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检索条件"任意字段=Proceedings of the 2020 2nd International Conference on Robotics Systems and Vehicle Technology"

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RSVT 2020 - proceedings of 2020 2nd international conference on robotics systems and vehicle technology

RSVT 2020 - Proceedings of 2020 2nd International Conference...

引用

2nd international conference on robotics systems and vehicle technology, RSVT 2020

ISBN: (纸本)9781450389068

The proceedings contain 21 papers. The topics discussed include: fuzzy comprehensive evaluation of customer satisfaction of high speed rail express based on AHP;evolutionary analysis of Chinese high-speed railways network;subway network critical nodes detection based on improved PageRank algorithm;detection method for polygonalization of wheel treads based on dynamic response;a test cases generation method for ATP;the impact of China railway express on urban economic development;study on the construction and application of the water emergency rescue equipment system;research on the application of WLSM in ship traffic fundamental diagram model;analysis of vessel abnormal behavior detection;and research on optimization of the container exchange mode of cross-border highway transportation between china and Vietnam

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Coordination Frameworks for IoT-Driven Swarm robotics Communication 2

Coordination Frameworks for IoT-Driven Swarm Robotics Commun...

引用

2nd international conference on Machine Learning and Autonomous systems, ICMLAS 2025

作者： Agrawal, Ayush Kumar Kumar, Jayendra Kumar, Avanish Anumeha Yadav, Arvind R. National Institute of Technology Jamshedpur Department of Electronics and Communication Jamshedpur India Delhi Technological University Department of Electrical Engineering Delhi India Government Women's Polytechnic Jamshedpur Department of Electronics and Communication Jamshedpur India Institute of Technology Nirma University Department of Electronics and Instrumentation Engineering Ahmedabad India

ISBN: (纸本)9798331505745

The Internet of Things (IoT) has revolutionized global device interconnectivity, fostering seamless data exchange through expansive sensing networks. Similarly, swarm robotics emulates the collective behaviors observed in nature, such as bird flocks and ant colonies, aiming to adapt these principles for practical use. This paper explores the dynamics of robotic swarms operating under a centralized network model using master-slave communication. Two implementation approaches are examined: direct, small-scale interactions utilizing device MAC addresses and large-scale connectivity facilitated by an IoT-based cloud server. Our experiments employ the NodeMCU ESP8266 platform, which utilizes the IEEE 802.11 Wi-Fi standard for data handling and transfer. For cloud-based communication, we utilize the ThingSpeak server to manage data flow. This study evaluates the strengths and limitations of these approaches in fostering swarm behavior, aiming to derive strategies for enhancing the performance and coordination of swarm robotic systems. © 2025 IEEE.

关键词： Signaling

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Collision Classification for Unmanned Surface vehicle using Inertial Measurement Unit Data 2

Collision Classification for Unmanned Surface Vehicle using ...

引用

2nd international conference on Mechatronics, Control and robotics, ICMCR 2024

作者： Nguyen, Quang Luu, Toan Tran, Thien Nguyen, Chuong Tran, Minh Nguyen, Hung Rmit University Vietnam School of Science Engineering & Technology Viet Nam University of Tasmania Australian Maritime College Australia

ISBN: (纸本)9798350396096

In the development of digital twin systems for unmanned surface vehicles (USVs), collision classification is a fundamental feature to implement. Integrating collision position information into remote control systems significantly enhances operator situational awareness and facilitates effective motion control strategies even when camera visitor is compromised by challenging environmental conditions. This paper presents a three-step approach for collision classification employing onboard inertial measurement unit (IMU) data. In the first step, the sensor measures proprioceptive data during the emulated collision between the remote-controlled model scale ship and a stationary obstacle. Secondly, this time-series data is processed via wavelet transform followed prior to being fed into a deep neural network in the third step to classify collision into three types: bow-side (front), port-side (left), and starboard-side (right) collisions. The achieved classification accuracy of 96.66% shows the promising potential for integrating this approach into real-time digital twin systems. © 2024 IEEE.

关键词： Deep neural networks

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Autonomous Number Plate Detection System for vehicle Identification and Tracking 2

Autonomous Number Plate Detection System for Vehicle Identif...

