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检索条件"任意字段=International Conference on Pattern Analysis and Intelligence Robotics"

共 15864 条记录，以下是91-100 订阅

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Flexiv Rizon-Based Multitasking Dual-Arm Robot Platform 17th

Flexiv Rizon-Based Multitasking Dual-Arm Robot Platform

引用

17th international conference on Intelligent robotics and Applications

作者： Cui, Haochen Wang, Ye Jing, Haodong Zhang, Wen Xin, Jingmin Xi An Jiao Tong Univ Natl Key Lab Human Machine Hybrid Augmented Inte Natl Engn Res Ctr Visual Informat & Applicat Inst Artificial Intelligence & Robot 28 Xianning West Rd Xian 710049 Peoples R China

ISBN: (纸本)9789819607853;9789819607860

In recent years, significant advancements have been made in collaborative dual-arm technology for intelligent robotics. The multitasking capability of robotic arms and their ability to collaborate with humans in the same environment have garnered significant attention and research interest in the field of robotics. This paper presents a comprehensive classification and summary of recent dual-arm tasks. Through an in-depth analysis of existing research and robotic arm platforms, the current advantages and limitations of robotic arms are summarized in terms of operational precision, force control, working scenarios, and level of intelligence. Furthermore, the paper highlights the precise perception and adaptive capabilities of Flexiv Rizon in executing high-precision tasks. To lead further development in this field, we have constructed a multitasking dual-arm plat-form based on Flexiv Rizon, and we give a detailed description of the platform's hardware, software, and control interfaces. Additionally, visual light bulb installing experiment was conducted on the platform, providing an initial validation of its feasibility and effectiveness. This research provides valuable insights for the future development of multitasking robotic platforms, including the selection of robotic arms and the design of platform hardware structures.

关键词： Dual-arm Robotic Manipulation Flexiv Rizon

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analysis of Artificial intelligence and robotics Copyright Law Privacy Industry 4.0 technology Applications 4

Analysis of Artificial intelligence and Robotics Copyright L...

引用

4th international conference on Soft Computing for Security Applications, ICSCSA 2024

作者： Prabhu Rajasekar, K. Vezhaventhan, D. Chennai India Department of Humanities and Social Sciences Saveetha School of Law SIMATS Chennai77 India

ISBN: (纸本)9798331515720

Artificial intelligence and robotics the Similar to numerous other nations, the mostly addresses robotics and artificial intelligence through pre-existing legislative frameworks that have been modified to include new technologies. Although India law does not grant robots or artificial intelligence systems legal persons, it does address a number of issues regarding their use, functionality, and responsibility. The Digital Government recently published its standards, which require artificial intelligence (AI) systems to be held legally accountable. However, requiring AI systems to be held legally responsible without also endowing them with legal personality is illegal because the concept of legal personality serves as the foundation for granting rights, obligations, and accountability to people, things, and organizations. Based on this, this article explores the debates and recommendations about the legal standing of robots and artificial intelligence (AI) systems in a number of industrialized nations, including the possibility of granting them legal personality akin to that of companies or legal capacity for minors. whether autonomous robots can be granted legal persons under India law and whether this is in line with Common jurisprudence, based on the fact that India law is officially derived on Common jurisprudence. The Significant changes have been brought about in a number of industries, including the creative and artistic fields, by the quick development of AI technology. © 2024 IEEE.

关键词： Robots

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Research on Intelligent Diagnostic Techniques for Line Loss Based on Comprehensive analysis Utilizing Machine Learning Methodologies 6

Research on Intelligent Diagnostic Techniques for Line Loss ...

引用

6th international conference on robotics, Intelligent Control and Artificial intelligence, RICAI 2024

作者： Ju, Moxin Liu, Lijun Liu, Baoming Liu, Zhaorui Li, Yuan Hu, Sen State Grid Jilin Marketing Service Center Changchun China

ISBN: (纸本)9798331541699

In the context of the expanding power grid infrastructure and escalating electricity demand, the issue of line loss has emerged as a significant concern within the power industry. This paper endeavors to investigate an intelligent diagnostic technique for line loss, leveraging comprehensive analysis through machine learning methodologies, with the objective of enhancing the precision, flexibility, and adaptability of line loss diagnosis. By developing models for the classification of non-conforming characteristics of transformer districts, the analysis of primary factors contributing to non-compliant line loss, the examination of correlated anomaly causes, and the assessment of quantifiable impacts of anomalies, and by incorporating sophisticated machine learning paradigms such as the SHAP (SHapley Additive exPlanations) algorithm, Bayesian networks, deep learning, and reinforcement learning, this paper presents a comprehensive framework for the quantitative evaluation and optimal mitigation of anomalies in line loss within transformer districts. © 2024 IEEE.

关键词： Power distribution lines

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Design and Traversability analysis of A Tracked Pipeline Cleaning Robot 6

Design and Traversability Analysis of A Tracked Pipeline Cle...

