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Influence of Artificial intelligence's on robotics: An analysis 1

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17th international conference on Interdisciplinarity in Engineering, INTER-ENG 2023

作者： Bhosale, Snehal Patil, Shailaja Lavale Maharashtra Pune India JSPM’s Rajashree Shahu College of Engineering Maharashtra Pune Tathawade India

ISBN: (数字)9783031546747

ISBN: (纸本)9783031546730

robotics relies on the integration of perception and action, with Artificial intelligence (AI) playing a central role in achieving true intelligence. The success of AI has captivated scientific communities and the public, enabling humans to maximize their potential and approach human-like cognitive capabilities. One significant influence of AI on robotics is in perception. Through computer vision and sensor technologies, robots can analyze visual and sensory information, enabling them to understand and interpret their surroundings. AI algorithms enhance object recognition, enabling robots to identify and classify objects, people, and obstacles in real-time. AI technologies find applications in healthcare, manufacturing, transportation, energy, finance, advertising, consulting, and government. The global AI market was valued at USD 93.5 billion in 2021, projected to reach USD 1,011.7 billion by 2030, with a 38.1% estimated compound annual growth rate (CAGR). As technology giants continue to innovate, advanced AI technologies are being adopted across industries. This paper aims to comprehensively describe the current state and future directions of AI, providing insights into the impact it will have on the field of robotics. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： robotics

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analysis of the Performance of an Omnidirectional Bionic Leg 9

Analysis of the Performance of an Omnidirectional Bionic Leg

引用

9th international conference on Control, Automation and robotics (ICCAR)

作者： Xu, Yuze Shang, Jianzhong Chen, Shanjun Xia, Minghai Zhu, Yiming Luo, Zirong Natl Univ Def Technol Coll Intelligence Sci & Technol Changsha 410073 Peoples R China

ISBN: (纸本)9798350322514

Inspired by the structure of the human leg, a bionic leg with the constant posture of the endpoint and capable of omnidirectional legged locomotion is proposed. The structural layout of the bionic leg is introduced. The flexibility of the leg mechanism is analyzed using the condition number of the Jacobian matrix as a performance index. The static model of the leg mechanism is developed based on the virtual work principle. The bearing capacity performance index and the force equilibrium performance index are established by the vector extremum method. Furthermore, the static performance of the leg mechanism is analyzed. In order to verify the applied feasibility and the performance of omnidirectional legged locomotion, the motion simulation of the quadruped robot based on the proposed design is carried out as it moves along seven different directions. A prototype is developed to serve as the foundation for the next phase in the improvement and practical implementation of omnidirectional bionic legs.

关键词： bionic leg flexible performance static performance omnidirectional legged locomotion

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Performance analysis of Structural Defect Classification Applied to Concrete Cracks Using Light-Weight Machine Learning Models 3

Performance Analysis of Structural Defect Classification App...

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3rd international conference on robotics, Automation and Artificial intelligence (RAAI)

作者： Desai, Shreyas Sanjeev Hegde, Shashank Kalyandurg, Vidya Rohan, V Shruthi, M. L. J. PES Univ Dept ECE Bengaluru Karnataka India

ISBN: (纸本)9798350307573;9798350307566

Detection of concrete cracks plays a vital role in structural defect analysis. Classification using machine learning techniques is one of the ways to perform the process. This paper discusses the performance analysis of light-weight models used to detect concrete cracks. The Concrete Crack Images for Classification (CCIC) dataset is used in the training and testing phases of NASNetMobile, MobileNet V2, DenseNet121, and VGG-19. Modifications in the networks include layers for binary classification of the data. The quantitative analysis proves the ability of NASNetMobile as a light-weight model while MobileNet V2 can be opted if training time is the constraint. The experimental results validate a trade-off between the usage of light-weight models, especially, NASNetMobile as against regular networks. To prove the tradeoff, the performance of light-weight models is compared with VGG-19 which is a regular model. analysis proves to waive off the usage of regular models in comparison with the NASNetMobile model.

关键词： NASNetMobile Concrete Crack Structural defect Training time Light weight design Structural Health Monitoring

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Mitigation of Covert Communications in MQTT Topics Through Small Language Models 32

Mitigation of Covert Communications in MQTT Topics Through S...

