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1

Williams, Rua M. "I, Misfit." Techné: Research in Philosophy and Technology 25, no. 3 (2021): 451–78. http://dx.doi.org/10.5840/techne20211019147.

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I draw upon Critical Disability Studies and Race Critical Code Studies to apply an oppositional reading of applied robotics in autism intervention. Roboticists identify care work as a prime legitimizing application for their creations. Popular imagination of robotics in therapeutic or rehabilitative contexts figures the robot as nurse or orderly. Likewise, the dominant narrative tropes of autism are robotic—misfit androids, denizens of the uncanny valley. Diagnostic measures reinforce tropes of autistic uncanniness: monotonous speech, jerky movements, and systematic, over-logical minds. Today,
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W.S.S.Perera and Prabodha Lenora. "Robotics in Sri Lanka: Current Status and Future Potential." International Journal of Engineering and Management Research 12, no. 6 (2022): 264–68. http://dx.doi.org/10.31033/ijemr.12.6.36.

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Sri Lanka is a technological leader around the globe. As a result, Sri Lanka’s software sector is conducting several trials with Artificial intelligence, machine learning, and the Internet of Things. This study places an emphasis on the application of artificial intelligence in a major domain, robotics, which will have a significant impact in Sri Lanka in the near future. Starting from an introduction to the robotics domain in Sri Lanka, we discuss what is robotics, the impact of robotics in the world, and Sri Lanka in brief. This paper examines the current state of robotics in Sri Lanka, with
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Blasiak, Slawomir, Jerzy Bochnia, Jakub Takosoglu, et al. "3D/4D Printing in Advanced Robotics Systems—Recent Developments and Applications." Sustainability 16, no. 24 (2024): 11174. https://doi.org/10.3390/su162411174.

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3D/4D printing technologies are currently among the fastest growing cutting-edge fabrication technologies. The scale of their applications is vast and applicable to nearly all industries. Three-dimensional printing technologies are particularly popular in robotics and especially in advanced design innovative solutions for areas such as manufacturing, space technology, and medicine. The development of robotics, and, in particular, of the precision of manufactured components, such as actuators, pneumatic muscles, power transmission units, etc., means that new prototypes are still being made, and
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Pransky, Joanne. "The Pransky interview: Dr Maja Matarić, Professor, University of Southern California; Pioneer, field of socially assistive robotics; co-founder of Embodied." Industrial Robot: the international journal of robotics research and application 46, no. 3 (2019): 332–36. http://dx.doi.org/10.1108/ir-04-2019-0069.

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Purpose The following paper is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD and innovator regarding her pioneering efforts and the challenges of bringing a technological invention to market. This paper aims to discuss these issues. Design/methodology/approach The interviewee is Dr Maja Matarić, Chan Soon-Shiong Distinguished Professor in the Computer Science Department, Neuroscience Program, and the Department of Pediatrics at the University o
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C., Ujjwal K., and Jacques Chodorowski. "A Case Study of Adding Proactivity in Indoor Social Robots Using Belief–Desire–Intention (BDI) Model." Biomimetics 4, no. 4 (2019): 74. http://dx.doi.org/10.3390/biomimetics4040074.

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The rise of robots and robotics has proved to be a benefaction to humankind in different aspects. Robotics evolved from a simple button, has seen massive development over the years. Consequently, it has become an integral part of human life as robots are used for a wide range of applications ranging from indoor uses to interplanetary missions. Recently, the use of social robots, in commercial indoor spaces to offer help or social interaction with people, has been quite popular. As such, taking the increasing use of social robots into consideration, many works have been carried out to develop t
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Anil, Anil Kumar Prajapati, and Umesh Kumar Singh. "An Optimal Solution to the Overfitting and Underfitting Problem of Healthcare Machine Learning Models." Journal of Systems Engineering and Information Technology (JOSEIT) 2, no. 2 (2023): 77–84. http://dx.doi.org/10.29207/joseit.v2i2.5460.

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In the current technological era, artificial intelligence is becoming increasingly popular. Machine learning, as the branch of AI is taking charge in every field such as healthcare, the Stock market, Automation, Robotics, Image Processing, and so on. In the current scenario, machine learning and/or deep learning are becoming very popular in medical science for disease prediction. Much research is underway in the form of disease prediction models by machine learning. To ensure the performance and accuracy of the machine learning model, it is important to keep some basic things in mind during tr
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Hariprasath., S., S.M GiriRajkumar., Yahya. A. Mohamed, Krishna. M. Hari, and Kumaran. K. Krishna. "Object Detection using SIFT features." International Journal of Multidisciplinary Research Transactions 5, no. 7 (2023): 55–61. https://doi.org/10.5281/zenodo.7916449.

