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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31-40 订阅

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Creating an Adaptive Robot for Personalized Health Monitoring and Assistances

Creating an Adaptive Robot for Personalized Health Monitorin...

引用

2025 IEEE international Students' conference on Electrical, Electronics and Computer Science, SCEECS 2025

作者： Ponnuru, Sudhakiran Sai Pranathi, T. Nayak, Gnanesh H Pandi, Maruthu Rishitha Ambati, Sai Kode, Siddeshwar S New Horizon College of Engineering Department of Electronics & Communication Engineering Bangalore India New Horizon College of Engineering Department of Computer Science Engineering Bangalore India

ISBN: (纸本)9798331529833

Medical robots are a groundbreaking advancement in healthcare, utilizing robotics and automation to improve precision, efficiency, and accessibility in medical procedures. They are utilized in various applications, including minimally invasive surgeries, rehabilitation, diagnostics, and patient care. Surgical robots, such as the da Vinci Surgical System, are notable examples because they allow physicians to do intricate procedures with greater dexterity and a lower chance of human error. Rehabilitation robots support patient mobility recovery by customizing therapy to meet individual needs and progress. Diagnostic robots utilize imaging technologies to assist in early disease detection and accurate diagnostics, often incorporating artificial intelligence (AI) for image analysis and pattern recognition. The emergence of autonomous and semi-autonomous robots in medical environments promises to alleviate the workload of healthcare professionals, streamline processes, and enhance response times in critical care scenarios. However, the integration of robotics into healthcare also poses challenges, such as ethical dilemmas, regulatory obstacles, and concerns regarding data privacy and patient safety. The future of medical robotics will rely on overcoming these issues while promoting innovation. © 2025 IEEE.

关键词： Medical robotics

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2024 5th international conference on Artificial intelligence, robotics and Control, AIRC 2024

2024 5th International Conference on Artificial Intelligence...

引用

5th international conference on Artificial intelligence, robotics and Control, AIRC 2024

ISBN: (纸本)9798350385076

The proceedings contain 27 papers. The topics discussed include: effective misbehavior detection system based on machine learning approaches for V2V;versatility of low-resolution tactile sensing for edge and pose detection;advancing sustainable energy: analyzing stochastic algorithms and Q-learning for wind farm layout optimization;enhancing parameter identification in robot manipulators: experimental validation;practical integration of IoT sensor data with open source ERP: optimizing processes, driving insights, and enabling smart vision and full business automation;analysis of the design parameters of a climbing robot for wind turbine towers inspection;adaptive robotic grasping with replay tail memory enhancement;and experimental analysis of Gmapping SLAM algorithm for mobile robot indoor navigation.

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Review on Artificial intelligence in Medicine and Health 2

Review on Artificial Intelligence in Medicine and Health

引用

2024 international conference on Medical Artificial intelligence

作者： Almaeeni, Hassan Purdue Univ Sch Engn Technol W Lafayette IN 47907 USA

ISBN: (纸本)9798350377620;9798350377613

Artificial intelligence (AI) encompasses a wide array of technologies that emulate human intelligence to perform tasks such as diagnosis, treatment planning, and patient management in healthcare. Recent innovations in AI, such as deep learning, natural language processing, and robotics, have significantly transformed medical practices. This review highlights key innovations, including AI's role in enhancing diagnostic accuracy through imaging analysis, optimizing treatment strategies with predictive analytics, and improving patient outcomes via personalized medicine. By focusing on both virtual and physical branches of AI in healthcare, this paper underscores the transformative impact of AI, aiming to bridge gaps in efficiency, precision, and patient care.

关键词： Health Medicine Artificial intelligence Cancer Diabetes Cardiac Disease Mental Health Radiology Medical imaging Clinical Microbiology Personalized Medicine

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The influence of extraversion on a robot developmental learning in a human robot interaction

The influence of extraversion on a robot developmental learn...

