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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101-110 订阅

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Genetic algorithm for automatic construction, optimization and testing of multi-input forked convolutional neural networks used for diagnostics of rotating agricultural machines 28

Genetic algorithm for automatic construction, optimization a...

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

作者： Sewiolo, Mateusz Mystkowski, Arkadiusz Bialystok Tech Univ Fac Elect Engn PL-15351 Bialystok Poland

ISBN: (纸本)9798350362350;9798350362343

The third decade of the 21st century can undoubtedly be called the "smart" decade. Manufacturers of all devices try to integrate the functions of their products with methods based on artificial intelligence as much as possible. This trend has also reached industrial and agricultural machine manufacturers, where neural network diagnostics is no longer just a thing of the future and is becoming something every day. As developing AI methods requires a high degree of expert knowledge and is time-consuming, we propose a method to automate the entire process. Thanks to the use of a three-step genetic algorithm, we managed to create a system that can create the appropriate AI architecture based on neural networks, optimise it, and test it completely autonomously. We confirmed its effectiveness by using our method to develop a multi-input, forked convolutional network capable of recognizing nine different states (healthy and eight different damages) of an agricultural rotary tedder with an accuracy of approximately 98%.

关键词： convolutional neural network genetic algorithm agriculture rotary tedder vibration analysis fault diagnosis neural network optimization

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Curriculum for a New Five-Year Academic Program in Intelligent Systems Engineering and Software Engineering

Curriculum for a New Five-Year Academic Program in Intellige...

引用

international conference on Computational Science and Computational intelligence (CSCI)

作者： Solo, Ashu M. G. Maverick Trailblazers Inc Wilmington DE 19805 USA

ISBN: (纸本)9798350361513;9798350372304

This research paper proposes a curriculum for a five-year academic program with a bachelor's degree (honors) in intelligent systems engineering and software engineering and a master's degree in intelligent systems engineering and software engineering. This program includes courses in data structures, compiler design, operating system design, firmware design, database systems, computer graphics and virtual reality design, static and dynamic website design, development of chatbots and voice assistants, software engineering methodology, knowledge-based systems, fuzzy logic, neural networks, evolutionary computation, evolutionary multiojective optimization, machine learning, image processing, computer vision, pattern recognition, voice recognition, natural language processing, data science, control systems, intelligent control systems, robotics, digital signal processing, mathematics, engineering physics, biology, etc. These degrees will allow graduates to have a good understanding of all of the main branches of intelligent systems engineering and software engineering as well as other relevant subjects in electrical and computer engineering.

关键词： education intelligent systems computational intelligence soft computing artificial intelligence machine learning software development firmware development

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On Experimental Emulation of Printability and Fleet Aware Generic Mesh Decomposition for Enabling Aerial 3D Printing

On Experimental Emulation of Printability and Fleet Aware Ge...

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IEEE international conference on robotics and Automation (ICRA)

作者： Stamatopoulos, Marios-Nektarios Banerjee, Avijit Nikolakopoulos, George Lulea Univ Technol Dept Comp Elect & Space Engn Robot & Artificial Intelligence Grp S-97187 Lulea Sweden

ISBN: (纸本)9798350384581;9798350384574

This article introduces an experimental emulation of a novel chunk-based flexible multi-DoF aerial 3D printing framework. The experimental demonstration of the overall autonomy focuses on precise motion planning and task allocation for a UAV, traversing through a series of planned space-filling paths involved in the aerial 3D printing process without physically depositing the overlaying material. The flexible multi-DoF aerial 3D printing is a newly developed framework and has the potential to strategically distribute the envisioned 3D model to be printed into small, manageable chunks suitable for distributed 3D printing. Moreover, by harnessing the dexterous flexibility due to the 6 DoF motion of UAV, the framework enables the provision of integrating the overall autonomy stack, potentially opening up an entirely new frontier in additive manufacturing. However, it's essential to note that the feasibility of this pioneering concept is still in its very early stage of development, which yet needs to be experimentally verified. Towards this direction, experimental emulation serves as the crucial stepping stone, providing a pseudo mockup scenario by virtual material deposition, helping to identify technological gaps from simulation to reality. Experimental emulation results, supported by critical analysis and discussion, lay the foundation for addressing the technological and research challenges to significantly push the boundaries of the state-of-the-art 3D printing mechanism. - Full mission video available at https://***/gfZuYCA8jAw

关键词： Motion planning

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Research Progress and Knowledge Mapping analysis of Smart Classrooms based on CiteSpace 6

Research Progress and Knowledge Mapping Analysis of Smart Cl...