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In computer vision, determining the presence and placement of objects inside an image is known as object detection. A popular feature extraction approach known as SIFT (Scale-Invariant Feature Transform) is invariant to changes in scale, rotation, and illumination. This method use a sliding window to scan the image at various scales and positions after extracting SIFT feature descriptors from the input image. To pinpoint the position of the object in the image, the SIFT descriptors are compared to the object's descriptors. It has been demonstrated that the SIFT feature detection method wor
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Nguyen, Hoang-Sy, Huynh-Cong Danh, Quoc-Phu Ma, et al. "A Bibliometrics Analysis of Medical Internet of Things for Modern Healthcare." Electronics 12, no. 22 (2023): 4586. http://dx.doi.org/10.3390/electronics12224586.

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The integration of the Internet of Things (IoT) in healthcare has been a popular topic in recent years. This article provides a comprehensive review of the medical IoT for healthcare, emphasizing the state of the art, the enabling technologies to adopt virtuality and reality interaction, and human-centered communication for healthcare (the Metaverse, Extended Reality (XR), blockchain, Artificial Intelligence (AI), robotics). In particular, we assess the number of scientific articles and patents within the period 2015–2022. We then use the two-stage process following the Preferred Reporting Ite
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Bağlar, Almira, and Güneş Sargüney. "A Framework for the Post-Industrial World: Japanese Approach to A.I and Society." GLOBAL PERSPECTIVES ON JAPAN, no. 5 (March 31, 2022): 83–104. http://dx.doi.org/10.62231/gp5.160001a04.

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As one of the first countries to publish a comprehensive national AI strategy, Japan has not only pioneered many of the technological advancements, but also contributed tremendously to the popular understanding of the means to create a post-industrial society. In addition to the official documents that frame the upcoming AI revolution in the eyes of the citizens, Japan has been working towards creating a legislative system that covers the issues arising due to the emerging technologies, especially robotics and AI. The purpose of this study is to analyse different aspects of Japan’s national AI
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Tourani, Ali, Hriday Bavle, Jose Luis Sanchez-Lopez, and Holger Voos. "Visual SLAM: What Are the Current Trends and What to Expect?" Sensors 22, no. 23 (2022): 9297. http://dx.doi.org/10.3390/s22239297.

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In recent years, Simultaneous Localization and Mapping (SLAM) systems have shown significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous Localization and Mapping (VSLAM) methods refer to the SLAM approaches that employ cameras for pose estimation and map reconstruction and are preferred over Light Detection And Ranging (LiDAR)-based methods due to their lighter weight, lower acquisition costs, and richer environment representation. Hence, several VSLAM approaches have evolved using different camera types (e.g., monocular or stereo), and have been tested on v
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Avé, Thomas, Tom De Schepper, and Kevin Mets. "Policy Compression for Intelligent Continuous Control on Low-Power Edge Devices." Sensors 24, no. 15 (2024): 4876. http://dx.doi.org/10.3390/s24154876.

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Interest in deploying deep reinforcement learning (DRL) models on low-power edge devices, such as Autonomous Mobile Robots (AMRs) and Internet of Things (IoT) devices, has seen a significant rise due to the potential of performing real-time inference by eliminating the latency and reliability issues incurred from wireless communication and the privacy benefits of processing data locally. Deploying such energy-intensive models on power-constrained devices is not always feasible, however, which has led to the development of model compression techniques that can reduce the size and computational
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Yoo, Hojin, and Kyungkoo Jun. "Point Cloud Classification by Domain Adaptation Using Recycling Max Pooling and Cutting Plane Identification." Sensors 23, no. 3 (2023): 1177. http://dx.doi.org/10.3390/s23031177.

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Deep models have been studied in point cloud classification for the applications of autonomous driving and robotics. One challenging issue is that the point cloud of the same object could be discrepantly captured depending on sensors. Such a difference is the main cause of the domain gap. The deep models trained with one domain of point clouds may not work well with other domains because of such a domain gap. A technique to reduce domain inconsistency is domain adaptation. In this paper, we propose an unsupervised domain adaptation with two novel schemes. First, to improve unreliable pseudo-la
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Mohammed Alkhaldi, Tabark, Noor Essam, Ahmed Ali Talib Al-Khazaali, et al. "A Survey Study of the Deep Learning for Convolutional Neural Network Architecture." BIO Web of Conferences 97 (2024): 00083. http://dx.doi.org/10.1051/bioconf/20249700083.

