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检索条件"任意字段=IEEE Conference on Technologies for Practical Robot Applications"

共 5270 条记录，以下是151-160 订阅

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Shiitake Mushroom Semantic Segmentation Method Based on Search Focus Network 9

Shiitake Mushroom Semantic Segmentation Method Based on Sear...

引用

9th International conference on Automation, robotics and applications (ICARA)

作者： Du, Juan Liu, Songxuan South China Univ Technol Sch Automat Sci & Engn Guangzhou Peoples R China

ISBN: (纸本)9781665489218

The substantially similar texture features of sticks and shiitake mushrooms in the mushroom-growing environment make precisely labeled samples more expensive and semantic segmentation of shiitake mushrooms more challenging. In this paper, a search focus network(SFNet) for semantic segmentation of shiitake mushrooms was proposed, which utilized the group-reversal attention module(GRAM) to strengthen semantic information understanding and trained via transfer learning and data augmentation strategies. The experimental results on the self-built shiitake mushroom sticks dataset revealed that structural measure S-alpha, weighted F-measure F-beta(omega), adaptive E-measure E phi(ad), and absolute mean error M of SFNet were 0.9161, 0.9113, 0.9808, and 0.0049, respectively, with practical and steady performance. With only a few training samples, the proposed approach can accomplish the semantic segmentation task of shiitake mushrooms.

关键词： Semantic segmentation Transfer learning Data augmentation Attention mechanism

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The Design of a Domestically Produced Core Board Towards the Application of Service-Oriented robot

The Design of a Domestically Produced Core Board Towards the...

引用

2023 ieee International conference on Image Processing and Computer applications, ICIPCA 2023

作者： Zhang, Hongkui Xu, Lei Tong, Xiaoyu Zhou, Wenfeng Li, Changqing Beijing Zhixin Microelectronics Technology Company Limited Industry Expansion Department Beijing China

ISBN: (纸本)9798350314670

With the rapid development of science and technology, and with the help of the development of science and technology, various tools to improve the quality of human life are also rapidly updated. Intelligent robot products are a kind of complex hardware system based on the integration of environmental awareness, motion control, voice interaction, machine vision, the Internet of Things and other technologies. Now products has entered many fields of human life and production, providing many intelligent services based on scientific and technological development for people to a certain extent. This paper develops the core board of service robot based on domestic independent chips, which can provide an overall solution based on the core board for service robot research and development manufacturers. The core board for service robot applications is applicable to service robots, interactive advertising machines, interactive digital signage, intelligent self-service terminals, intelligent retail terminals, industrial control hosts and many other application fields. © 2023 ieee.

关键词： Motion control

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Research on the System Design and Application of Mobile Manipulator Hybrid robot for Transporting in Intelligent Factory 6

Research on the System Design and Application of Mobile Mani...

引用

6th International conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2024

作者： Qin, Xiaohong Zhang, Lianhao Zhao, Bin Shenyang Institute of Science and Technology Shenyang China Northeastern University Shenyang China SIASUN Robot & Automation Co. Shenyang China

ISBN: (纸本)9798331516550

Based on the development and application status of mobile manipulator hybrid robot, this paper takes the handling process requirements of intelligent factories in China as the research objective to design and develop a composite robot platform system. The hardware system mainly includes mobile platforms, manipulators, and sensors. The software system mainly consists of control systems, software architectures, algorithm libraries and corresponding communication protocols. This platform system has the key technologies of scene information perception, mobile path planning and self-collision detection of the manipulator during the grasping process, which are necessary in engineering project applications. The corresponding innovative algorithms are embedded in it, and scene tests and effect analysis are carried out in a memory module production factory. Test results show that, compared with mainstream products and application technologies in the field, this mobile manipulator hybrid robot can use multiple sensors to obtain scene information and conduct high-precision data fusion, simultaneously meet multiple measurement indicators of mobile path planning, and quickly achieve pre-collision warning without the application of sensors, verifying the effectiveness and advancement of the independently developed platform system. © 2024 ieee.

关键词： Machine design

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Artificial Intelligence In Cybersecurity applications 28

Artificial Intelligence In Cybersecurity Applications

引用

28th ieee International conference on Intelligent Engineering Systems (INES)

作者： Sharko, Anni Dasho Sharko, Genci Qose, Silvana Luarasi Univ Fac Informat Technol & Innovat Tirana Albania Polytech Univ Tirana Fac Elect Engn Tirana Albania Obuda Univ Doctoral Sch Safety & Secur Sci Budapest Hungary

ISBN: (纸本)9798350367607;9798350367591

People cannot handle the volume of data and the complexity of processes needed to secure cyberspace without significant automation. However, it is challenging to develop technologies and software with conventional fixed implementations ( hardwired decision-making logic) that successfully defend against security risks. AI learning techniques and machine simplicity can be used to treat this issue. Artificial intelligence (AI) approaches have been attempted to be used in a variety of cyber security applications recently. This paper gives an overview to the algorithms that might be used to have a better protection for our systems. This paper examines the crucial role that artificial intelligence plays in cybersecurity, as well as its benefits, drawbacks, and practical applications from the largest global corporations, such as PayPal and AWS. Also gives the benefits of using AI technology for Security.

