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检索条件"任意字段=International Conference on Advances in Science, Engineering and Robotics Technology"

共 47594 条记录，以下是171-180 订阅

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AI-Driven Grading of Mango Quality Using External Characteristics: A Machine Learning Approach

AI-Driven Grading of Mango Quality Using External Characteri...

引用

2024 IEEE international conference on Recent advances in science and engineering technology, ICRASET 2024

作者： Manu, Y.M. Priyanka, M.E. Adichunchanagiri University Bgs Institute of Technology Department of Computer Science & Engineering BG Nagara Mandya India

ISBN: (纸本)9798350388602

Right now, a lot of subjective human judgment goes into classifying mangoes and other fruits, especially when it comes to poor productivity, which results in less than ideal classification accuracy. Our work suggests a novel method for assessing fruit quality that takes into account both weight and exterior features in order to address this. Mangoes are graded into three groups, G1, G2, and G3, using machine learning approaches, namely Support Vector Machine (SVM) and K-Nearest Neighbors (KNN). These models make use of a variety of input features, transforming unstructured visual data into structured datasets for study. After preparation, the data are tested and trained to provide reliable classification results. © 2024 IEEE.

关键词： Adversarial machine learning

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Robotic 3D Printing for Customized Industrial Components: IoT and AI-Enabled Innovation 14

Robotic 3D Printing for Customized Industrial Components: Io...

引用

14th international conference on Cloud Computing, Data science and engineering, Confluence 2024

作者： Kanthimathi, T. Rathika, N. Fathima, A. Jainul Rajesh, K.S. Srinivasan, S. Thamizhamuthu, R. Koneru Lakshmaiah Education Foundation Department of Mechanical Engineering Andhra Pradesh Guntur India Mahendra Institute of Technology Department of Electrical and Electronics Engineering Tamil Nadu Tiruchengode India Francis Xavier Engineering College Department of Information Technology Tamil Nadu Tirunelveli India Madanapalle Institute of Technology & Science Department of Electrical and Electronics Engineering Andhra Pradesh Madanapalle India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India Srm Institute of Science and Technology Kattankulathur Campus-Chengalpattu Department of Computing Technologies Tamil Nadu Chennai India

ISBN: (纸本)9798350344837

Manufacturing has been transformed by robotic 3D printing, the Internet of Things (IoT), and Artificial Intelligence (AI). The research discusses how these cuttingedge advancements may maximize industrial component customization efficiency and precision. 3D printing's fundamentals and advances are explained to emphasize its importance in the current industry. robotics improves 3D printing speed and accuracy, demonstrating how automation enhances output in many industrial contexts. In this environment, the IoT enables real-time monitoring and management of 3D printing processes and predictive maintenance, assuring uninterrupted output. It discusses the IoT's potential to improve resource use and waste reduction with 3D printing. Intelligent algorithms for design optimization, material selection, and mistake detection are used in robotic 3D printing. Case studies show how AI-driven innovations improve product quality and design customization, meeting the rising need for individualized industrial components. These technologies work together to change production, according to our study. It demonstrates how this integration reduces costs and wastes and improves product performance. The problems and future of this technology fusion are explained, highlighting the necessity for strong cybersecurity and ethical issues. © 2024 IEEE.

关键词： 3D printing

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Design and Implementation of 2-DOF Arm Manipulator Robot as Robotic Kinematic Learning Platform 6

Design and Implementation of 2-DOF Arm Manipulator Robot as ...

引用

6th international conference on Vocational Education and Electrical engineering, ICVEE 2023

作者： Widayaka, Parama Diptya Puspitaningayu, Pradini Alamsyah, Sayyidul Aulia Muktiadji, Rifqi Firmansyah Widodo, Arif Abdillah, Rifqi Universitas Negeri Surabaya Dept. of Electrical Engineering Surabaya Indonesia King Abdulaziz University Dept. of Electrical and Computer Engineering Jeddah Saudi Arabia Okayama University Graduate School of Interdisciplinary Science and Engineering in Health Systems Okayamas Japan Institut Teknologi Sepuluh Nopember Surabaya Dept. of Informatics Surabaya Indonesia

ISBN: (纸本)9798350326642

Technological developments have impacts and challenges in human life. Technological advances have made human life easier. The impact of technological developments is the industrial manufacturing process getting faster with the help of robotics technology. Robots can shorten manufacturing process time and efficient. On the other hand, challenges with technological developments force us to keep learning and adaptive to every changes around us, especially in the education sector. In education sector, formal educational institutions or campuses must be able to facilitate students to be able to learn comprehensively in the field of technology, especially robotics, where we can make an innovative learning platform based on robotics technology. In this study, we discussed a 2-DOF arm manipulator robot as kinematics learning platform of industrial robot to increase student competencies in preparation for facing the industrial environment in century. Inverse kinematics equation has been applied in the robot by providing input coordinates on the x-Axis and y-Axis where the accuracy value on the x-Axis is 77% and the accuracy on the y-Axis is 83.1%. © 2023 IEEE.