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The deep learning (DL) computer paradigm has been the industry standard for machine learning (ML) during the past few years. It has gradually become the most widely used computational technique in machine learning. One of the benefits of DL is its ability to learn massive amounts of data. Deep learning has seen tremendous growth in the last several years and has been successfully used for many traditional applications. More importantly, DL has outperformed popular machine learning algorithms in several domains, such as cybersecurity, bioinformatics, robotics, etc. The field remains mostly uned
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Jasinska, Aleksandra. "Evaluation of the Quality of a Checkerboard Camera Calibration Compared to a Calibration on a Laboratory Test Field." Baltic Surveying 16 (December 22, 2022): 21–28. http://dx.doi.org/10.22616/j.balticsurveying.2022.16.003.

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For photogrammetric works, a fundamental issue is the determination of camera internal orientation parameters (IOP). Without camera calibration, it is difficult to imagine a correct adjustment of the image network. Many industries use non-metric cameras, ranging from automatics and robotics, to heritage inventories, and the increasingly popular social mapping phenomenon uses low-budget cameras. Many different calibration methods exist, but dedicated calibration fields are commonly replaced by fast in-plane calibration with regular patterns. The main goal of this research is to verify the thesi
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Thakur, Nirmalya, Kesha A. Patel, Audrey Poon, Rishika Shah, Nazif Azizi, and Changhee Han. "A Comprehensive Analysis and Investigation of the Public Discourse on Twitter about Exoskeletons from 2017 to 2023." Future Internet 15, no. 10 (2023): 346. http://dx.doi.org/10.3390/fi15100346.

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Exoskeletons have emerged as a vital technology in the last decade and a half, with diverse use cases in different domains. Even though several works related to the analysis of Tweets about emerging technologies exist, none of those works have focused on the analysis of Tweets about exoskeletons. The work of this paper aims to address this research gap by presenting multiple novel findings from a comprehensive analysis of about 150,000 Tweets about exoskeletons posted between May 2017 and May 2023. First, findings from temporal analysis of these Tweets reveal the specific months per year when
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Smirnov, Evgeniy I., Vera S. Abaturova, and Natalia M. Galaseeva. "Measuring the teacher's readiness to manage of student’s mathematical and computer modeling in the development of complex systems and knowledge." Perspectives of Science and Education 60, no. 6 (2022): 566–82. http://dx.doi.org/10.32744/pse.2022.6.34.

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Introduction. In recent years the development of student’s creativity and self-organization has been the basic trend of mathematical education in schools and universities due to the need of large amounts of information process, the variability and uncertainty of external factors impact, the increasing role of competencies importance in practice-oriented tasks solving. The works of philosophers, psychologists, and teachers show that the main means of these problems solving in modern world can be overcoming difficulties in complex systems and knowledge study by students based on a symbiosis of m
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Motienko, Anna, Irina Vatamaniuk, and Anton Saveliev. "Development of technical appearance of human-machine interface for group control of unmanned robots when performing agricultural tasks." Robotics and Technical Cybernetics 9, no. 4 (2022): 299–311. http://dx.doi.org/10.31776/rtcj.9407.

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Abstract One of the promising areas of using robotic systems (RS) is group control of robots. The means of ensuring the operator's interaction with autonomous RS for monitoring and remote control - the human-machine interface (HMI) of the robotic systems, are discussed in the paper. The foreign and domestic publications describing existing approaches and priority directions to the construction of HMIs for various types of robotic systems - ground and air, as well as modern commercial solutions in this area are analyzed in the paper. The performed analysis allows us to conclude that the most po
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Raviola, Andrea, Andrea De Martin, Roberto Guida, Giovanni Jacazio, Stefano Mauro, and Massimo Sorli. "Harmonic Drive Gear Failures in Industrial Robots Applications: An Overview." PHM Society European Conference 6, no. 1 (2021): 11. http://dx.doi.org/10.36001/phme.2021.v6i1.2849.

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Industrial robots play a key role in production lines. As a direct consequence, even a slight degradation of their operating conditions could negatively affect the entire manufacturing process. To minimize economical losses, preventive measures such as planned maintenance or stand-by working stations are adopted and, in some cases, additional manipulators are installed to ensure line availability. However, since each robot performs a specific task, it degrades at a different rate from another one, so Planned Preventive Maintenance (PPM) should be replaced with Condition Based Maintenance (CBM)
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Arpitha, H. V. K. M. Shweta Nikhil S. Pattar Rahul Kuntoji Chetan B. V. "Arduino Based Trainable Robotic Arm." International Journal for Research Trends and Innovation An International Open Access Journal Published In: Volume 2 Issue 5, May-2017, Published In: Volume 2 Issue 5, May-2017 (2017): page no.337–339. https://doi.org/10.5281/zenodo.807564.