引用

6th international conference on robotics, Intelligent Control and Artificial intelligence, RICAI 2024

作者： Lv, Junwei Liu, Fanghua Jiang, Longyi Department of Mechanic Jiangsu University of Science and Technology Zhenjiang China

ISBN: (纸本)9798331541699

To ensure the drainage efficiency of urban sewer systems, a tracked pipeline cleaning robot is designed. The required driving force for the robot is calculated, and its traversability in pipelines is studied, focusing mainly on its performance in curved pipes and those with obstacles. The analysis includes the geometric constraints and motion characteristics of the robot in bends. The structural design is focused on the required functions of the robot, analyzing the characteristics of its walking diameter-changing mechanism and cleaning device. Finally, ADAMS virtual software and a physical prototype are used to simulate and test the robot’s traversability in pipelines, followed by comparative data analysis to draw conclusions. The results indicate that the robot can successfully turn by utilizing the speed difference between the inner and outer tracks and overcome obstacles with a maximum height of 9mm. During this process, the springs deform according to specific conditions, ensuring the robot can smoothly navigate obstacles and turns. © 2024 IEEE.

关键词： Machine design

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Adversarial Attacks: Key Challenges for Security Defense in the Age of intelligence 4

Adversarial Attacks: Key Challenges for Security Defense in ...

引用

4th international conference on Artificial intelligence, robotics, and Communication, ICAIRC 2024

作者： Xi, Hailong Ru, Le Tian, Jiwei Lu, Bo Hu, Shiguang Wang, Wenfei Air Force Engineering University AFEU Equipment Management and Unmanned Aerial Vehicle Engineering School Xi'an China Air Traffic Control and Navigation School Air Force Engineering University Xi'an China

ISBN: (纸本)9798331531225

The development of Artificial intelligence (AI) technology has revolutionized various industries. However, the vulnerability of deep learning models, which are the core technology of AI, has been gradually exposed, among which adversarial attacks have become a prominent security issue. Adversarial attacks pose a threat to the reliability of AI systems by adding tiny perturbations to the input data to mislead the model and lead to wrong prediction results. This paper offers an exhaustive overview of adversarial attacks, encompassing their definitions, taxonomies, and the methodologies for crafting adversarial examples. A comparative analysis of the strengths and weaknesses inherent to different adversarial examples generation techniques is presented, alongside an exposition of their critical influence on the security landscape of deep learning technologies. Finally, the discourse concludes with a prospective outlook on the evolving trends in adversarial attacks. © 2024 IEEE.

关键词： Adversarial machine learning

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Effective Misbehaviour Detection System Based on Machine Learning Approaches for V2V 5

Effective Misbehaviour Detection System Based on Machine Lea...

引用

5th international conference on Artificial intelligence, robotics and Control (AIRC)

作者： Mamdouh, Nouran Mostafa, Ahmad Hussein, Walid British Univ Egypt Fac Informat & Comp Sci Cairo Egypt

ISBN: (纸本)9798350385083;9798350385076

VANET technology has been evolving and now includes vehicle communication to other vehicles as well as to infrastructure. Vehicle-to-Everything (V2X) communication refers to the expansion of the vehicle network to include communication between vehicles and all intelligent roadside devices. Due to the nature of the vehicular network that includes heterogeneous nodes, varying speeds, and sporadic connections, the vehicle network poses numerous issues for which conventional security measures are not always successful. As a result, extensive research has been conducted to develop security solutions while taking network requirements and performance into consideration. In this paper, we provide an extensive taxonomy and overview of current V2V communication technology security solutions. We propose an effective misbehavior detection of sybil attacks in V2V communication based on a machine learning model. We demonstrate the effectiveness of this model, and we highlight future research challenges.

关键词： VANET Machine Learning Misbehavior detection Sybil attack vehicular security Threats analysis vehicular networking

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Error evaluation for RSINS errors based on covariance analysis 6

Error evaluation for RSINS errors based on covariance analys...

引用

6th international conference on robotics, Intelligent Control and Artificial intelligence, RICAI 2024

作者： Su, Xingjun Li, Shaoxiong Yan, Gongmin Yu, Hang Chinese Flight Test Establishment Xi'an China AVIC The First Aircraft Institute Xi'an China School of Automation Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9798331541699

Rotational strapdown technology is an error self-compensation technique that utilizes the periodic rotation of an inertial measurement unit (IMU) to modulate the errors of inertial components and improve the long-term accuracy of an inertial navigation system (INS). A new method for evaluating the rotational modulation effect of the transposition scheme is proposed to address the problem of tedious analysis and calculation process. It combines the covariance analysis of Kalman filter time update and the error propagation characteristics of open-loop strapdown inertial navigation. Through numerical simulation calculation, all inertial device error factors, including zero bias error and installation error matrix of gyroscope and accelerometer, are accurately separated and given. The implementation process is simple and easy to promote. The new method can also be used to assist in optimizing the design of transposition schemes. © 2024 IEEE.

关键词： Inertial navigation systems

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Flutter-Based Cross-Platform Data Visualization of Real-Time Road Incident analysis & Prediction 5

Flutter-Based Cross-Platform Data Visualization of Real-Time...

