has high accuracy, and it can meet the requirements of surgical use.

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Development of a Miniaturized Bedside Robotic Wrist with Multifunctional Movement Capabilities: An Analysis Based on a Simulation Environment 3

Development of a Miniaturized Bedside Robotic Wrist with Mul...

引用

3rd IEEE international conference on Digital Twins and Parallel Intelligence, DTPI 2023

作者： Zhang, Pengcheng Deng, Zhaokun Hou, Xilong Wang, Shuangyi Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Beijing China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing China Chinese Academy of Sciences Centre for Artificial Intelligence and Robotics Hong Kong Institute of Science & Innovation Hong Kong Hong Kong

ISBN: (纸本)9798350318470

Bedside robots equipped with medical devices can be effective in assisting physicians to perform specific medical tasks on mobile medical vehicles via remote operation. However, the major challenges are to make the robot small and dexterous enough to meet the clinical requirements and fit into the small space of the mobile medical vehicle. In this paper, we propose a miniaturized bedside robotic wrist based on a 6-RSU parallel mechanism with multifunctional motion capabilities. The robotic wrist can be equipped with various medical instruments, including but not limited to ultrasound probes, biopsy needles and endoscopes. To meet different clinical needs, the motion mode of the robotic wrist can be switched between decoupled and remote center of motion. To verify the effectiveness of the design, the kinematic model of the robotic wrist for two motion modes was established and different simulation studies were performed. The experimental results show that the robotic wrist has a favorable working performance to be deployed onto mobile medical vehicles, demonstrating its promising application prospects. © 2023 IEEE.

关键词： Vehicles

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Remote Sensing on a Bird-inspired Flapping Wings Robot Combined with LiDAR

Remote Sensing on a Bird-inspired Flapping Wings Robot Combi...

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robotics, automation and Intelligent control (ICRAIC), international conference on

作者： Lican Wu Yaqi Han Qingyang Zhu Yi Hao Ziming Ye Ruqi Huang Yu Cai H. Y. Fu Shenzhen International Graduate School Tsinghua University Shenzhen Guangdong China School of Electrical Engineering Guangxi University Nanning Guangxi China

The flapping wing robot (FWR), inspired by avian aerodynamics, is a distinct category of unmanned aerial vehicles (UAVs). Different to general UAVs, such as quadcopters, FWRs are featured by their superior aerodynamic capabilities, minimal noise generation, inherent stealth, and lower energy consumption. As a result, they are rapidly becoming vital tools in a variety of civilian and military activities including environmental monitoring, disaster detection, search and rescue operations, ecological conservation, and military manoeuvres. Our study introduces the comprehensive integration of a light detection and ranging (LiDAR) module, serving as a visual perception device, with a large FWR that is equipped with 2-meter, two-segment wings. Based on this setup, the geospatial information of targeted area is captured and compared to the existed topographic data.

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Improving Referring Expression Comprehension by Suppressing Expression-unrelated Proposals 3

Improving Referring Expression Comprehension by Suppressing ...

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3rd international conference on Electronic Information Engineering and Computer, EIECT 2023

作者： Wang, Qun Zhu, Feng Li, Xiang Ye, Ruida Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences Shenyang110016 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China Northeastern University Faculty of Computer Science and Engineering Shenyang110016 China Space Engineering University Department of Aerospace Engineering and Technology Beijing101416 China

ISBN: (纸本)9798350357707

The prevailing referring expression comprehension (REC) method is based on two stages: 1) detecting multiple candidate proposals using an object detector and 2) aligning proposals with text descriptions. Existing two-stage models have achieved significant improvements with excellent alignment modules. However, their alignment modules treat each proposal equally without filtering expression-unrelated proposals. These expression-unrelated proposals may interfere with the alignment modules' ability to accurately reason about the target proposal. These proposals also increase the difficulty of training alignment modules. To solve this problem, we propose a new framework, that can suppress expression-unrelated proposals for alignment modules. Specifically, we first design a suppression module, which calculates the relevance scores between the proposals and the expression by using the semantics in the expression. Then, these scores are integrated into three basic alignment modules, including subject, location, and relationship modules, to guide each module to focus on the expression-related proposals. We conduct extensive experiments on three benchmark datasets, and the results show the effectiveness of our suppression module and performance improvement. © 2023 IEEE.

关键词： Alignment

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