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The popular concept of a robot is of a machine that looks and works like a human being. The industry is moving from current state of automation to robotization, to increase productivity and to deliver uniform quality. A trainable robotic arm is proposed in this paper. The robotic arm is implemented based on the teach function of the arduino. The proposed robotic arm is capable of learning different movements and reproduces them as required. The industrial robots of today may need this type of capabilities to meet the increasing needs of the current trends.
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Братерська-Дронь, М. Т. "«У РОБОТІВ – СВОЇ КАЗКИ» (РОБОТОТЕХНІЧНА ПРОБЛЕМАТИКА В СОЦІОКУЛЬТУРНОМУ ПРОСТОРІ ХХ – ПОЧАТКУ ХХІ СТ.)". Humanities journal, № 2 (29 жовтня 2018): 19–34. http://dx.doi.org/10.32620/gch.2018.2.03.

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Robotic problems are one of the most relevant in contemporary socio-cultural space. Mechanical man appeared in the cultural traditions of our civilization repeatedly. Its invariance is found even in the Upanishads, Kabbalah, the myths of Ancient Greece.However, the theme of an artificial man in his modern work-engineering interpretation made the first step in the world from the easy hand of Karel Chapek, in his play «R.U.R.» (1920). It is the Czech writer introducing the term «robot» (in English translation). In essence, Karel Chapek in the early twentieth century. has defined the main philoso
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Wong, Kok Wai, Tamás Gedeon, and Chun Che Fung. "Special Issue on Advances in Intelligent Data Processing." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 3 (2007): 259–60. http://dx.doi.org/10.20965/jaciii.2007.p0259.

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Technological advancement using intelligent techniques has provided solutions to many applications in diverse engineering disciplines. In application areas such as web mining, image processing, medical, and robotics, just one intelligent data processing technique may be inadequate for handling a task, and a combination or hybrid of intelligent data processing techniques becomes necessary. The sharp increase in activities in the development of innovative intelligent data processing technologies also attracted the interest of many researchers in applying intelligent data processing techniques in
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Lai, Yujun, Gavin Paul, Yunduan Cui, and Takamitsu Matsubara. "User intent estimation during robot learning using physical human robot interaction primitives." Autonomous Robots 46, no. 2 (2022): 421–36. http://dx.doi.org/10.1007/s10514-021-10030-9.

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AbstractAs robotic systems transition from traditional setups to collaborative work spaces, the prevalence of physical Human Robot Interaction has risen in both industrial and domestic environments. A popular representation for robot behavior is movement primitives which learn, imitate, and generalize from expert demonstrations. While there are existing works in context-aware movement primitives, they are usually limited to contact-free human robot interactions. This paper presents physical Human Robot Interaction Primitives (pHRIP), which utilize only the interaction forces between the human
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Khodamipour, Gholamreza, Saeed Khorashadizadeh, and Mohsen Farshad. "Observer-based adaptive control of robot manipulators using reinforcement learning and the Fourier series expansion." Transactions of the Institute of Measurement and Control 43, no. 10 (2021): 2307–20. http://dx.doi.org/10.1177/0142331221995336.

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Designing observer-controller structures for nonlinear system with unknown dynamics such as robotic systems is among popular research fields in control engineering. The novelty of this paper is in presenting an observer-based model-free controller for robot manipulators using reinforcement learning (RL). The proposed controller calculates the desired motor voltages that fulfil a satisfactory tracking performance. Moreover, the uncertainties and nonlinearities in the observer model and RL controller are estimated and compensated for by using the Fourier series expansion. Simulation results and
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Mudhivarthi, Bhavesh Raju, and Prabhat Thakur. "Integration of artificial intelligence in robotic vehicles: A bibliometric analysis." Paladyn, Journal of Behavioral Robotics 13, no. 1 (2022): 110–20. http://dx.doi.org/10.1515/pjbr-2022-0102.

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Abstract Robots are rapidly growing technologies in simple words. Robots are artificial living things in this world that are created by humans for reducing human involvement in the top domains such as agriculture, medicine, and industries. Based on the requirements of work, robots are classified into six major categories. Robotic vehicles come under the division of autonomous mobile robots and automated guided vehicles. These vehicles are more popular in factories for supporting humans. Integration of artificial intelligence (AI) in a robotic vehicle gives the brain to the vehicle that can sen
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Praveen, Kumar Donepudi, Al Ayub Ahmed Alim, Alam Hossain Monirul, and Maria Pitukhina. "Perceptions of RAIA Introduction by Employees on Employability and Work Satisfaction in the Modern Agriculture Sector." International Journal of Modern Agriculture 9, no. 4 (2020): 486–97. https://doi.org/10.5281/zenodo.4428205.

