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检索条件"任意字段=IEEE Conference on Technologies for Practical Robot Applications"

共 5271 条记录，以下是201-210 订阅

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Enhancing Human Emotion Classification in Human-robot Interaction

Enhancing Human Emotion Classification in Human-Robot Intera...

引用

International conference on Machine Intelligence and Smart Innovation (ICMISI)

作者： Elsayed, HossamEldin Tawfik, Noha Seddik Shalash, Omar Ismail, Ossama Arab Acad Sci Technol & Maritime Transport Coll Artificial Intelligence Alexandria Egypt Arab Acad Sci Technol & Maritime Transport Coll Engn Alexandria Egypt

ISBN: (纸本)9798350365740;9798350365757

Speech Emotion Recognition (SER) is vital for enhancing Human-robot Interaction (HRI). In the past decade, various models have been applied to diverse datasets. However, these datasets often fell short in representing real-world scenarios. This paper introduces an innovative acoustic feature set, based on Mel Frequency Cepstral Coefficients (MFCC) and Mel-Spectrograms, applied to a combined dataset comprising RAVDESS, TESS, and EmoDB. Our proposed model achieves an impressive accuracy of 85.05% on this combined dataset, demonstrating its suitability for real-world applications. This advancement holds significant promise for improving HRI systems, affective computing, and AI-driven applications, where understanding and responding to human emotions through speech is crucial. The robustness and high accuracy of our model provide valuable insights for researchers and practitioners seeking to implement SER technology in practical, real-world settings. This study offers two primary contributions. Firstly, it involves the compilation of a unified dataset from the three mentioned sources. Secondly, it achieved the highest accuracy of 85.05%.

关键词： Speech Emotion Recognition Acoustics Machine Learning

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Mapping the Environment Using an Ultrasonic and Infrared Sensor 21

Mapping the Environment Using an Ultrasonic and Infrared Sen...

引用

21st International conference on Emerging eLearning technologies and applications, ICETA 2023

作者： Pribilova, K. Gabriska, D. Masiarova, Z. University of SS. Cyril and Methodius Institute of Computer Technologies and Informatics Trnava Slovakia

ISBN: (纸本)9798350370690

This paper is focused on an environment mapping application using Lego Mindstorms. The main goal is to create a program for a robot that will be able to solve problems of movement and mapping in an unknown environment. We chose Java and the Eclipse programming environment as the programming language. Simple mazes in the shape of a rectangle and the letters C were created for the mapping of the environment by the robot. We used an ultrasonic and infrared sensor for sensing the environment. In the end, we present a comparison and the results of measurements of both sensors when mapping the environment. © 2023 ieee.

关键词： Mapping

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Strongly resonant all-dielectric metasurfaces: emerging applications in telecom and life sciences 24

Strongly resonant all-dielectric metasurfaces: emerging appl...

引用

24th International conference on Transparent Optical Networks (ICTON)

作者： Dell Olio, Francesco Polytech Univ Bari Micro Nano Sensor Grp Bari Italy

ISBN: (数字)9798350377323

ISBN: (纸本)9798350377330;9798350377323

This paper provides a critical review of the advancements in strongly resonant all-dielectric metasurfaces, with a focus on their applications in telecommunications and life sciences. By exploring the unique properties of quasi-bound states in the continuum (qBIC) resonances, the paper illustrates how these metasurfaces manipulate light at the nanoscale, enabling unprecedented control and minimal energy loss. These capabilities are crucial for the development of highly efficient optical devices. The emerging applications of these metasurfaces in the development of compact and more efficient telecommunication systems and in enhancing the capabilities of biosensing technologies in life sciences are discussed. The paper aims to highlight both the remarkable potential and the challenges facing the integration of these photonic systems into practical applications, providing a pathway for future innovations. The paper includes some notes on a recently designed metasurface that is specifically intended for refractive index sensing and label-free biosensing. The nanostructured surface is based on complementary split-ring resonators and exhibits a very interesting numerically calculated performance. Some possible future research activities in the field are envisaged.

关键词： Nanophotonics Flat Photonics Metasurface Bound States in the Continuum

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Finite-Time Trajectory Tracking for Wheeled Mobile robot 50

Finite-Time Trajectory Tracking for Wheeled Mobile Robot

引用

50th Annual conference of the ieee Industrial Electronics Society, IECON 2024

作者： Banerjee, Antara Taslima, Eram Pandey, Vinay Diana, Baby Kamal, Shyam Xiong, Xiaogang Varanasi India School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen China

ISBN: (纸本)9781665464543

This paper presents a comprehensive exploration of the implementation of a finite-time control technique for wheeled mobile robots (WMRs). Finite-time control offers a promising avenue for achieving rapid and precise trajectory tracking in dynamic environments, making it particularly suitable for applications requiring agile and responsive robot motion. This paper encompasses designing and implementing a finite-time control algorithm through Lyapunov stability theory tailored to the dynamics of WMRs. We evaluate the performance of finite-time control through simulation and real-world experiments on Quanser’s Qbot Platform, assessing its ability to achieve desired trajectory tracking. The insights gained from this research contribute to the advancement of control methodologies for WMRs, with potential applications in autonomous navigation, mobile robotics, and industrial automation. © 2024 ieee.

