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

共 15865 条记录，以下是11-20 订阅

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Artificial intelligence and robotics Implementation in Finance and Accounting Function of Manufacturing Firms in USA

Artificial Intelligence and Robotics Implementation in Finan...

引用

2024 international conference on Intelligent and Innovative Practices in Engineering and Management, IIPEM 2024

作者： Kumar Kuncha, Ram Durgansh Sharma, Dr. School of Business & Management Bengaluru India

ISBN: (纸本)9798350390049

The rapid pace of change in the finance and accounting sectors is due to the tremendous improvements in utilizing Artificial intelligence (AI) and robotics. The paper offers a thematic analysis of the implementation of AI and robotics in the financial and accounting domains, identifying the trends that will define the industry's future. The analysis articles on the challenges and advantages of using these technologies in changing financial processes, the accuracy of accounting practices, regulation, and the profession's scope. The paper tries to interact with the focus of this research, which is how AI and robotics are used to enhance operation procedures without failing to point out the problems of implementation, ethics, and functionality. © 2024 IEEE.

关键词： Decentralized finance

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Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots

Brain-Inspired Hyperdimensional Computing in the Wild: Light...

引用

IEEE international conference on robotics and Automation (ICRA)

作者： Kwon, Hyukjun Kim, Kangwon Lee, Junyoung Lee, Hyunsei Kim, Jiseung Kim, Jinhyung Kim, Taehyung Kim, Yongnyeon Ni, Yang Imani, Mohsen Suh, Ilhong Kim, Yeseong DGIST Dept Artificial Intelligence Daegu 42988 South Korea DGIST Dept Elect Engn & Comp Sci Daegu 42988 South Korea Coga Robot Seoul 04763 South Korea Univ Calif Irvine Dept Comp Sci Irvine CA 92697 USA

ISBN: (纸本)9798350384581;9798350384574

Efficiency and performance are significant challenges in applying Machine Learning (ML) to robotics, especially in energy-constrained real-world scenarios. In this context, Hyperdimensional Computing offers an energy-efficient alternative but has been underexplored in robotics. We introduce ReactHD, an HDC-based framework tailored for perception-action-based learning for sensorimotor controls of robot tasks. ReactHD employs hypervectors to encode sensory inputs and learn the suitable high-dimensional pattern for robot actions. It also integrates two HD-based lightweight symbolic learning techniques: HDC-based supervised learning by demonstration (HDC-IL) and HD-Reinforcement Learning (HDC-RL) to enable precise, reactive robot behaviors in complex environments. Our empirical evaluations show that ReactHD achieves robust and accurate learning outcomes comparable to state-of-the-art deep learning while substantially improving the performance and energy consumption efficiency by 14.2x and 15.3x. To the best of our knowledge, ReactHD is the first HDC-based framework deployed in real-world settings.

关键词： Adversarial machine learning

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analysis of a Variable Stiffness Soft Actuator for Lower Back Pain Rehabilitation 5

Analysis of a Variable Stiffness Soft Actuator for Lower Bac...

引用

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

作者： Gaafar, Muhammed Magdy, Mahmoud El-Hussieny, Haitham El-Betar, Ahmed Benha Univ Mech Engn Dept Banha Egypt Egypt Japan Univ Sci & Technol Mechatron & Robot Engn Dept Alexandria Egypt

ISBN: (纸本)9798350385083;9798350385076

This work presents an analysis of a soft actuator that has customizable stiffness, using the concept of chain mail jamming. The actuator has the ability to achieve adaptive stiffness in a wearable exosuit designed for spinal rehabilitation. It can reshape and exert variable force to aid in this process. The jamming phenomenon occurs when particles within a pliable enclosure become entangled due to the application of pressure along their borders. This is commonly used in the construction of mechanisms that have adjustable stiffness. Chain mail has a smaller packing fraction and offers greater tensile force in comparison to standard jamming media. This work introduces the application of chain mail jamming to soft wearable robotics. Finite Element analysis confirms the benefits of customizable stiffness in a wearable exosuit for spinal rehabilitation.

关键词： Chain mail jamming Variable Stiffness Wearable Robots Spine Rehabilitation lower Back Pain Rehabilitation

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analysis of the Design Parameters of a Climbing Robot for Wind Turbine Towers Inspection 5

Analysis of the Design Parameters of a Climbing Robot for Wi...