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

作者： Liu, Chen Guo, Qingji Zhu, Ying Network Information Center Xi'an Jiao Tong University Shaanxi Xi'an China School of Automation and Information Engineering Xi'an University of Technology Shaanxi Xi'an China

ISBN: (纸本)9798331541699

With the rapid development of Internet technology, the design and application of smart classrooms has become one of the hot research topics in the field of educational technology. It is also a focus of many national governments, enterprises, scientific research institutes and educational researchers. In order to explore the research hot spots and development trends of smart classrooms, this article collects documents from the Web of Science database in this field from 2000 to 2024, and conducts visual analysis through knowledge and methods related to knowledge map combined with CiteSpace software. From the aspects of year distribution of paper, author and institutional cooperation, keyword co-occurrence analysis and cluster analysis, we sort out the research overview and research hotspots of smart classrooms. This paper summarizes existing research results, explores issues and directions worthy of attention by future researchers to provide reference for subsequent research and development in this field. © 2024 IEEE.

关键词： CiteSpace Knowledge Mapping Smart Classroom Visualization analysis

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Semantic Segmentation of Vehicle Steering Column pattern Image Based on K-Net Network 6

Semantic Segmentation of Vehicle Steering Column Pattern Ima...

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

作者： Wu, Tingxuan Li, Jing Shen, Nanyan Tang, Xiaobo Wang, Xin School of Mechatronic Engineering and Automation Shanghai University Shanghai China Mechatronic Co. Ltd. Shanghai China

ISBN: (纸本)9798331541699

As an important assembly part of the automobile, the steering column module is mainly used to control the turn signal and the wiper switch. Therefore, it is necessary to check the integrity of its printed beacon pattern. However, the image quality of the traditional image processing vision system is easily affected by the field environment, and due to the existence of a large number of reflection areas in the image, the image segmentation is low precision, low adaptability and high error rate. Therefore, this paper uses K-Net deep learning network semantic segmentation model to automatically remove image reflection. By using Swin-T backbone network and introducing self-attention mechanism, the segmentation performance of beacon is further improved, and the anti-reflective binary segmentation of beacon is realized. Finally, the superiority of the above model is verified in the production line data set of enterprise steering column products. The experimental results show that: (1) K-Net network has a good segmentation effect, and its mIoU reaches 95.77%;(2) After using the Swin-T backbone network, the mIoU of K-Net model increased by 1.1% compared with the traditional CNN backbone network. © 2024 IEEE.

关键词： Semantic Segmentation

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Ground Station Software Design Based on Human Machine Hybrid intelligence: A Command and Control Application of Human in the Loop 6

Ground Station Software Design Based on Human Machine Hybrid...

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

作者： Wang, Qian Ji, Haoran Wu, Ziwei Ni, Pengde Liu, Lu Intelligent Game and Decision Lab Beijing China

ISBN: (纸本)9798331541699

Ground station software plays a crucial role in the intelligent development of unmanned aerial vehicles (UAVs) across various countries. This work analyzes the current shortcomings of ground station software in supporting UAV missions. In response, a command-and-control system for ground station software, based on human-machine hybrid intelligence, is proposed. The system design includes multiple aspects such as human-machine modeling, human-machine interface design, and human-machine data sharing. These aspects cover task deployment, task monitoring, and task analysis. To validate the effectiveness of the proposed ground station software, a simulation testing environment integrated with Docker containers is constructed to package and isolate UAV control software. This setup is used to test the collaborative operation of hundreds of UAVs and the control by commanders. Experimental results demonstrate that the application achieves effective coordination, high command capabilities, and stable operation, making it a significant advancement in enhancing the intelligence and efficiency of UAV swarm tasks. © 2024 IEEE.

关键词： Software testing

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An Elastic Shoulder Joint for Humanoid robotics Application 9

An Elastic Shoulder Joint for Humanoid Robotics Application

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9th international conference on Automation, robotics and Applications (ICARA)

作者： Yessirkepov, Sharafatdin Umurzakov, Timur Shaimerdenov, Rassul Folgheraiter, Michele Nazarbayev Univ Sch Engn & Digital Sci Dept Robot Kabanbay Batyr Ave 53 Nur Sultan 01000 Kazakhstan

ISBN: (纸本)9781665489218

Designing multiple DOFs joints having a parallel kinematic structure brings additional challenges, if compared with classical single DOF joints. Generally, it is more difficult to formalize the forward kinematic model for a parallel kinematic chain, in addition, while performing a target motion, the actuators have to be carefully coordinated to avoid wasting energy or cause damages to the system. The problem is becoming even more complex if instead of using a rigid structure, elastic elements are incorporated in the design. With this work, we present how to make usage of the method of Finite Element analysis (FEA) in order to compare alternative designs for the central leg of a shoulder joint having a parallel kinematic architecture. The optimization process of the joint's design was defined by providing 2 different scenarios: 1) bending and 2) twisting. Moreover, we introduce how to model the kinematics of an elastic legs, by replacing the bending object with a combination of 3 universal joints and 2 links. In order to increase the payload-to-weight ratio of the shoulder joint, a high power-to-weight ratio servomotor was integrated by using a tendon-driven mechanism.