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Do technology cause agriculture losses? Do technology cause agricultural job losses? Though it is a popular belief, it does, not all agriculture leader considers it this way. The opinion that the traditional approach to agriculture jobs will be eliminated for contemporary ones’ consequence on the arrival of artificial intelligence, robotics, and internet of things, automation, and technology differs from sector to sector. The computer is becoming smarter, creative, and sophisticated hence; making previous roles out of model or fashion. These desires have made agricultural workplaces deve
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Foster, Mary Ellen. "Natural language generation for social robotics: opportunities and challenges." Philosophical Transactions of the Royal Society B: Biological Sciences 374, no. 1771 (2019): 20180027. http://dx.doi.org/10.1098/rstb.2018.0027.

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In the increasingly popular and diverse research area of social robotics, the primary goal is to develop robot agents that exhibit socially intelligent behaviour while interacting in a face-to-face context with human partners. An important aspect of face-to-face social conversation is fluent, flexible linguistic interaction; face-to-face dialogue is both the basic form of human communication and the richest and most flexible, combining unrestricted verbal expression with meaningful non-verbal acts such as gestures and facial displays, along with instantaneous, continuous collaboration between
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Dalef, Huda Hatam, Faieza Abdul Aziz, Wan Zuha Wan Hasan, and Mohd Khairol Anuar Mohd Ariffin. "Controlling of Robot Hand by Using Microcontroller with Visual Basic." Journal of Computational and Theoretical Nanoscience 15, no. 2 (2018): 648–55. http://dx.doi.org/10.1166/jctn.2018.7139.

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The robot arm is the most popular robotic form used in industry. Thus, it is crucial to make a system programming which could controlled the movement of each part in the industrial robot to make it works properly. One of the simplest models of the robot arm is EDARM ED-7100 which has a controller to control the movement of the robot arm manually. In this study, the robot controller has been redesigned in order to improve this robot's function. The new controller system used AT89S52 microcontroller which has wire connected to the robot hand. A function has been added with this controller to imp
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Huang, Wei Fu, and Chi Liu Shen. "Control Language for Public - An Example Based on 328eforth." Applied Mechanics and Materials 418 (September 2013): 116–19. http://dx.doi.org/10.4028/www.scientific.net/amm.418.116.

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Although robot has been around for many years, the programming language for robot control is still hard for ordinary persons. To promote robot into live of ordinary persons, an easier control language is one of necessity. We need a control language that can be programmed in any words and not limited to English. Forth is one of computer language that can define new commands in any printable characters on keyboard. This study explored eforth, one of kind of Forth, build on ATMEGA328P chip which is used on the world wide popular Ardunino UNO board is called 328eForth system. A 328eForth system ha
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Rifat, Tashnuva, Md Shahadat Hossain, Md Mahbubul Alam, and Abu Shara Shamsur Rouf. "A Review on Applications of Nanobots in Combating Complex Diseases." Bangladesh Pharmaceutical Journal 22, no. 1 (2019): 99–108. http://dx.doi.org/10.3329/bpj.v22i1.40081.

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In the current years, a lot of research works have been continued in the quest to find a desired drug delivery system within the human body. Among different drug delivery systems, nanobots have become much popular due to its capability to perform different tasks like actuating, sensing, signaling, information processing and intelligence at nanoscale dimension. A nanobot is a robotic machine that can be programmed to diagnose, monitor and treat various vital diseases. It works at cellular level with minimum side effects and thus substitute the conventional treatment procedures. The major limita
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Kowsher, Md, Md Jashim Uddin, Anik Tahabilder, et al. "BnVec: Towards the Development of Word Embedding for Bangla Language Processing." International Journal of Engineering & Technology 10, no. 2 (2021): 95. http://dx.doi.org/10.14419/ijet.v10i2.31538.

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Progression in machine learning and statistical inference are facilitating the advancement of domains like computer vision, natural language processing (NLP), automation & robotics, and so on. Among the different persuasive improvements in NLP, word embedding is one of the most used and revolutionary techniques. In this paper, we manifest an open-source library for Bangla word extraction systems named BnVec which expects to furnish the Bangla NLP research community by the utilization of some incredible word embedding techniques. The BnVec is splitted up into two parts, the first one is the
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Ušinskis, Vygantas, Michał Nowicki, Andrius Dzedzickis, and Vytautas Bučinskas. "Sensor-Fusion Based Navigation for Autonomous Mobile Robot." Sensors 25, no. 4 (2025): 1248. https://doi.org/10.3390/s25041248.

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Navigation systems are developing rapidly; nevertheless, tasks are becoming more complex, significantly increasing the number of challenges for robotic systems. Navigation can be separated into global and local navigation. While global navigation works according to predefined data about the environment, local navigation uses sensory data to dynamically react and adjust the trajectory. Tasks are becoming more complex with the addition of dynamic obstacles, multiple robots, or, in some cases, inspection of places that are not physically reachable by humans. Cognitive tasks require not only detec
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Ramani, Keval S., Molong Duan, Deokkyun Yoon, Chinedum E. Okwudire, and A. Galip Ulsoy. "Boosting Speed and Accuracy in Precision Motion Control." Mechanical Engineering 140, no. 09 (2018): S17—S23. http://dx.doi.org/10.1115/1.2018-sep7.

