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

共 15862 条记录，以下是211-220 订阅

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Egocentric Behaviour analysis Based on Object Relationship Extraction for Cognitive Rehabilitation Support 17th

Egocentric Behaviour Analysis Based on Object Relationship E...

引用

17th international conference on Intelligent robotics and Applications

作者： Besari, Adnan Rachmat Anom Rahmah, Syadza Atika Ardilla, Fernando Saputra, Azhar Aulia Obo, Takenori Kubota, Naoyuki Tokyo Metropolitan Univ Fac Syst Design Dept Mech Syst Engn Hachioji Tokyo Japan Politekn Elekt Negeri Surabaya Dept Informat & Comp Engn Surabaya Indonesia

ISBN: (纸本)9789819607853;9789819607860

Human behaviour recognition plays a significant role in early intervention for the cognitive rehabilitation of older people. While existing methods focus on improving third-person vision, human visual attention has been largely ignored in recognition, especially when humans interact with objects. This paper proposes an egocentric behaviour analysis (EBA) based on object relationships using multi-scopic approach. First, we use egocentric vision to extract features from hand posture, object detection, and visual attention movement at the microscopic level. Second, we develop the perception ability to validate the hand-object interaction (HOI) with visual attention at the mesoscopic level. Third, we implement the cognitive ability to describe human activity with multiple object interactions at the macroscopic level. We analyzed Graph Attention Networks (GAT) to evaluate the proposed method for categorizing some activities. The experimental results demonstrate that the GAT can successfully classify related objects with activities. Further research and development are expected to support the robotics application in our living laboratory.

关键词： first-person vision behaviour recognition environmental context human attention episodic memory

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Service Quality Loss of Passenger Car Drive Shafts Based on Rigidity Degradation Law 6

Service Quality Loss of Passenger Car Drive Shafts Based on ...

引用

6th international conference on robotics and Computer Vision, ICRCV 2024

作者： Gu, Junyan Wang, Jingang Huang, Bixiong Liu, Xintian School of Mechanical and Automotive Engineering Shanghai University of Engineering Science Shanghai China

ISBN: (纸本)9798331527426

As passenger car drive shafts enter the service phase, considering the impact of material properties, complex working conditions, and driver habits, the trend of change in the key quality characteristic values of the passenger car drive shafts should be nonlinear. Collect data based on the standard method for the wear test of the drive shaft, and fits the wear pattern curve based on the results of the bench wear test of the drive shaft. Furthermore, by analyzing the previous research on the stiffness degradation law of the drive shaft tube, the average service quality loss function of the drive shaft is revised. This provides a theoretical support for the life prediction and reliability analysis of passenger car drive shafts during the service phase. © 2024 IEEE.

关键词： Reliability analysis

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Millibots: Integrating Deep Learning Algorithms for Autonomous Control in Small-Scale robotics 15

Millibots: Integrating Deep Learning Algorithms for Autonomo...

引用

15th international conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Sneha, A. Angel Diwan, B. Stella Maris College Of Engineering Artificial Intelligence and Data Science Department Nagercoil India Joesphs College Of Engineering Department of Computer Science St Chennai India

ISBN: (纸本)9798350370249

Millibots, miniature robotic platforms, have emerged as pivotal tools in various domains, ranging from medical interventions to environmental monitoring. However, their diminutive size presents formidable challenges in achieving autonomous navigation and control. In this paper, we delve into the realm of millibots and propose a groundbreaking approach to tackle these challenges by integrating deep learning algorithms for autonomous control. Leveraging the power of deep learning, we address the intricate interplay between perception, decision-making, and locomotion in small-scale robotics. Our methodology not only overcomes the limitations inherent to millibots but also unlocks new frontiers in their application. Through a comprehensive review of related work, meticulous experimentation, and insightful analysis, we demonstrate the unparalleled efficacy of our approach. This paper not only accelerates the advancement of small-scale robotics but also envisions a new era of autonomous exploration and innovation. © 2024 IEEE.

关键词： Motion planning

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Exploring Muscle Synergies for Performance Enhancement and Learning in Myoelectric Control Maps

Exploring Muscle Synergies for Performance Enhancement and L...