引用

IEEE international conference on Development and Learning (ICDL)

作者： Guedjou, Hakim Boucenna, Sofiane Chaby, Laurence Cohen, David Chetouani, Mohamed Cy Cergy Paris Univ ETIS UMR8051 Cergy France Sorbonne Univ ISIR UMR722 Paris France Sorbonne Univ GH Pitie Salpetriere AP HP ISIR UMR7222 Paris France

ISBN: (纸本)9798350348569;9798350348552

Social robotics continues to expand as a prominent area of research due to the increasing use of robots in settings involving social interactions. In this paper we study the social dimension of human robot interaction during a posture imitation game. We discuss how human personality traits influence a learning robot. A neural architecture is used to enable autonomous and interactive learning. We address this issue by linking the performance of the robot algorithms (learning trajectory, convergence, recognition score...) to the personality traits of its partners (extraversion and anxiety). As results of this work we noticed the emergence of pattern related to the extraversion trait of individuals interacting with the robot but no evidence for anxiety. By analyzing the robot's learning with each partner, we observe that the acquisition time of the partner's visual representation was correlated with the extraversion trait. The results show that even in a simple posture imitation game, we observe a fluctuation in a robot's learning based on the personality traits exhibited by its human partner.

关键词： Social robotics developmental learning humanrobot interaction personality traits extraversion

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Design of an Adaptive Spiral-Loop Pipeline Robot Based on Laser SLAM 6

Design of an Adaptive Spiral-Loop Pipeline Robot Based on La...

引用

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

作者： Wang, Chengda School of Artificial Intelligence Anhui University Anhui Hefei China

ISBN: (纸本)9798331541699

Urban development leads to a large and complex underground pipe network with pipe issues. Regular inspections of pipelines are necessary. Current pipeline robots have drawbacks like limited diameter adaptability, high traveling resistance and poor navigation. Manual inspection is inefficient. This paper presents an adaptive spiral-loop pipeline robot using Laser SLAM. Its mechanical structure has a spiral mode and loop design to reduce resistance. It employs a multi-stage screw-nut-spring support rod type diameter-changing mechanism to adapt to pipes of different diameters. For localization in GPS-ineffective underground, Laser SLAM is applied. After validating the solution's feasibility via structure and trajectory analysis, the ROS/Gazebo and evo tool are used for simulation. Quantitative analysis shows the robot's average absolute error in the pipeline is under 0.58m and stability standard deviation is less than 0.27m, proving Laser SLAM's applicability. © 2024 IEEE.

关键词： SLAM robotics

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pattern Recognition of Partial Discharge Faults Using Convolutional Neural Network (CNN) 8

Pattern Recognition of Partial Discharge Faults Using Convol...

引用

8th international conference on Control and robotics Engineering (ICCRE)

作者： Butdee, Jakrin Kongprawechnon, Waree Nakahara, Hiroki Chayopitak, Nattapon Kingkan, Cherdsak Pupadubsin, Ruchao Thammasat Univ Sirindhorn Int Inst Technol Sch ICT Bangkok Thailand Tokyo Inst Technol Ookayama Campus 2-12-1 OokayamaMeguro Ku Tokyo 1528550 Japan Natl Elect & Comp Technol Ctr 112 Thailand Sci PkPhahon Yothin RdKlong 1 Klongluang 12120 Pathumthani Thailand

ISBN: (纸本)9798350345650

Partial Discharge (PD) analysis is one the most widely used methods to monitor and determine the fault conditions of electrical equipment, especially in high-voltage environments such as power transformers and power generators. Conventional method of PD analysis that is widely used in multiple studies and commercial equipment usually rely on a feature extraction technique such as the Phase Resolved Partial Discharge (PRPD) pattern to assist PD experts to inspect the faults in the system. This study proposes a CNN based method to recognize the PRPD patterns for different types of PD. The differences of each type of PD, data pre-processing steps and visualization of PD waveforms in PRPD patterns are discussed in details. The obtained PRPD pattern images are then used to train a pattern recognition model and the results show that the proposed method can effectively classify different types of PD under consideration.

关键词： pattern recognition partial discharge analysis fault diagnosis machine learning

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The Uniqueness of Gait patterns Differs Across Data Modalities and Walking Conditions 10

The Uniqueness of Gait Patterns Differs Across Data Modaliti...