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2nd international conference on Recent Trends in Microelectronics, Automation, Computing, and Communications systems, ICMACC 2024

作者： Nareddy, Neha Sri Polneni, Abhinaya Baithi, Rekha Kunchamwar, Pratyusha Suvarna, Sunil Kumar Battu, Durgabhavani Budda, Naveena Agarwal, Vikas Munimanda, Premchander AGVs Group Hyderabad India Malla Reddy Engineering College for Women Department of Information Technology Hyderabad India Ideabytes Software India Private Limited Hyderabad India School of Computer Science Georgia Tech Atlanta United States School of Computer Science and Engineering Malla Reddy Engineering College for Women Hyderabad India

ISBN: (纸本)9798350366570

The autonomous number plate detection system plays a crucial role in modern transportation, law enforcement, and security infrastructure. Technical approaches using artificial intelligence, machine learning, and computer vision are actively researched to achieve ease of maintenance through real-time vehicle detection. The recent development has drastically improved the accuracy of object detection and recognition systems in deep neural networks. Using these techniques, vehicle number plates can easily be detected autonomously for vehicle identification and tracking. Here, we have used a custom-trained TensorFlow-based number plate detection method to autonomously detect vehicles using images captured by a smartphone, or surveillance camera. It showed an impressive mAP @ 0.5 of 95%, and demonstrated limitations in long-distance detection, leading us to designate it as the optimal vehicle detection model for accuracy. We designed and developed an autonomous number plate detection system for vehicle identification and tracking, which includes web-based, android-based, and embedded-based applications. In addition, we evaluated the proposed autonomous number plate detection system with real-time images and videos. The proposed system achieved real-time vehicle detection and tracking, boasting a commendable 90% detection accuracy. © 2024 IEEE.

关键词： Deep neural networks

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Next-Gen AI in Healthcare: Shaping the Future of Precision and Preventive Medicine 2

Next-Gen AI in Healthcare: Shaping the Future of Precision a...

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2nd international conference on Machine Learning and Autonomous systems, ICMLAS 2025

作者： Tale, Yash Verma, Prateek Pake, Tanushri Faculty of Engineering and Technology Department of Artificial Intelligence and Machine Learning Maharashtra Wardha442001 India

ISBN: (纸本)9798331505745

Healthcare professionals benefit from revolutionary changes because of current developments in artificial intelligence technology, which optimise precision medicine and preventive medical practices. Artificial Intelligence technology transitioned from basic rule-based systems into complex deep learning models that accurately analyse intricate medical data over decades. This paper investigates AI's significant influence on healthcare, including diagnostic and treatment operations, current robotics, and automated patient care systems. AI systems assist medical staff by improving precise diagnoses and simplifying treatments while boosting patient supervision through automated intelligence. The advantages of AI medicine simultaneously trigger crucial legal and moral dilemmas about healthcare data security, automated system bias, and AI-developed judgmental processes. The paper examines these issues regarding AI health care deployment while presenting guidelines to establish responsible and equitable use of AI technology in medical applications. The discussion explores how AI will influence genomic research and robotic surgery while demonstrating its potential to transform healthcare practice globally. This paper examines the complete transformation of contemporary medical care through an analysis of AI effects with identified difficulties and forthcoming potential. © 2025 IEEE.

关键词： Surgery

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2023 2nd international conference on robotics, Artificial Intelligence and Intelligent Control, RAIIC 2023

2023 2nd International Conference on Robotics, Artificial In...

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2nd international conference on robotics, Artificial Intelligence and Intelligent Control, RAIIC 2023

ISBN: (纸本)9798350328004

The proceedings contain 72 papers. The topics discussed include: intelligent unmanned aerial vehicle flight control and task execution system;research on external damage detection of transmission line in complex background;low SNR FM signal preprocessing method based on low-order cyclic statistics and WVD distribution;a modified U-Net with dilated convolution and CBAM;rotating 3D laser mapping system for multi-rotor drones;a dual-arm handling robot for nuclear emergency tasks;multi-robot cooperative search for radioactive sources based on improved particle swarm optimization;design of active disturbance rejection attitude controller for tethered UAV with parameter tuning;design and implementation of a three-degree-of-freedom intelligent logistics robot;research on obstacle avoidance planning of soft robotic arm based on the idea of cutting-edge growth;and a force-aware reproduction-based workspace mapping method for human-computer cooperative systems.

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Application of Robotic technology in Intervention Treatment of Autism 2

Application of Robotic Technology in Intervention Treatment ...