引用

international conference on Rehabilitation robotics (ICORR)

作者： Tse, K. C. Capsi-Morales, P. Castaneda, T. Spiegeler Piazza, C. Tech Univ Munich Sch Computat Informt & Technol Dept Comp Engn Munich Germany Tech Univ Munich Munich Inst Robot & Machine Intelligence Munich Germany

ISBN: (纸本)9798350342758

This work proposes two myoelectric control maps based on a DoF-wise synergy algorithm, inspired by human motor control studies. One map, called intuitive, matches control outputs with body movement directions. The second one, named non-intuitive, takes advantage of different synergies contribution to each DoF, without specific correlation to body movement directions. The effectiveness and learning process for the two maps is evaluated through performance metrics in ten able-bodied individuals. The analysis was conducted using a 2-DoFs center-reach-out task and a survey. Results showed equivalent performance and perception for both mappings. However, learning is only visible in subjects that performed better in non-intuitive mapping, that required some familiarization to then exploit its features. Most of the myoelectric control designs use intuitive mappings. Nevertheless, non-intuitive mapping could provide more design flexibility, which can be especially interesting for patients with motor disabilities.

关键词： Mapping

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Localization Performance of an Autonomous Forklift in a Warehouse Environment 11

Localization Performance of an Autonomous Forklift in a Ware...

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11th IEEE international conference on Cybernetics and Intelligent Systems (CIS) / 11th IEEE international conference on robotics, Automation and Mechatronics (RAM)

作者： Meng, Wei Huang, Zefan Zhou, Xuejun Mao, Fujun Liang, Chao Shi, Linqiang Lu, Zhengchen Li, Yu Zhong, Suoming Yang, Yu Li, Yinghao Zhu, Tingting Weng, Jianzhi Xu, Songyi Zhu, Baochang Chen, Xiaohu Zhang, Zhiyu Ang, Marcelo H., Jr. NOBLELIFT INTELLIGENT EQUIPMENT CO LTD Zhejiang Key Lab Adv Intelligent Warehousing & Lo Shanghai Peoples R China NOBLELIFT INTELLIGENT EQUIPMENT CO LTD Zhejiang Key Lab Adv Intelligent Warehousing & Lo Changxing Peoples R China NOBLELIFT INTELLIGENT EQUIPMENT CO LTD Noblelift Grp Res Inst Changxing Peoples R China

ISBN: (纸本)9798350364200;9798350364194

This paper studies SLAM-related work, builds an experimental platform in an actual production environment, and designs experiments to compare several internationally leading commercial SLAM solutions with an open-source SLAM based solution. We also compare localization performance using a retro-reflective landmark system. Their key indicators such as positioning accuracy and repeatability accuracy were evaluated. At the end of the paper, the advantages and disadvantages of each SLAM scheme are comprehensively evaluated from aspects such as performance and cost.

关键词： SLAM Positioning Accuracy Repeatability Accuracy Performance Evaluation Cost analysis

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Can Educational robotics Experiences Shape Early Childhood Interpersonal Dynamics? An Exploratory Investigation 3

Can Educational Robotics Experiences Shape Early Childhood I...

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3rd IEEE international conference on Metrology for eXtended Reality, Artificial intelligence and Neural Engineering, MetroXRAINE 2024

作者： Vitanza, Alessandra Morleo, Federica Pagliuca, Paolo Catania Italy Italy

ISBN: (纸本)9798350378009

Interpersonal relationships play a crucial role in our lives. Building strong and positive relationships, especially in early childhood education, fosters social and emotional growth and prepares the ground for future educational success. However, addressing interpersonal challenges among children in early childhood settings through educational robotics experiences re-mains a complex, understudied, and sometimes controversial topic. There are limited resources and interventions tailored to this age range. In this context, our research aims to bridge this gap by experimenting with an intervention itinerary based on educational robotics and analyzing the resulting changes in interpersonal relationships. Our findings support the hypothesis that highly appealing robot-mediated experiences may impact the dynamics of relationships. © 2024 IEEE.

关键词： Educational robots

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Visualization analysis of medical robot research in the past 20 years 4

Visualization analysis of medical robot research in the past...

引用

4th international conference on Bioinformatics and Intelligent Computing (BIC)

作者： Shang, Huichao Zhang, Xiao Li, Penglei Zhongyuan Univ Technol Mech & Elect Coll Zhengzhou 450007 Peoples R China

ISBN: (纸本)9798400716645

Medical robot research is one of the important research directions in the field of robotics. By searching the Web of Science core collection database, the relevant literature on medical robot research from January 1,2002 to December 31,2022 was retrieved and used as a research sample. Using CiteSpace software combined with VOSviewer and Pajek software for visual analysis, identify and analyze its research status, research hotspots and evolution trends, and predict its development direction. Finally, we found that the research institutions cooperate more, but there are regional constraints. The research hotspots mainly focus on the research of surgical robot, mechanical design and system development, and the deep integration of robot and medical treatment. In recent years, the keywords of related literature in this field mainly include Artificial intelligence, human-computer interaction, software robots, care and so on. Research on telemedicine, AI assistance, and flexible wearables are some of the future development directions in this field.