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10th IEEE RAS/EMBS international conference for Biomedical robotics and Biomechatronics (BioRob)

作者： Sun, Mingrui Horst, Fabian Slijepcevie, Djordje Oetomo, Denny Tan, Ying Bacek, Tomislav Univ Melbourne Melbourne Vic Australia Johannes Gutenberg Univ Mainz Mainz Germany St Polten Univ Appl Sci St Polten Austria

ISBN: (纸本)9798350386523;9798350386530

This paper investigates the level of information that different data modalities-including ground reaction force, joint angles and angular velocities, and the body's centre of mass-hold in terms of the uniqueness of the gait pattern. The study uniquely extends across three walking speeds and five step frequencies per speed, including a total of 15 walking conditions. Using the classification accuracy of a machine learning algorithm as a proxy to the uniqueness of gait signature, the study provides a better understanding of the gait patterns across different modalities and walking conditions in the context of inter and intra-subject gait variability.

关键词： Gait analysis

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Deformation pattern Shape Sensing for Visuotactile Endoscope

Deformation Pattern Shape Sensing for Visuotactile Endoscope

引用

2024 IEEE international conference on Real-Time Computing and robotics, RCAR 2024

作者： Yu, Yanzhe Tian, Yuan Cui, Shaowei Wang, Yupeng Wang, Rui Wang, Shuo Beijing University of Science and Technology Beijing100083 China The University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom Institute of Automation Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100049 China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Shanghai200031 China

ISBN: (纸本)9798350372601

The integration of visuotactile sensor technology with endoscopy enables the provision of tactile information for minimally invasive surgeries and other operations. This paper proposes a real-time sensing framework for contact deformation pattern shape, providing a foundation for precise perception in miniaturized visuotactile sensors. Specifically, we first construct a Deformation pattern shape Descriptor (DPSD) and then track the key points in the descriptor using optical flow to obtain contact deformation shape information. Through extensive qualitative and quantitative experiments, our proposed algorithm achieves an average perception accuracy of around 83.81% for contact pattern shapes. It demonstrates consistent perception accuracy across various contact force magnitudes, directions, and scenarios, highlighting its robustness. Additionally, compared to traditional marker-level methods, it achieves a notable 46.5% improvement in displacement field perception accuracy. This research elevates tactile perception to the dimension of contact pattern shape sensing and has the potential for application in miniaturized visual tactile sensors. © 2024 IEEE.

关键词： Endoscopy

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Design and analysis of A Novel Supernumerary Robotic Limb Mount on the Twist of Collaborative Robot 9

Design and Analysis of A Novel Supernumerary Robotic Limb Mo...

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

作者： Zeng, Puyi Chen, Jiayue Li, Dongjie Li, Zinan Zhang, Yang Shenzhen Technol Univ AIMech Lab Shenzhen 518118 Peoples R China Shenzhen Technol Univ Sino German Coll Intelligent Mfg Shenzhen 518118 Peoples R China

ISBN: (纸本)9798350385731;9798350385724

In this paper, we present a novel type of supernumerary robotic limb(SRL) for the collaborative robot manipulator. It consists of a 7-degree-of-freedom (DOF) manipulator, a dexterous hand, a 5-DOF serial manipulator, and ring-type mechanisms, thus it could enhance remote flexibility and maneuverability, expand the workspace and complete complex tasks that require the cooperation of dual robotic arms. The detailed design, workspace, and kinematics of the prototype are discussed, and the experiment result by simulating the process of peeling a banana shows that the system proposed could further improve the working space and flexibility of the traditional manipulator.

关键词： Service robot Robot manipulation Workspace

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Design and analysis of a Compliant Constant-Force Guiding Mechanism With Quasi-Zero Reaction Force 9

Design and Analysis of a Compliant Constant-Force Guiding Me...

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

作者： Wu, Zeyi Xu, Qingsong Univ Macau Fac Sci & Technol Dept Electromech Engn Ave Univ Taipa Macau Peoples R China

ISBN: (纸本)9798350385731;9798350385724

This paper presents the design and analysis of a new compliant constant-force guiding mechanism (CCFGM). One uniqueness is that it does not require an initial force or displacement input to enter the constant-force motion range, which is desirable for practical application. It has a mirror symmetrical structure involving negative- and positive-stiffness mechanisms, and is able to balance the preload by itself. A constant output force in both forward and backward directions is obtained relative to the initial position, which enables a quasi-zero reaction force within the designed motion stroke. Based on the finite-element analysis (FEA) simulation study, the main design parameters of the mechanism have been optimized. The obtained results indicate that the CCFGM has the ability to provide a quasi-zero constant force between -0.1549 N and 0.1485 N, and its guiding stroke is around 4.73 mm. The reported CCFGM can be widely applied in ultrahigh-precision positioning application.

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