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2nd international conference on Biomedical and Intelligent systems, IC-BIS 2023

作者： Cui, Weiwei Xiao, Sanrong Jiangxi University of Traditional Chinese Medicine Jiangxi Nanchang China

ISBN: (纸本)9781510666733

With the progress and development of science and technology, robotics technology is increasingly used in the intervention treatment of children with autism spectrum disorders to help them grow better. This article discusses the application of robotics in the treatment of autism by combing related research at home and abroad, and looks forward to future research. © 2023 SPIE.

关键词： robotics

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A Fatigue Driving Recognition Method Based on WOA-Attention-GRU 2

A Fatigue Driving Recognition Method Based on WOA-Attention-...

引用

2nd international conference on robotics, Artificial Intelligence and Intelligent Control, RAIIC 2023

作者： Li, Minghong Li, Zuojin Shi, Lanyang Li, Dongyang Chongqing University of Science and Technology School of Electrical Engineering Chongqing China

ISBN: (纸本)9798350328004

This academic paper addresses the challenges related to the limited accuracy and practicality of laboratory simulation data in driving tests. The main goal is to investigate driving behavior under real-world vehicle conditions. To achieve this, the paper proposes a dual time window approach that effectively captures time series lengths. Moreover, it extracts the intersection of operational behaviors and employs the verification recursive feature elimination method to identify the optimal fatigue feature indices. These indices are then combined with whale optimization and gate-cycle control neural network techniques to detect fatigued driving more effectively. To enhance recognition accuracy, an attention mechanism is introduced. Experimental results using vehicle data demonstrate that the proposed method achieves an 89.84% accuracy rate in detecting three-level fatigued driving, with a false negative rate of 10.99%. © 2023 IEEE.

关键词： Intelligent vehicle highway systems

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Refueling Port Identification and Positioning of Refueling Robot Based on RGB-D Camera 2

Refueling Port Identification and Positioning of Refueling R...

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2nd international conference on Innovations and Development of Information Technologies and robotics, IDITR 2023

作者： Nan, Liu Weiguang, Shao Xiaohao, Yan Jia, Tao Changhui, Yang Yi, Wang Ming, Yang Academy of Military Sciences Academy of Systems Engineering Beijing China School of Mechanical Engineering Chongqing University of Technology Chongqing China

ISBN: (纸本)9798350345575

In order to realize the automatic operation of the refueling robot, the identification and positioning system of the refueling robot is designed for the rotary piston refueling port of a special vehicle. RealSense D435i RGB-D camera and ring light source were used to build a visual system, and Hoff gradient method and Shi-Tomasi method were used to extract the features of the refueling port. Then, 3D positioning of the refueling port was realized through the registration of color image and depth image, and visual guidance was realized through hand-eye calibration. The experimental verification is carried out on the built experimental platform. The experimental results show that the positioning error of the refueling port is within ±1mm and the angle error of the slot is within 1° through the RGB-D camera method of identification and positioning of the refueling port proposed in this paper. © 2023 IEEE.

关键词： Robots

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ADVANCEMENTS And CHALLENGES IN MEDICAL And HEALTHCARE robotics 2

ADVANCEMENTS AND CHALLENGES IN MEDICAL AND HEALTHCARE ROBOTI...

引用

2nd international conference on Mechatronic Automation and Electrical Engineering, ICMAEE 2024

作者： Nie, Hongbo University of Illinois Urbana-Champaign UrbanaIL61820 United States

ISBN: (纸本)9781837242672

Medical and healthcare robotics is a fast-developing field that has significant impacts in the healthcare domain. This article discusses two prominent applications of medical robotics, namely surgical robotics and rehabilitation robotics. Surgical robotics, such as the Da Vinci system, considerably enhances and revolutionizes surgical procedures by enhancing precision, reducing human error, and providing more detailed surgical information. However, surgical robotics systems possess drawbacks such as high cost and high operating barriers. Rehabilitation robotics, such as InMotion, help patients in recovering physical abilities by recreating the recovery environment and providing repeated recovery training, providing specialization and flexibility in various rehabilitation settings. Despite their advantages, these systems are limited in terms of cost and mechanical design. This article also discusses the challenges and future trends in the development of medical robotics. Underline the combination of artificial intelligence as a future trend to increase robotic system's efficiency and outcomes. Economic, technical, and ethical challenges are the three main challenges faced by medical robotics and need to be overcome to achieve broader adoption and acceptance from the public. © The Institution of Engineering & technology 2024.

关键词： Medical robotics

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