关键词： Humanoid Shoulder Joint Parallel Manipulator Tendon-driven Mechanism

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Key Components and Future Development analysis of Humanoid Robots 8

Key Components and Future Development Analysis of Humanoid R...

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8th international conference on robotics, Control and Automation (ICRCA)

作者： Zhao, Song Jiang, Zhiyong Li, Yunji Xu, Jinxin Wang, Chunlei CETC Planning & Dev Dept Res Inst 21 Shanghai Peoples R China CETC Robot Engn Ctr Res Inst 21 Shanghai Peoples R China CETC Sci & Technol Dept Res Inst 21 Shanghai Peoples R China

ISBN: (纸本)9798350344738;9798350344721

Humanoid robots are currently at the forefront of robotics research, representing a cutting-edge technology that integrates mechanical, electrical, control, algorithmic, and embodied intelligence modules into a complex electromechanical system. This article provides an overview of the current status and future technological trends in humanoid robot development. It summarizes the general technological roadmap and critical key elements, with a specific emphasis on body design, motion control algorithms, and core component technologies. Additionally, the article analyzes the future innovation chain, industrial ecosystem, and industrialization trends for humanoid robots. Humanoid robots and their associated industries are poised to play a pivotal role in reshaping production methods and lifestyles while enhancing the quality of life for people.

关键词： humanoid robots critical key elements motion control algorithms core components development trends analysis

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SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM for Resource-Constrained Embedded Platforms 18

SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM fo...

引用

18th international conference on Control Automation robotics and Vision

作者： Pudasaini, Niraj Hanif, Muhammad Abdullah Shafique, Muhammad New York Univ Abu Dhabi NYUAD Abu Dhabi U Arab Emirates

ISBN: (纸本)9798331518509;9798331518493

Optimizing Deep Learning-based Simultaneous Localization and Mapping (DL-SLAM) algorithms is essential for efficient implementation on resource-constrained embedded platforms, enabling real-time on-board computation in autonomous mobile robots. This paper presents SPAQ-DL-SLAM, a framework that strategically applies Structured Pruning and Quantization (SPAQ) to the architecture of one of the state-of-the-art DL-SLAM algorithms, DROID-SLAM, for resource and energy-efficiency. Specifically, we perform structured pruning with fine-tuning based on layer-wise sensitivity analysis followed by 8-bit post-training static quantization (PTQ) on the deep learning modules within DROID-SLAM. Our SPAQ-DROID-SLAM model, optimized version of DROID-SLAM model using our SPAQ-DL-SLAM framework with 20% structured pruning and 8-bit PTQ, achieves an 18.9% reduction in FLOPs and a 79.8% reduction in overall model size compared to the DROID-SLAM model. Our evaluations on the TUM-RGBD benchmark shows that SPAQ-DROID-SLAM model surpasses the DROID-SLAM model by an average of 10.5% on absolute trajectory error (ATE) metric. Additionally, our results on the ETH3D SLAM training benchmark demonstrate enhanced generalization capabilities of the SPAQ-DROID-SLAM model, seen by a higher Area Under the Curve (AUC) score and success in 2 additional data sequences compared to the DROID-SLAM model. Despite these improvements, the model exhibits performance variance on the distinct Vicon Room sequences from the EuRoC dataset, which are captured at high angular velocities. This varying performance at some distinct scenarios suggests that designing DL-SLAM algorithms taking operating environments and tasks in consideration can achieve optimal performance and resource efficiency for deployment in resource-constrained embedded platforms.

关键词： Sensitivity analysis

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Design and analysis of Key Equipment for Large Capacity Power Systems 17th

Design and Analysis of Key Equipment for Large Capacity Powe...

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17th international conference on Intelligent robotics and Applications

作者： Wan, Dechun Wang, Haibo Hu, Guan Zheng, Zhanfeng State Grid Elect Power Res Inst Nanjing 210000 Peoples R China

ISBN: (纸本)9789819607792;9789819607808

The large-capacity test system for ultra-high voltage dry bushing explosion testing requires the development of a complete switchgear and explosion test platform for shock generator protection and operation. This paper designs and analyzes a new generator circuit breaker for large-capacity systems, and provides specific parameters and detailed physical design drawings. On this basis, this paper proposes a 252kV level explosion test platform to provide more application options for safety testing of large-capacity systems.

关键词： large-capacity test system Generator circuit breaker Ultra-high voltage dry bushing explosion test

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