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Feedforward (FF) control uses a priori knowledge about a given system and its disturbances to influence the system’s behavior in a pre-defined way. However, unlike feedback (FB) control, it does not adjust the control signal (or manipulated variable) in response to how the system actually reacts. In other words, FF control is proactive while FB control is reactive. Model-inversion-based FF (MIBFF) control is a specific type of FF control where the control variable is determined by inverting a model of the system to be controlled. It is very popular for its use in output tracking control proble
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Maltseva, I. F., and E. S. Sazonova. "The impact of artificial intelligence on economic development: ethical aspects of technology implementation and development." Proceedings of the Southwest State University. Series: Economics. Sociology. Management 14, no. 5 (2024): 60–73. https://doi.org/10.21869/2223-1552-2024-14-5-60-73.

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Relevance. Digitalization is one of the main priorities of the economy. Machine learning and artificial intelligence technologies are introduced by advanced companies into production and management processes, and change the nature of their activities and the way they do business. New issues related to the legislative regulation of technologies, the distribution of areas of responsibility between humans and robotic systems arise, and legal relations that are not provided for by the regulatory framework appear. Technological development also leads to a profound transformation of society. New mec
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Miyake, Naomi, Fumi Seto, Makoto Mizukawa, Shinya Kotosaka, and Tomomasa Sato. "Special Issue on Education of Robotics & Mechatronics “Focusing on the Learning Process and Producing an Education Literature”." Journal of Robotics and Mechatronics 23, no. 5 (2011): 607–10. http://dx.doi.org/10.20965/jrm.2011.p0607.

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The world of robotics has long been trying to teach the essence of engineering by using robots as a subject. A process of robot production and operation is said to have the total essence of engineering education, and the actual manufacturing of robots has certainly been motivational for students. For this reason, robotics researchers and those in educational institutions such as universities and technical colleges in particular have worked hard on robot education. However, researchers have been faced with a dilemma: a report of educational activities, however, has not been regarded as a resear
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Rana, S. V. S. "Contribution of Toxicology in Sustainable Development." Journal of Environmental Biology 43, no. 1 (2022): iii—iv. http://dx.doi.org/10.22438/jeb/43/1/editorial.

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The concept of sustainable development attained prominence after the World Summit on Sustainable Development (WSSD) held at Johannesburg in September, 2002. Earlier, the World Commission on Environment and Development (WCED), also known as Brundtland Commission Report (1987), named after its chairperson Gro Harlem Brundtland of Norway, had warned the global community on unwise use of natural resources for economic development. It defined sustainable development, “ the development that meets the need of present without compromising the ability of future generations to meet their own needs.” The
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Abdualiyev, Elerbek Begalievich Tashkent State University of Transport doctoral student. Mirkhanova Mavzhuda Mikhailovna Tashkent State University of Transport senior lecturer. Umaraliev Shokhzhakhon Mukhammadruzi ugli Tashkent State University of Transport Assistant. Embergenov Avezmurat Bekmuratovich Tashkent State University of Transport Assistant. "CORRECT COMPILATION OF GEODETIC SURVEYS FOR THE CONSTRUCTION OF THE RAILWAY." Innovative technologies in construction Scientific Journal (ITC) 2, no. 2 (2023): 23–27. https://doi.org/10.5281/zenodo.8381004.

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<strong>CORRECT COMPILATION OF GEODETIC SURVEYS FOR THE CONSTRUCTION OF THE RAILWAY</strong> <strong>Abdualiyev Elerbek Begalievich</strong> Tashkent State University of Transport, doctoral student. <strong>Mirkhanova Mavzhuda Mikhailovna</strong> Tashkent State University of Transport, senior lecturer. <strong>Umaraliev Shokhzhakhon Mukhammadruzi ugli </strong>Tashkent State University of Transport, Assistant. <strong>Embergenov Avezmurat Bekmuratovich </strong>Tashkent State University of Transport, Assistant. <strong>Abstract:</strong> This article forms the composition of engineering and g
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Luntovskyy, Andriy. "MODERN APPS AND PLATFORMS FOR THE ROBOTS." Visnyk Universytetu “Ukraina”, 2019. http://dx.doi.org/10.36994/2707-4110-2019-1-22-02.