关键词： Machine design

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Initial State Update-Based Position Control of Flexible Continuum Manipulators Utilizing Virtual Actuation Space

Initial State Update-Based Position Control of Flexible Cont...

引用

2024 IEEE international conference on robotics and Biomimetics, ROBIO 2024

作者： Firdaus, Md Modassir Prajapati, Smit Vadali, Madhu Indian Institute of Technology Department of Mechanical Engineering Gandhinagar India Indian Institute of Technology Research Intern at IITGN Robotics Lab Gandhinagar India

ISBN: (纸本)9781665481090

Continuum manipulators have proven their importance in applications requiring high articulation and their use in confined space usability. However, their control continues to remain a challenge. This paper proposes a novel control method for tendon-driven flexible continuum manipulators (FCMs). The proposed kinematic control exploits the fact that any three-dimensional motion of the FCM can be transformed into planar motion along a bending plane. Thus, a virtual actuation space is proposed with a virtual tendon and the angle of the bending plane as inputs with continuous adjustment of the initial state of FCM. A detailed formulation of the control methodology in the virtual actuation space is discussed in the paper. The methodology is validated experimentally for multiple positions with errors around 5% to 10%. © 2024 IEEE.

关键词： Inverse kinematics

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A Fruit and Vegetable Recognition System Based on EasyDL Artificial Intelligence Development Platform

A Fruit and Vegetable Recognition System Based on EasyDL Art...

引用

international conference on Computer Vision, robotics, and Automation engineering, CRAE 2024

作者： Tian, Zihan Chang, Rong Ma, Haofei Zhou, Peiyong School of Computer Science and Technology Xinjiang University Xinjiang Urumqi830017 China

ISBN: (纸本)9781510682283

Intelligent identification of fruits and vegetables can not only help reduce waste in picking and selling fruits and vegetables, but also effectively reduce production costs and sales prices. Therefore, it can provide better quality and more affordable fruits and vegetables products. In recent years, with the development of artificial intelligence technology, related algorithms based on deep learning have become a research hotspot. Fruit and vegetable identification technology based on deep learning technology can reduce labor costs in the food industry and standardize the industry. We propose a method for identifying fruits and vegetables based on the EasyDL artificial intelligence development platform. This method uses the EasyDL image classification model to design a data expansion process based on the image characteristics of fruits and vegetables. It utilizes multiple training methods of the EasyDL artificial intelligence development platform. It finally achieves accurate identification of fruit and vegetable types. © 2024 SPIE.

关键词： Food industry

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An Improved Ant Colony Optimization Algorithm for Multi-robot Path Planning under Complex Tasks 7

An Improved Ant Colony Optimization Algorithm for Multi-robo...

引用

7th international conference on Intelligent robotics and Control engineering, IRCE 2024

作者： Yuan, Shilong He, Zhou He, Pengyang Tang, Wei Shaanxi University of Science & Technology College of Electrical and Control Engineering Xi'an China Shaanxi University of Science & Technology College of Mechanical and Electrical Engineering Xi'an China

ISBN: (纸本)9798350352399

In this work, we study path planning for multi-robot systems under complex tasks, which are given by global high-level specifications represented as Boolean formulas. This paper proposes a path planning method based on an improved ant colony optimization algorithm to compute the trajectory of each robot, ensuring that the total trajectories of the team fulfill the Boolean specifications while minimizing the total motion cost. The algorithm introduces a neighborhood search mechanism to enhance the neighborhood search capability. In addition, it incorporates an elite strategy to improve the qualities of the offspring populations and algorithm convergence speed. Simulation results show that compared with the Boolean specification-based multi-robot system path planning method using simulated annealing, the improved algorithm reduces the convergence time and minimizes the cost of the team. The solution time is shorter and the solution quality is higher, demonstrating the effectiveness of the proposed algorithm in solving the path planning problem for complex multi-robot tasks. © 2024 IEEE.