关键词： Mobile robots

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Internet of robots: An Open-source Framework for Cloud-Based Global Remote Control and Monitoring of robots 6

Internet of Robots: An Open-source Framework for Cloud-Based...

引用

6th International conference on robotics and Automation in Industry, ICRAI 2024

作者： Raheel, Fabeha Raheel, Laibah Mehmood, Hassan Kadri, Muhammad Bilal Khan, Umar Shahbaz College of Electrical and Mechanical Engineering National University of Sciences and Technology Islamabad Pakistan Dawood Univesity of Engineering and Technology Karachi Pakistan College of Computer and Information Sciences Prince Sultan University Riyadh Saudi Arabia

ISBN: (纸本)9798350355703

With the growing prevalence of service robots across various sectors, there is a growing need to ensure seamless connectivity between robots and users from virtually anywhere in the world. This demand has driven extensive research over the past decade, leading to the emergence of innovative technologies such as the Internet of robotic Things (IoRT) and Cloud robotics. While various studies have proposed solutions to achieve global connectivity between robots and end-users, most existing approaches are tailored to specific robots, such as drones, or are designed for niche applications. Moreover, these solutions are often not open-source and limited in terms of scope, adaptability, scalability, and general usability. This research presents a comprehensive, practical approach for implementation of IoRT and cloud robotics which utilizes a three-level client-server architecture that includes a cloud server layer, robot client layer, and user client layer. Utilizing Django for application development hosted on AWS Cloud, the implementation demonstrates the potential of cloud robotics to provide real-time, bidirectional communication between robots and users over an infinite communication range. © 2024 ieee.

关键词： robot Operating System

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High-precision trajectory tracking control for parallel robots based on the super-helical algorithm 5

High-precision trajectory tracking control for parallel robo...

引用

5th International conference on Computer Engineering and Application (ICCEA)

作者： Jiang, Haowei Quan, Lidi Li, Bing Liu, Ruchao HuZhou Univ Engn Coll Huzhou Peoples R China

ISBN: (纸本)9798350386783;9798350386776

With the growing demand for industrial automation, the application of high-performance parallel robot systems in complex operations has become increasingly important. However, these systems are often affected by unknown environmental disturbances and modeling uncertainties, making precise control a significant challenge. This paper proposes an adaptive super-helical integral terminal sliding mode control strategy to address the trajectory tracking problem of parallel robots in the face of complex disturbances. First, the dynamics model of the parallel robot is detailed, and a novel controller is designed based on this model. The control strategy integrates the approach law method, the super-helical algorithm, and the integral terminal sliding mode technique to enhance the system's robustness and dynamic response speed. Simulation experiment results demonstrate that the proposed control strategy exhibits significant advantages in resisting disturbances and suppressing system vibrations compared to traditional PID control and fuzzy sliding mode control. The controller design in this study not only improves trajectory tracking accuracy but also demonstrates its potential value in practical industrial applications.

关键词： Parallel robot Trajectory Tracking Adaptive Control Sliding Mode Control Super-Helical Algorithm

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Short term after-effects of small force fields applied by an upper-limb exoskeleton on inter-joint coordination

Short term after-effects of small force fields applied by an...

引用

ieee International conference on robotics and Automation (ICRA)

作者： Dubois, Oceane Roby-Brami, Agnes Parry, Ross Jarrasse, Nathanael Sorbonne Univ Inst Intelligent Syst & Robot ISIR INSERM CNRSUMR 7222 4 Pl Jussieu F-75005 Paris France Univ Paris Nanterre LINP2 200 Ave Republ F-92001 Nanterre France

ISBN: (纸本)9798350384581;9798350384574

Exoskeleton technologies have numerous potential applications, ranging from improving human motor skills to aiding individuals in their daily activities. While exoskeletons are increasingly viewed, for example, as promising tools in industrial ergonomics, the effect of using them on human motor control, particularly on inter-joint coordination, remains relatively uncharted. This paper investigates the effects of generic low-amplitude force fields applied by an exoskeleton on motor strategies in asymptomatic users. The force fields mimic common perturbations encountered in exoskeletons, such as residual friction, over/under-tuned assistance, or structural elasticity. Fifty-five participants performed reaching tasks while connected to an arm exoskeleton, experiencing one of five tested force fields. Their movements before and after exposure to the exoskeleton force field were compared. The study focuses both on spatial and temporal changes in coordination using specific metrics. The results reveal that even brief exposure to a low-amplitude force field, or to uncompensated residual friction and dynamic forces, applied at the joint level can alter the inter-joint coordination, while task performance remains unaffected. The tested force fields induced varying degrees of changes in joint contributions and synchronization. This study highlights the importance of monitoring coordination changes to fully understand the impact of exoskeletons on human motor control and thus enable safe and widespread adoption of those devices.