引用

5th international conference on Artificial intelligence, robotics and Control (AIRC)

作者： Walee, Nafeeul Alam Shalan, Atef Georgia Southern Univ Dept Informat Technol Statesboro GA 30458 USA

ISBN: (纸本)9798350385083;9798350385076

Due to the proliferation of digital technologies and interconnected systems, the production of data is growing at an astounding rate. As a result, the sheer volume and complexity of data make it incredibly challenging to read and interpret for a human. In addition, the continuous flow of data presents even more significant challenges in terms of processing, analyzing, and interpreting the information. To resolve this issue, visualization of data can be the key to making sense of a complex set of data. Furthermore, data visualization plays a vital role in representing a real-time stream of data. In this paper, the flutter framework is used to interpret real-time data and visualize it across platforms. Furthermore, 3 machine learning algorithms are used to predict the contributing factors of these incidents, also to evaluate which model is performing better. The results of the predictions as well as visualization are shown in different charts. The charts offer a snapshot of the Realtime data in an organized manner which gives the user an immediate insight.

关键词： real-time data visualization machine learning flutter framework cross-platform

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A Feedback Linearization-Based Control Strategy for Underwater Soft Exoskeleton 9

A Feedback Linearization-Based Control Strategy for Underwat...

引用

9th IEEE international conference on Advanced robotics and Mechatronics (ICARM)

作者： Mao, Weifan Ye, Zhongwen Liu, Xiaotong Zhang, Peihao Li, Guoxin Zhang, Tengxin Jian, Bingcong Bai, Fangyun Fan, Hua Xia, Haisheng Hefei Comprehens Natl Sci Ctr Inst Artificial Intelligence Hefei 230088 Peoples R China Univ Sci & Technol China Inst Adv Technol Hefei 230094 Peoples R China Tongji Univ Sch Mech Engn Shanghai 201804 Peoples R China Tongji Univ Shanghai YangZhi Rehabil Hosp Shanghai Sunshine Rehabil Ctr Shanghai 201619 Peoples R China Tongji Univ Sch Mech Engn Translat Res Ctr Shanghai YangZhi Rehabil HospShanghai Sunshine R Shanghai 201804 Peoples R China

ISBN: (纸本)9798350385731;9798350385724

The physiological limitations of human endurance underwater necessitate the use of supportive devices for prolonged activities. In this context, underwater exoskeleton robots, serving as wearable aids in submerged environments, offer promising solutions. This paper introduces a soft underwater exoskeleton robot system based on a motor-bowden rope-ankle mechanism. To achieve precise control and enhance system stability in underwater nonlinear control scenarios, we propose a control strategy utilizing feedback linearization techniques. Our focus primarily centers on horizontal motion, with a deliberate disregard for buoyancy and gravity forces in the vertical direction to streamline the analysis of dynamics and control models. Leveraging feedback linearization control, we transform the nonlinear system into a linear control state, subsequently designing a classic linear controller based on this transformed property. Rigorous mathematical proofs are provided to establish the stability of the feedback linearization control system. Finally, experimental results demonstrate that utilizing the underwater soft exoskeleton assistance led to a notable decrease of approximately 14% in electromyography values, both in root mean square and maximum, with the ankle joint trajectory curve fitting well. These results underscore the feasibility and efficacy of our approach.

关键词： Feedback linearization

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Long Short-Term Memory Networks for Predicting LQ45 Index Trends in Infrastructure Stocks 9

Long Short-Term Memory Networks for Predicting LQ45 Index Tr...

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9th IEEE international conference on Advanced robotics and Mechatronics (ICARM)

作者： Maximilian, C. Surbakti, E. E. Winantyo, R. Jantianus Vasty, M. Istiono, W. Univ Multimedia Nusantara Dept Informat Banten 15810 Indonesia Univ Multimedia Nusantara Dept Elect Engn T Banten 15810 Indonesia Politekn Negri Medan Banking & Accounting Program North Sumatra 20155 Indonesia

ISBN: (纸本)9798350385731;9798350385724

The capital market plays a crucial role in the nation's economy by serving as a platform for trading long-term financial products. Among the securities, stock is favored by investors due to their high potential for profitability. With the advancement of technology, to minimize the risks associated with stocks, the utilization of technical analysis using the long short-term memory (LSTM) algorithm has become increasingly prevalent. Investors show keen interest in the LQ45 index, which comprises 45 stocks characterized by high liquidity and capitalization. The infrastructure sector within the index, including "***," "***," "***," and "***," is particularly attractive due to its promising outlook, steady growth, and government backing. Hence, the utilization of the LSTM algorithm for forecasting the stock prices of the infrastructure sector within the LQ45 index aims to offer a competitive edge to investors in the stock market. Based on tests with 36 parameter combinations for each stock, highly accurate forecasting was achieved on each stock model with MAPE values below 10%. The *** stock model stood out with a MAPE of 1.43% and an RMSE of 78.16031. It utilized 64 neurons on two hidden layers, a batch size of 32, and a dropout rate of 0.2.

关键词： Long Short-term Memory LQ45 Stock Index Machine Learning Stock Prediction Technical analysis

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