关键词： Artificial Intelligence Cybersecurity Security Methods

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Semi-Autonomous Teleoperated robot for Enhanced Human-Machine Interaction

Semi-Autonomous Teleoperated Robot for Enhanced Human-Machin...

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2025 International conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025

作者： Menti, Giridhar Babu Chowdary, V Ravindranadh Nagasarapu, Naga Lakshmi Pujitha Godugunuri, Guru Kavya Abburi, Pramod Yerramsetty, Jaswanth Velagapudi Ramakrishna Siddhartha Engineering College Dept. of Eee Vijayawada India Eruvaka Technologies Dept. of Eee Vijayawada India

ISBN: (纸本)9798331509828

In recent years, advancements in robotics have increasingly focused on improving human-machine interaction (HMI) through semi-autonomous systems, particularly by integrating cutting-edge technologies such as the Internet of Things (IoT) and robotic Operating System 2 (ROS 2). This paper presents the design, fabrication and evaluation of a semi- autonomous teleoperated robot specifically engineered for dynamic field navigation. Equipped with a differential drive system, the robot is optimized to maneuver freely and effectively across diverse terrains. It operates under the ROS2 Humble framework on a Raspberry Pi 4 (RPi 4), which ensures precise control and stable maneuverability in real-world conditions. The robot's teleoperation capabilities are enhanced by an optimized teleop - key algorithm and its IoT integration facilitates seamless communication, real-time feedback, and adaptive control. This combination significantly boosts the robot's efficiency and versatility, enabling it to execute tasks with greater precision, flexibility and safety in field environments. The integration of the Internet of things is a crucial element providing for real-time monitoring, remote control, and data-driven decision-making, hence enhancing both the operating potentials of the robot and its reliability. The findings highlight the potential of these technologies to advance field robotics, making them more effective for applications such as teleop exploration, environmental monitoring and complex operational tasks. © 2025 ieee.

关键词： Human robot interaction

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Face Detection and Recognition Based Intelligence Surveillance robot for Attendance System 2

Face Detection and Recognition Based Intelligence Surveillan...

引用

2nd International conference on Recent Trends in Microelectronics, Automation, Computing, and Communications Systems, ICMACC 2024

作者： Sowjanya, G. Durga Rajunaik, M. Nitya Pushkala, V. MLR Institute of Technology Department of Electronics and Communication Engineering Hyderabad India

ISBN: (纸本)9798350366570

Proposed paper implements face detection and recognition based video surveillance robot model for attendance system. Proposed paper uses approach that detects and recognizes individual information from predefined database using Haar detection within Wi-Fi connectivity. Proposed paper implements a robot using Raspberry Pi controller and web camera for face detection and face recognition. It uses OpenCV libraries for python and database management system. Proposed method can replace old method of using passwords and minimizes real time human errors. Proposed paper implements robot for moving to different places to detect and recognizes faces in any background. Proposed system is tested on various datasets with various backgrounds and results will validate the accuracy of face recognition method. With its faster and authentic performance, it is suitable for applications of automation, educational institutions, industrial applications etc. © 2024 ieee.

关键词： Wi-Fi

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robotic Fish driven by Twisted and Coiled Polymer Actuators at High Frequencies

Robotic Fish driven by Twisted and Coiled Polymer Actuators ...

引用

ieee International conference on Soft robotics (RoboSoft)

作者： You, Tsam Lung Rossiter, Jonathan Philamore, Hemma Univ Bristol Dept Engn Math Bristol BS8 1TR Avon England Univ Bristol Bristol Robot Lab Bristol BS8 1TR Avon England

ISBN: (纸本)9798350332223

Twisted and coiled polymer (TCP) actuator is a promising novel actuator, exhibiting attractive properties of light weight, low cost, high energy density and simple fabrication process. However, coiled polymer actuators have low non-resonant actuation frequencies because of the time needed for heat dissipation during the relaxation phase. This restricts them to applications where frequencies are less than 0.5 Hz. In this paper, we present a robotic fish driven by a novel TCP-spring antagonistic pair at high frequencies in water. By minimizing the distance between the TCP and the spring, the robot achieved a maximum swimming velocity of 25.7 mm/s (11.5% body length/s) by undulatory flapping of its caudal fin at a frequency of 2 Hz using periodic Joule heating. This demonstrates the highest frequency and swimming speed achieved for a TCP actuator in a practical aquatic application. The design, fabrication and verification of the fish robot, including characterisation of the TCP actuators in air and water, are presented. A study on different fin stiffness is also presented. This paper provides a new route to raising the actuation frequency of TCPs through thermomechanical design and shows the possibility of using TCPs at high frequency in aqueous environments.

关键词： Machine design

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Integration of ABB robot Manipulators and robot Operating System for Industrial Automation 21

Integration of ABB Robot Manipulators and Robot Operating Sy...