关键词： Exoskeleton (robotics)

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Toward Universal and Scalable Road Graph Partitioning for Efficient Multi-robot Path Planning

Toward Universal and Scalable Road Graph Partitioning for Ef...

引用

2024 International conference on Intelligent robots and Systems

作者： Han, Xingyao Cao, Bo Liu, Zhe Zhou, Shunbo Zhang, Heng Wang, Hesheng Shanghai Jiao Tong Univ AI Inst MoE Key Lab Artificial Intelligence Shanghai Peoples R China Huawei Cloud Comp Technol Co Ltd Edge Cloud Innovat Lab Shenzhen Guangdong Peoples R China Shanghai Jiao Tong Univ Dept Automat Shanghai Peoples R China

ISBN: (纸本)9798350377712;9798350377705

To date, multi-robot path planning has primarily been addressed by centralized solvers, typically aiming to maintain optimality. However, given its NP-hard nature, directly applying existing solvers in large and complex scenarios proves inefficient. A promising alternative lies in adopting a divide-and-conquer strategy to break down the problem into manageable sub-problems. In this work, we propose a systematic, universal, and scalable graph partitioning method, aiming to automatically divide any real-world environment into multiple regions. Building upon this, we convert the path planning on the entire graph into distributed sub-region path planning and devise corresponding inter-regional strategies. Our work can be easily implementable in practical systems and effectively enhances the scalability of existing solvers. Experimentally, our approach contributes to a tenfold improvement in computational efficiency while only sacrificing about 10% of optimality.

关键词： Multipurpose robots

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Baxter robot Shape Feature Recognition Algorithm Based on Machine Vision 2

Baxter Robot Shape Feature Recognition Algorithm Based on Ma...

引用

2nd ieee International conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Mo, Yi Guangxi Vocational & Technical Institute of Industry Guangxi Nanning China

ISBN: (纸本)9798350347456

With the rapid development of artificial intelligence and computer technology, Machine Vision (MV) technology has quietly and deeply affected all aspects of our lives. At the same time, Baxter robots are becoming more and more intelligent and automated. MV technology, especially the shape feature recognition algorithm, is applied to the Baxter robot system to provide technical guarantee for accurate and real-time target feature recognition. Based on the subject of "Baxter robot Shape Feature Recognition Algorithm Based on MV", this paper focuses on the study of shape feature recognition technology. This paper takes Baxter robot as an example to study the key technology of shape feature recognition when the target in the environment is known. This paper designs the Baxter robot vision system, analyzes the system's workflow and functions, and introduces the Baxter robot system modules and related algorithms. In this paper, the algorithm is used to test the shape characteristics of the target object. The results show that the average recognition accuracy rate is 94.37%, and the running time is 11.97ms. From the specific results of target object shape feature detection, the Baxter robot shape feature recognition algorithm based on machine vision achieves real-time and high accuracy of target object shape feature recognition, and has good stability. In practical applications, compared to traditional shape feature recognition algorithms, the Baxter robot shape feature recognition algorithm based on machine vision is more feasible and can effectively assist people in completing specific tasks and targets for shape feature recognition in practical applications. © 2023 ieee.

关键词： Feature extraction

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Deep Learning applications in Single-Cell Multi-Omics Analysis: A Review 6

Deep Learning Applications in Single-Cell Multi-Omics Analys...

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6th ieee Novel Intelligent and Leading Emerging Sciences conference, NILES 2024

作者： Taha, Manar H El-Hadidi, Mohamed Fawzi, Sahar Ali Giza12588 Egypt University of Birmingham Medical and Dental Sciences Dubai United Arab Emirates

ISBN: (纸本)9798350378511

The emergence of single-cell sequencing technologies has transformed our comprehension of cellular diversity, providing unprecedented insights into individual cell states within complex tissues. Coupled with the power of deep learning, these technologies offer new avenues for interpreting the vast and intricate data generated. This review examines the foundational principles and practical applications of deep learning in single-cell omics, highlighting its role in cell annotation, gene regulatory network identification, and multi-omics integration. It also explores the challenges and future directions for integrating deep learning with single-cell analysis. © 2024 ieee.

关键词： Federated learning

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