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Nowadays, the number of robots that co-operate with the humans, machines and with each other in various fields of manufacturing and economics, everyday life, entertainment industry, social pedagogy is growing rapidly.Server-free mobile additions are widely used in robotics: applications that are built directly into the actuators and mechanisms; Cloud-oriented applications and others.As a result of the shifted emphasis on performance, energy and algorithms efficiency of addition and platforms for robotics in the future will develop with optimization of the following algorithms: unlimited moveme
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Luo, Kan, Hongshan Yu, Xieyuanli Chen, et al. "3D point cloud-based place recognition: a survey." Artificial Intelligence Review 57, no. 4 (2024). http://dx.doi.org/10.1007/s10462-024-10713-6.

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AbstractPlace recognition is a fundamental topic in computer vision and robotics. It plays a crucial role in simultaneous localization and mapping (SLAM) systems to retrieve scenes from maps and identify previously visited places to correct cumulative errors. Place recognition has long been performed with images, and multiple survey papers exist that analyze image-based methods. Recently, 3D point cloud-based place recognition (3D-PCPR) has become popular due to the widespread use of LiDAR scanners in autonomous driving research. However, there is a lack of survey paper that discusses 3D-PCPR
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Susan, Seba, and Maduri Tuteja. "Feature Engineering Versus Deep Learning for Scene Recognition: A Brief Survey." International Journal of Image and Graphics, April 9, 2024. http://dx.doi.org/10.1142/s0219467825500548.

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Scene recognition is an important computer vision task that has evolved from the study of the biological visual system. Its applications range from video surveillance, autopilot systems, to robotics. The early works were based on feature engineering that involved the computation and aggregation of global and local image descriptors. Several popular image features such as SIFT, SURF, HOG, ORB, LBP, KAZE, etc. have been proposed and applied to the task with successful results. Features can be either computed from the entire image on a global scale, or extracted from local sub-regions and aggrega
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Rigatos, G., M. Abbaszadeh, and J. Pomares. "Nonlinear optimal control for the 4-DOF underactuated robotic tower crane." Autonomous Intelligent Systems 2, no. 1 (2022). http://dx.doi.org/10.1007/s43684-022-00040-4.

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AbstractTower cranes find wide use in construction works, in ports and in several loading and unloading procedures met in industry. A nonlinear optimal control approach is proposed for the dynamic model of the 4-DOF underactuated tower crane. The dynamic model of the robotic crane undergoes approximate linearization around a temporary operating point that is recomputed at each time-step of the control method. The linearization relies on Taylor series expansion and on the associated Jacobian matrices. For the linearized state-space model of the system a stabilizing optimal (H-infinity) feedback
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Prof. Govekar Navnath Sopan, Udaydeep Kumar, Padalkar Tushar, Shelke Vikas, and Kudale Pratik. "Design of Pick and Place Robot." International Journal of Advanced Research in Science, Communication and Technology, May 20, 2022, 80–88. http://dx.doi.org/10.48175/ijarsct-3886.

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The popular concept of a robot is of a machine that looks and works like a human being. The industry is moving from current state of automation to Robotization, to increase productivity and to deliver uniform quality. The industrial robots of today may not look the least bit like a human being although all the research is directed to provide more and more anthropomorphic and humanlike features and super-human capabilities in these. One type of robot commonly used in industry is a robotic manipulator or simply a robotic arm. It is an open or closed kinematic chain of rigid links interconnected
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S, Julius Fusic, and Sugumari T. "A review of perception-based navigation system for autonomous mobile robots." Recent Patents on Engineering 17 (September 29, 2022). http://dx.doi.org/10.2174/1872212117666220929142031.

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Abstract: Perception-based navigation systems have become more popular in robotic applications such as autonomous moving vehicles in hospitals, logistics, packing and forwarding, mines, military, defense, consumer robots, building surveillance, rescuing and carrying a child or physically challenged people, and so on, due to the need, advanced development, and large influence. To improve positioning, localization, and path planning on obstacle-free trajectories, several navigation designs have been developed. In this study, we attempt to analyze various navigation methods and technologies appli
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Ahmad, Mohd Ridzuan, Shamsudin H. M. Amin, and Rosbi Mamat. "Development of Reactive Control Strategy for Multi-Agent Mobile Robotics System." Jurnal Teknologi, January 20, 2012. http://dx.doi.org/10.11113/jt.v35.613.

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Multi–agent system is one the most popular research interests in robotics nowadays. Imagine for a swarm of robots, what kind of intelligence can we build now? This question arises from emulating biological systems. How is it that colonies of small ants can work together to perform a difficult task that single ant cannot do it alone? How might collections of simple robots aid us in human endeavours? By examining these questions, one of the common characteristics shared by each agent is in agent simplicity. Simplicity in control means that the robots are provided with direct commands in order to
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Komendziński, Tomasz, Emilia Mikołajewska, Dariusz Mikołajewski, Joanna Dreszer, and Bibianna Bałaj. "Cognitive robots in the development and rehabilitation of children with developmental disorders." Bio-Algorithms and Med-Systems 12, no. 3 (2016). http://dx.doi.org/10.1515/bams-2016-0010.