引用

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

作者： Magdy, Mahmoud Hatem, Abdallah Mostafa, Noha A. British Univ Egypt Mech Engn Dept Cairo Egypt Benha Univ Mech Engn Dept Banha Egypt Zagazig Univ Ind Engn Dept Zagazig Egypt

ISBN: (纸本)9798350385083;9798350385076

Wind energy is becoming one of the rising sources of energy with the global shift towards renewable and clean energy. One of the challenges of wind energy is the periodic inspection of wind turbines. Given the high safety hazard of performing this process by technicians, this paper addresses the analysis of design parameters of a climbing robot purposed for inspection of wind turbines that can be controlled remotely to reduce the necessity of having personnel in critical safety conditions. The preliminary design analysis enables the robot to climb the wind turbine tower by means of four wheels and adhesion force provided through the tension of two ropes or screw, each driven by a stepper motor. A study of the acting forces and the required components was performed. The weight of the proposed prototype would weigh around 9 Kg, about 15% of which could be allocated for testing equipment;for example, ultra-sonic transducers as well as the controller that controls the system and be controlled remotely.

关键词： climbing robot wind turbines tower inspection robotics Non-destructive testing

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H∞ Performance analysis of Sampled-data Systems with Polytopic Uncertainty via Sawtooth-characteristic-based Free-Matrix Integral Inequality 9

H∞ Performance Analysis of Sampled-data Systems with Polyto...

引用

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

作者： Zhang, Ying Shangguan, Xing-Chen He, Yong Zhang, Chuan-Ke Dong, Kaifeng Jin, Fang China Univ Geosci Sch Automat Wuhan Peoples R China

ISBN: (纸本)9798350350319;9798350350302

This study investigates the H-infinity performance analysis of sampled-data systems (SDSs) with polytopic uncertainty. To better exploit the information on the sampling pattern, a sawtooth-characteristic-based free-matrix integral inequality and a second-order looped-functional are used to enhance the precision. Besides, to address the complex computation caused by high-order terms, the product of input delay and system states are also introduced as system variables. Then, stability criterion and the bounded real lemma for the H-infinity performance with less conservatism for the SDSs with polytopic uncertainty are yielded. Ultimately, the efficacy and advancement of the method are proved via a series of examples.

关键词： Stability analysis H-infinity performance analysis sampled-data uncertainty

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Machine -Learning Based Elastography analysis in Predicting Lymph Node Metastasis 24

Machine -Learning Based Elastography Analysis in Predicting ...

引用

international conference on Automation, Quality and Testing, robotics (AQTR)

作者： Rusu-Both, Roxana Socaci, Cristian Palagos, Adrian Tech Univ Cluj Napoca Automat Dept Cluj Napoca Romania

ISBN: (纸本)9798350361940;9798350361933;9798350361919

Lung cancer ranks as the second most prevalent cancer and is the primary cause of cancer-related mortality globally, leading to the highest death rates in both genders. Cancer-related mortality is primarily caused by tumor metastases. Early cancer metastases occur in the regional lymph nodes. The accurate characterization of lymph nodes in cancer patients and patients with unexplained lymphadenopathy is fundamental for therapy planning and prognosis. The main objective of this research is to develop a lymph node metastasis analysis system based on ultrasound images and artificial intelligence techniques. This system could help doctors better assess lymph node metastasis. Moreover, due to the cost effectiveness of ultrasound imaging, routine medical ultrasound consultations could help detect malignancy at a much earlier stage.

关键词： cancer diagnosis lymph node evaluation image processing neural networks elastography

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Safe Control for Soft-Rigid Robots with Self-Contact using Control Barrier Functions 7

Safe Control for Soft-Rigid Robots with Self-Contact using C...

引用

7th international conference on Soft robotics (ROBOSOFT)

作者： Patterson, Zach J. Xiao, Wei Sologuren, Emily Rus, Daniela MIT Comp Sci & Artificial Intelligence Lab Cambridge MA 02139 USA

ISBN: (纸本)9798350381818

Incorporating both flexible and rigid components in robot designs offers a unique solution to the limitations of traditional rigid robotics by enabling both compliance and strength. This paper explores the challenges and solutions for controlling soft-rigid hybrid robots, particularly addressing the issue of self-contact. Conventional control methods prioritize precise state tracking, inadvertently increasing the system's overall stiffness, which is not always desirable in interactions with the environment or within the robot itself. To address this, we investigate the application of Control Barrier Functions (CBFs) and High Order CBFs to manage self-contact scenarios in serially connected soft-rigid hybrid robots. Through an analysis based on Piecewise Constant Curvature (PCC) kinematics, we establish CBFs within a classical control framework for self-contact dynamics. Our methodology is rigorously evaluated in both simulation environments and physical hardware systems. The findings demonstrate that our proposed control strategy effectively regulates self-contact in soft-rigid hybrid robotic systems, marking a significant advancement in the field of robotics.