关键词： Medical robot visual analysis research hotspots CiteSpace VOSviewer

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Study of Kinematics and Trajectory Planning for the Pneumatic Soft Manipulator 17th

Study of Kinematics and Trajectory Planning for the Pneumati...

引用

17th international conference on Intelligent robotics and Applications

作者： Che, Lu Chen, He Li, Zhaoqi Hebei Univ Technol Sch Artificial Intelligence Tianjin 300401 Peoples R China Wuhan Text Univ Hubei Key Lab Digital Textile Equipment Wuhan 430200 Peoples R China

ISBN: (纸本)9789819607976;9789819607983

The pneumatic soft manipulator is made of flexible materials, which has the characteristics of strong environmental adaptability, safe human-machine interaction, etc. In practice, the pneumatic soft manipulator has more and more applications in medical rehabilitation, aquaculture, pipeline maintenance, search and rescue work, etc. In recent years, the demand for pneumatic soft manipulators has increased, and higher requirements have been put forward for their flexibility and operation accuracy. However, due to the large deformation nonlinear characteristics of the pneumatic soft manipulator, its kinematic modeling is difficult. Considering this fact, this paper focuses on the kinematic modeling and trajectory planning for the pneumatic soft manipulator with three chambers. Firstly, we obtain the forward kinematic and inverse kinematic models of the pneumatic soft manipulator with three chambers through rigorous analysis and mathematical derivation. After that, based on the kinematic model, we propose a trajectory planning method for the pneumatic soft manipulator with three chambers. Finally, simulation results are given to test the satisfactory performance of the proposed method.

关键词： Pneumatic soft manipulator Kinematic model Trajectory planning

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Predictive Modelling on Caloric Expenditure: Exploring Machine Learning Techniques for Enhanced analysis

Predictive Modelling on Caloric Expenditure: Exploring Machi...

引用

2024 international conference on Control and Automation, Electronics, robotics, Internet of Things, and Artificial intelligence, CERIA 2024

作者： Justin, Javier Tan, Kezia Revalina Edbert, Ivan Sebastian Suhartono, Derwin School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798331511166

Predicting caloric expenditure accurately remains a significant challenges due to individual variability, which frequently results in mistakes in established approaches such as metabolic computation and self-reported data. This research tackles this issue by examining the efficacy of several machine learning methods for forecasting calorie expenditure. The study compares a variety of models, including Linear Regression, eXtreme Gradient Boosting (XGB), Gradient Boosting Regressor (GBR), Ada Regressor, ExtraTrees Regressor, Random Forest, and Stacking Regressor. The XGBoost model has outstanding performance characteristics, including a mean absolute error (MAE) of 8.494312, mean square error (MSE) of 159.6425, root mean square error (RMSE) of 12.6350, and a high R-squared (R2) score of 0.9603. These results demonstrate that machine learning algorithms can produce more precise forecasts of calorie expenditure than traditional methods. This study improves knowledge and implementation of predictive models in the realm of health by employing sophisticated modeling methodologies. © 2024 IEEE.

关键词： Adversarial machine learning

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Model-Based System Engineering (MBSE) for Design of Mechatronic Products 11

Model-Based System Engineering (MBSE) for Design of Mechatro...

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11th IEEE international conference on Cybernetics and Intelligent Systems (CIS) / 11th IEEE international conference on robotics, Automation and Mechatronics (RAM)

作者： Bi, Z. M. Purdue Univ Ft Wayne Dept Civil & Mech Engn Ft Wayne IN 46805 USA

ISBN: (纸本)9798350364200;9798350364194

This paper reports the progress of an ongoing project "Emergency Evacuation System for Disabilities in Wheelchair" sponsored by Engineering Projects in Community Service (EPICS) of IEEE. The project aims to develop an advanced mechatronic system that will be used to evacuate a disabled in a wheelchair from a high-rise building with the minimal assistances from caregivers. In this paper, the needs to develop such a system are discussed thoroughly, existing evacuation techniques are investigated to identify their limitations, a new evacuation system is conceived to enhance safety, flexibility, and efficiency of existing techniques. The project also explores a new way to support students' collaborations in designing a complex mechatronic system effectively. Model-Based System Engineering (MBSE) is adopted in designing key system components with minimized couplings with others, and the case study development has evidenced the systematism and effectiveness of MBSE in dealing with couplings, complexity, and scalability of complex mechatronic systems.

关键词： Mechatronics Engineering Projects in Community Service (EPICS) Model-Based System Engineering (MBSE) Motion analysis Axiomatic Design Assistive Technologies Emergence Evacuation and Stair-Walking

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