关键词： Ant colony optimization

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Autonomous Door Opening with a Rescue Robot 10

Autonomous Door Opening with a Rescue Robot

引用

10th international conference on Automation, robotics, and Applications, ICARA 2024

作者： Abdulganeev, Renat Lavrenov, Roman Dobrokvashina, Alexandra Bai, Yang Magid, Evgeni Intelligent Robotics Department Kazan Russia Graduated School of Information Science and Technology Osaka University Osaka Japan

ISBN: (纸本)9798350394245

Autonomy of a mobile robot can only be achieved if it independently deals with obstacles. This article discusses an experience of autonomously opening doors by the Russian crawler rescue robot Servosila Engineer. A door and handle detection is based on the YOLO v3 algorithm. The robot motion and stopping at a predefined distance are guided by a laser range finder. After gripping the door handle, the door could be opened using either a pulling or pushing method. Recommended optimal distance to the door, an angle at which the robot turns towards the door and a stopping point for the robot were experimentally set and evaluated in an indoor office environment. © 2024 IEEE.

关键词： Mobile robots

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Automated Subject Allotment to Faculty in an Academic Institute Using Maxflow Problem

Automated Subject Allotment to Faculty in an Academic Instit...

引用

2024 international conference on advances in Computing Research on science engineering and technology, ACROSET 2024

作者： Sehta, Neha Shah, Naman Acropolis Institute of Technology and Research Department of Computer Science and Engineering Indore India

ISBN: (纸本)9798350388800

Presently, educational organizations are utilizing manual procedures to assign subjects to faculties depending on their own preferences, which gives rise to prejudice and therefore, discontentment. The best approach would be to allocate the most qualified individual to instruct the appropriate course, taking into account their knowledge and experience. Many instructional units rely on manual trial-and-error methods, which are time-consuming, inefficient, and prone to biased judgment. Moreover, the distribution is likely disadvantageous for several academic personnel. This study introduces an automated allocation of subjects to the faculties, taking into account the preferences in an effective way. The subject allocation problem is mapped into a maxflow problem and solved using Edmonds-Karp algorithm. A satisfaction metric can be computed to evaluate the effectiveness of the solution proposed which is average calculated on the distribution of subject as per the choice of faculty. © 2024 IEEE.

关键词： Automation

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A Dual-satellite Passive Positioning Method Based on Positioning Error Weights

A Dual-satellite Passive Positioning Method Based on Positio...

引用

2024 IEEE international conference on Control science and Systems engineering, ICCSSE 2024

作者： Zeng, Wei He, Hongyi Shi, Lixiang Yin, Tiangong Institute of Spacecraft Application System Engineering China Academy of Space Technology Beijing China

ISBN: (纸本)9798331517199

To enhance the detection capability of satellite systems for airborne targets, this paper proposes a dual-satellite passive positioning method that incorporates the weights of direction-finding errors. The method considers that the direction-finding error of the satellite relative to the target is influenced by distance. Based on the passive di-rection-finding results of the dual-satellite system, the target's position is determined by the weighted positioning error of each satellite on the common perpendicular segment of the dual-satellite direction-finding line. The fea-sibility of the proposed method is validated through simulation. © 2024 IEEE.

关键词： Errors

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Jigsaw-Based Benchmarking for Learning Robotic Manipulation 8

Jigsaw-Based Benchmarking for Learning Robotic Manipulation

引用

8th IEEE international conference on Advanced robotics and Mechatronics, ICARM 2023

作者： Liu, Xiaobo Wan, Fang Ge, Sheng Wang, Haokun Sun, Haoran Song, Chaoyang Southern University of Science and Technology Department of Mechanical and Energy Engineering Guangdong Shenzhen518055 China School of Design Southern University of Science and Technology Guangdong Shenzhen518055 China Hong Kong University of Science and Technology Robotics & Autonomous Systems Thrust System Hub Hong Kong Hong Kong The University of Hong Kong Department of Computer Science Hong Kong Hong Kong

ISBN: (纸本)9798350300178

Benchmarking provides experimental evidence of the scientific baseline to enhance the progression of fundamental research, which is also applicable to robotics. In this paper, we propose a method to benchmark metrics of robotic manipulation, which addresses the spatial-temporal reasoning skills for robot learning with the jigsaw game. In particular, our approach exploits a simple set of jigsaw pieces by designing a structured protocol, which can be highly customizable according to a wide range of task specifications. Researchers can selectively adopt the proposed protocol to benchmark their research outputs, on a comparable scale in the functional, task, and system-level of details. The purpose is to provide a potential look-up table for learning-based robot manipulation, commonly available in other engineering disciplines, to facilitate the adoption of robotics through calculated, empirical, and systematic experimental evidence. © 2023 IEEE.

关键词： Benchmarking

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