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ieee 21st International conference on Industrial Informatics (INDIN)

作者： Diprasetya, Mochammad Rizky Yuwono, Steve Loppenberg, Marlon Schwung, Andreas South Westphalia Univ Appl Sci Dept Automat Technol & Learning Syst Soest Germany

ISBN: (纸本)9781665493130

The integration of advanced robotic technologies with modern software platforms has enabled significant advancements in industrial automation. This paper aims to introduce a novel workflow to integrate ABB industrial robot manipulators and the robot Operating System (ROS), where communication is built through OPC Unified Architecture or a virtual controller with EGM+RWS. Moreover, we also provide a method to deploy the ROS environment using container technology in our workflow. The developed workflow was tested and evaluated in a real-world welding application, demonstrating its capability to automate the welding process of steel looped hooks for supermarket shelves with high accuracy and efficiency, in which the path planner for the robot is obtained from MoveIt by ROS. The introduced workflow can also be integrated with the MLPro framework, which enriches the workflow with machine learning-related algorithms, e.g. for path planning. The results of this study demonstrate the potential of integrating ABB industrial robot manipulators with ROS for industrial process automation and highlight the benefits of using ROS as a software platform for industrial robotics applications.

关键词： robotics robot manipulators industrial automation path planning ROS robotStudio Docker OPC UA MoveIt ABB

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Image-based Pose Estimation and Shape Reconstruction for robot Manipulators and Soft, Continuum robots via Differentiable Rendering

Image-based Pose Estimation and Shape Reconstruction for Rob...

引用

ieee International conference on robotics and Automation (ICRA)

作者： Lu, Jingpei Liu, Fei Girerd, Cedric Yip, Michael C. Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA Univ Montpellier CNRS LIRMM Montpellier France UCSD La Jolla CA USA

ISBN: (纸本)9798350323658

State estimation from measured data is crucial for robotic applications as autonomous systems rely on sensors to capture the motion and localize in the 3D world. Among sensors that are designed for measuring a robot's pose, or for soft robots, their shape, vision sensors are favorable because they are information-rich, easy to set up, and cost-effective. With recent advancements in computer vision, deep learning-based methods no longer require markers for identifying feature points on the robot. However, learning-based methods are data-hungry and hence not suitable for soft and prototyping robots, as building such bench-marking datasets is usually infeasible. In this work, we achieve image-based robot pose estimation and shape reconstruction from camera images. Our method requires no precise robot meshes, but rather utilizes a differentiable renderer and primitive shapes. It hence can be applied to robots for which CAD models might not be available or are crude. Our parameter estimation pipeline is fully differentiable. The robot shape and pose are estimated iteratively by back-propagating the image loss to update the parameters. We demonstrate that our method of using geometrical shape primitives can achieve high accuracy in shape reconstruction for a soft continuum robot and pose estimation for a robot manipulator.

关键词： Iterative methods

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Reinforcement Learning for robot Navigation 15

Reinforcement Learning for Robot Navigation

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15th International conference on Advances in Computing, Control, and Telecommunication technologies, ACT 2024

作者： Suyash, Kumar Kumar, Pratyush Dubey, Ayush Kumar Tiwari, Shubh Tiwari, Abhishek Pavithra, G. Manjunath, T.C. VII Sem Electronics & Communication Engineering Dayananda Sagar College of Engineering Karnataka Bangalore India Dept. of Electronics & Communication Engineering Dayananda Sagar College of Engineering Karnataka Bangalore India

ISBN: (纸本)9798331300579

This paper undertakes a comprehensive exploration of the application of Reinforcement Learning (RL) in robotic systems, with a specific focus on the navigation tasks carried out in intricate environments. The primary objective is to elevate the adaptability, efficiency, and generalization capabilities of robots. The study delivers an insightful overview of RL concepts, accentuating their relevance in the context of robot navigation. It systematically evaluates various RL algorithms, with a particular emphasis on Deep Reinforcement Learning (DRL). The analysis incorporates crucial considerations such as state representation, action space, and reward shaping. In addition to scrutinizing RL algorithms, the paper delves into the integration of sensor data, mapping techniques, and Simultaneous Localization and Mapping (SLAM) within RL frameworks, aiming to enhance the robot's perception capabilities. The discussion extends to the adaptation of RL methodologies to address real-world challenges, including dynamic obstacles and unknown terrains. The paper substantiates its findings through the presentation of case studies and experiments that exemplify practical applications of RL in robotic navigation. The conclusion of the paper encapsulates a thoughtful discussion on existing challenges, potential future research directions, and anticipated advancements in the field. The overarching goal is to provide a comprehensive resource for researchers and practitioners interested in harnessing RL to augment autonomous robot navigation within complex and dynamic environments. By offering a thorough examination of RL applications and addressing practical challenges, this paper contributes significantly to the evolving landscape of robotics research and technology. © Grenze Scientific Society, 2024.

关键词： Mapping

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