引用

32nd international conference on Modeling, analysis and Simulation of Computer and Telecommunication Systems

作者： Polisiani, Camilla Cespi Zuppelli, Marco Calzarossa, Maria Carla Caviglione, Luca Guarascio, Massimo Univ Pavia Pavia Italy CNR IMATI Genoa Italy CNR ICAR Arcavacata Di Rende Italy

ISBN: (纸本)9798331531317;9798331531300

Modern IoT ecosystems face many security issues. An aspect often neglected concerns covert channels, which allow for exfiltrating data or preventing detection. To this aim, the Message Queuing Telemetry Transport (MQTT) protocol can be abused to create various hidden communication paths, mainly due to its textual nature. Alas, simpler detection metrics could be ineffective and their optimization requires a vast number of test cases. Therefore, this paper proposes to use a small language model trained over real MQTT topics to automatically generate the required test cases. Results indicate the need for optimizations to make popular detection metrics usable "in the wild".

关键词： IoT Covert Channels MQTT Small Language Models Cybersecurity Artificial intelligence

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Bounded Rational User Behavior analysis-based Cooperative Pricing Scheme for CSs with Single-Output Multi-Port Charging Station

Bounded Rational User Behavior Analysis-based Cooperative Pr...

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2024 international conference on Communications Control and Computing Technologies for Smart Grids

作者： Yang, Chen Liu, Lie Leng, Xi Tang, Xiaoying Chinese Univ Hong Kong Sch Sci & Engn Shenzhen 518172 Guangdong Peoples R China Chinese Univ Hong Kong Shenzhen Inst Artificial Intelligence & Robot Soc Shenzhen 518172 Guangdong Peoples R China Chinese Univ Hong Kong Shenzhen Key Lab Crowd Intelligence Empowered 1ow Shenzhen 518172 Guangdong Peoples R China

ISBN: (纸本)9798350318562;9798350318555

The rapid penetration of electric vehicles (EVs) provides notable opportunities for the EV charging industry. However, the frequent occurrence of EV overstay results in the underutilization of charging piles, leading to the low overall efficiency of charging stations (CSs). To address this issue, we present a Cooperative Pricing Scheme for Multi-Type CSs (CPSMT) integrating single-output multi-port (SOMP) CSs. Besides, the bounded rational user behavior facing new SOMP CSs is meticulously analyzed and modeled to tackle obstacles such as users' low acceptance of these emerging CSs. Numerical experiments are conducted to illustrate the effect of bounded rationality on user selection. To derive optimal pricing strategies for CPSMT, we propose a reinforcement learning-based method, creatively utilizing customized statistical data to track the status of each CS. The simulation results show that this advanced scheme remarkably enhances the profitability of CSs, greatly outperforming the system only with traditional CSs.

关键词： EV CS bounded rational user behavior cooperative pricing scheme reinforcement learning

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A Soft Wearable Robot to Support Scapular Adduction and Abduction for Respiratory Rehabilitation

A Soft Wearable Robot to Support Scapular Adduction and Abdu...

引用

IEEE international conference on Soft robotics (RoboSoft)

作者： Isobe, Kosuke Hirokawa, Masakazu Suzuki, Kenji Univ Tsukuba Artificial Intelligence Lab Tsukuba Ibaraki 3058573 Japan

ISBN: (纸本)9798350332223

This study proposes a soft wearable robot that supports scapular adduction and abduction to rehabilitate respiratory diseases. For the elderly, the decrease in the range of thorax movement due to aging increases the risk of respiratory diseases. Although adduction and abduction exercise of the scapula effectively improves the movement range of the respiratory muscles around the thorax, it is difficult for the elderly owing to reduced voluntary upper-arm mobility, and hence a physiotherapist's support is required. The proposed robot has a simple mechanism with a small degree of freedom that supports the elderly in stretching their thorax on their own at home. We first describe the design concept of the proposed soft robot with a shoulder brace with elastic components to constrain shoulder movement. Then, we conduct a pilot study to determine appropriate design parameters based on a therapist's kinematic analysis of the glenohumeral joint during the stretching. The evaluation experiment with eight healthy participants to validate the supporting function of the system is described. Hence, we confirm that the proposed system can provide scapular adduction and abduction movement similar to what physiotherapists provide.

关键词： Degrees of freedom (mechanics)

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A Visualization Model for Classification of Human Personality through Bio-electric current pattern analysis

A Visualization Model for Classification of Human Personalit...

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international conference on Computational Science and Computational intelligence (CSCI)

作者： Kim, Janghwan Jang, Woosung Kim, R. Young Chul Hongik Univ Dept Software & Commun Engn Sejong South Korea

ISBN: (纸本)9798350361513;9798350372304

Modern medicine is studied based on standardized figures obtained through Medical and scientific methods with one equality of all humans. The disease's measurement, analysis, and treatment are quantified through this. Traditional Korean medicine, on the other hand, aims to maintain a healthy human life by solving the fundamental problem of disease based on each different one of all humans. However, traditional Korean medicine may not fit in modern times due to its long accumulation of prior knowledge-based records. We are working in a software engineering lab. Because there are no medical doctors, we focus on the number of values of human bioelectricity. We propose a method of identifying the human constitution with how to apply bioelectricity pattern signals based on traditional Korean medical theory. Through the proposed method, it will expect to care for health conditions. With this visualization, we may possibly identify the abnormal area of the human body with internal organs, such as liver, heart, lung spleen, kidney. After recovering health, we may also recognize to become the normal condition of him/her.