关键词： Machine design

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Biomimetic Design and Kinematic analysis of a Rope-driven Soft Robotic Arm 9

Biomimetic Design and Kinematic Analysis of a Rope-driven So...

引用

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

作者： Ma, Ruile Peng, Jinzhu Yu, Pengfei Zhao, Nan Zhengzhou Univ Sch Elect & Informat Engn Zhengzhou Peoples R China Zhengzhou JD Cloud Comp Co Ltd Dept Artificial Intelligence Business Zhengzhou Peoples R China

ISBN: (纸本)9798350350319;9798350350302

Soft robotic arms have strong adaptability and their broad application prospects have been attracted increasing attention. In this paper, the structure of a kind of rope-driven soft robotic arm is designed based on the biological characteristics, and its kinematic model is established based on constant curvature analysis. The spatial posture and end position of the soft robotic arm are obtained through numerical simulations, and the results reveal the reachable workspace of the designed soft robotic arm. In addition, based on the inverse kinematics of soft robotic arm, the circular trajectory planning is analyzed and discussed. The experimental results of spatial posture and trajectory planning are consistent with the simulation results, which indicates that the designed soft robotic arm structure is reasonable and the kinematic analysis is correct.

关键词： soft robotic arm biomimetic design kinematic analysis circular trajectory planning

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An Energy-Efficient Smart Gait System 18th

An Energy-Efficient Smart Gait System

引用

18th international conference on Experimental robotics (ISER)

作者： Harris, Elsa Khoo, I-Hung Demircan, Emel Calif State Univ Long Beach CA 90840 USA Claremont Grad Univ Claremont CA 91711 USA

ISBN: (纸本)9783031635984;9783031635960;9783031635953

We present here proof of concept for a smart energy-efficient hybrid gait monitoring system. It consists of a hybrid Inertial Measuring Unit (IMU) and Triboelectric Nanogenerator (TENG) sensing module, and it utilizes multiple strategies to reduce the computational load and energy overhead of the device while maintaining accuracy. It meets the lower energy demands through a self-powered mechanism, thus eliminating the need for batteries. Firstly, a TENG harvests the biomechanical energy of human movement and is optimized for high energy output. Then the IMU sensor collects and processes only sparse data. An algorithm is implemented to select the best sampling points in the gait data, and it adapts as it gains knowledge of the user's walking pattern. The IMU sensor is powered intermittently through the TENG and a power management unit while the person is walking. Finally, a TinyML algorithm is employed for data intelligence at the device level.

关键词： IMU TENG gait analysis deep learning energy-efficient

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Time series for rail passengers flow prediction: a survey 28

Time series for rail passengers flow prediction: a survey

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28th international conference on Methods and Models in Automation and robotics (MMAR)

作者： Szymkowski, Maciej Wozniak, Wlodzimierz Jura, Bartosz Bialystok Tech Univ Fac Comp Sci Bialystok Poland Poznan Inst Technol Artificial Intelligence Dev Div Comp Sci Res Grp Lukasiewicz Res Network Poznan Poland

ISBN: (纸本)9798350362350;9798350362343

Nowadays, rails are one of the most popular forms of transportation. It is related to the relatively lower costs of the tickets in comparison to airplanes or even costs connected with travelling by car. It needs to be pointed out that this type of transportation has also one important issue that must be addressed. It is connected to the selection of the appropriate train type for all interested passengers. It is extremely hard especially when passengers' pileups are observed. In this work, we would like to propose an idea to consume time-series data for prediction of the passengers' flow in one, selected train station that is Lodz, Poland. Diversified algorithms that can be used directly in these data were presented and our own ideas are given. We would like to also propose our own pipeline built on the basis of all analyzed approaches.

关键词： time series analysis passengers flow prediction Artificial intelligence time series data railways survey

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