关键词： Bio-electric current pattern Eight Constitutional Medicine (ECM) Sassang Constitutional Medicine (SCAT) Ying and Yang Theory

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Enriched Mandarin Social Media Dataset for Sentiment Features Problem analysis 4

Enriched Mandarin Social Media Dataset for Sentiment Feature...

引用

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

作者： Zhang, Jie Maskat, Ruhaila Zhang, Zhiping Universiti Teknologi MARA College of Computing Informatics and Mathematics Shah Alam Malaysia Xinyu University College of Mathematics and Computer Xinyu China

ISBN: (纸本)9798331531225

Sentiment analysis is a crucial text classification task that aims to extract, process, and analyze opinions, sentiments, and subjectivity within texts. This dataset is a secondary dataset from the public Chinese IT technology exchange platform website CSDN, the data originates from Baidu waimai (now called Ele. me). Each comment in the data set is re-annotated manually using sentiment labels (positive, negative, or neutral), and 13 types of labels such as word order, polysemy, cyberword, argot, irony, typing errors, context, word segmentation wrong, emojis, Chinglish or mixed Chinese and English, polyphone, omission of characters, phonetic alphabet, abbreviation are used to annotate issues that affect Chinese mandarin sentiment. These re-annotations have been validated by a Mandarin linguist. This paper proposes an enhanced system model for Mandarin sentiment analysis of social media text based on transformer encoder. Researchers and developers can utilize this dataset to train sentiment analysis models, natural language processing algorithms, machine learning, or deep learning systems to accurately identify and analyze the sentiments expressed by consumers on Mandarin social media platforms. © 2024 IEEE.

关键词： Deep learning

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Attention Mechanisms in Deep Learning : Towards Explainable Artificial intelligence 6

Attention Mechanisms in Deep Learning : Towards Explainable ...

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6th international conference on pattern analysis and Intelligent Systems, PAIS 2024

作者： El Houda Dehimi, Nour Tolba, Zakaria University of Oum El Bouaghi Liaoa Laboratory Department of Mathematics And Computer Science Algeria

ISBN: (纸本)9798350350265

Attention mechanisms have revolutionized Machine Learning (ML), particularly in Natural Language Processing (NLP). These mechanisms enable models to selectively focus on crucial parts of the input data, improving performance across tasks like machine translation and sentiment analysis. However, complex ML architectures often remain opaque. This paper explores how attention mechanisms offer a unique path towards Explainable Artificial intelligence (XAI). By visualizing and analyzing where a model "attends", we can gain insights into which features or data components were most impactful for its predictions. This understanding facilitates model debugging, bias detection, and the development of more transparent AI systems. We discuss different types of attention mechanisms and their potential for explainability in various ML domains. © 2024 IEEE.

关键词： Sentiment analysis

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Research on dynamic motion pattern recognition and analysis algorithm based on artificial intelligence 4

Research on dynamic motion pattern recognition and analysis ...

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4th international Signal Processing, Communications and Engineering Management conference, ISPCEM 2024

作者： Chen, Kequan Zhanjiang University of Science and Technology Zhanjiang China

ISBN: (纸本)9798331528676

This paper focuses on the dynamic motion pattern recognition and analysis algorithm based on artificial intelligence, and proposes an innovative motion pattern recognition method, which combines fast Fourier transform (FFT) and fusion random forest model. Firstly, the motion signal is efficiently transformed from the time domain into the frequency domain through the application of the fast Fourier transform, enabling the extraction of key frequency characteristics, thereby enhancing the recognition capability of the motion pattern. The accuracy and stability of the model are subsequently enhanced by integrating the outputs from multiple decision trees, leveraging the power of the fusion random forest algorithm. In the random forest decision algorithm, the integrated learning strategy is introduced, which realizes the deficiency of single decision tree and further improves the classification performance of motion patterns. The experimental outcomes demonstrate that this method exhibits outstanding performance across various motion pattern recognition tasks, coupled with remarkable real-time capabilities and precision. This research provides a new idea and method for the field of motion pattern recognition, which has important theoretical value and practical application prospect. ©2024 IEEE.

关键词： Random forests

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