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AbstractCognitive robots constitute a highly interdisciplinary approach to the issue of therapy of children with developmental disorders. Cognitive robots become more popular, especially in action and language integration areas, joining the experience of psychologists, neuroscientists, philosophers, and even engineers. The concept of a robot as a cognitive companion for humans may be very useful. The interaction between humans and cognitive robots may be a mediator of movement patterns, learning behaviors from demonstrations, group activities, and social behaviors, as far as higher-order conce
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Stroiko, Tetiana, Oleksander Bulavchenko, and Alina Yeremeieva. "STRATEGIC ASPECTS OF LABOR MARKET FORMATION AS A DRIVER OF THE COMPETITIVENESS OF THE UKRAINIAN ECONOMY." Black Sea Economic Studies, no. 62 (2021). http://dx.doi.org/10.32843/bses.62-9.

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The article considers the strategic aspects of the formation of the labor market as a driver of competitiveness of the Ukrainian economy. The situation on the labor market is also analyzed, namely: indicators of economically active population, including age groups in the period 2015 - 2019, unemployment rate and population outflow in the territorial - sectoral context in the period 2019 - 2020. The author investigated The main indicator that is characteristic of the labor market is the level of employment of the population by age groups on average to the corresponding group. The situation on t
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Bonner, Frances. "This may Look like Science Fiction, But..." M/C Journal 2, no. 1 (1999). http://dx.doi.org/10.5204/mcj.1736.

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The borderline between fiction and non-fiction is, like much that is liminal, deeply attractive to observers, and among the consequences of this is a proliferation of names; 'faction', 'fictocriticism' and the shifting pairing of docudrama/dramadoc operate to indicate the blending of different types of fictional and non-fictional material. All of these produce that feeling of unease proper to liminal states. In his recent study, Derek Paget notes how it is the seriousness of the truth claims of that version of non-fiction called documentary that makes its mixing with drama so fraught with pote
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Caudwell, Catherine Barbara. "Cute and Monstrous Furbys in Online Fan Production." M/C Journal 17, no. 2 (2014). http://dx.doi.org/10.5204/mcj.787.

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Image 1: Hasbro/Tiger Electronics 1998 Furby. (Photo credit: Author) Introduction Since the mid-1990s robotic and digital creatures designed to offer social interaction and companionship have been developed for commercial and research interests. Integral to encouraging positive experiences with these creatures has been the use of cute aesthetics that aim to endear companions to their human users. During this time there has also been a growth in online communities that engage in cultural production through fan fiction responses to existing cultural artefacts, including the widely recognised ele
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Otsuki, Grant Jun. "Augmenting Japan’s Bodies and Futures: The Politics of Human-Technology Encounters in Japanese Idol Pop." M/C Journal 16, no. 6 (2013). http://dx.doi.org/10.5204/mcj.738.

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Perfume is a Japanese “techno-pop” idol trio formed in 2000 consisting of three women–Ayano Omoto, Yuka Kashino, and Ayaka Nishiwaki. Since 2007, when one of their songs was selected for a recycling awareness campaign by Japan's national public broadcaster, Perfume has been a consistent fixture in the Japanese pop music charts. They have been involved in the full gamut of typical idol activities, from television and radio shows to commercials for clothing brands, candy, and drinks. Their success reflects Japanese pop culture's long-standing obsession with pop idols, who once breaking into the
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Coghlan, Jo, Lisa J. Hackett, and Huw Nolan. "Barbie." M/C Journal 27, no. 3 (2024). http://dx.doi.org/10.5204/mcj.3072.

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The story of Barbie is a tapestry woven with threads of cultural significance, societal shifts, and corporate narratives. It’s a tale that encapsulates the evolution of American post-war capitalism, mirroring the changing tides of social norms, aspirations, and identities. Barbie’s journey from Germany to Los Angeles, along the way becoming a global icon, is a testament to the power of Ruth Handler’s vision and Barbie’s marketing. Barbie embodies and reflects the rise of mass consumption and the early days of television advertising, where one doll could become a household name and shape the dr
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Indumathy, R. "NATURE INSPIRED ALGORITHMS TO SOLVE DNA FRAGMENT ASSEMBLY PROBLEM: A SURVEY." June 29, 2012. https://doi.org/10.5121/ijbb.2012.2205.

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International Journal on Bioinformatics &amp; Biosciences (IJBB) Vol.2, No.2, June 2012 DOI : 10.5121/ijbb.2012.2205 45 NATURE INSPIRED ALGORITHMS TO SOLVE DNA FRAGMENT ASSEMBLY PROBLEM: A SURVEY Indumathy R 1 and Uma Maheswari S 2 1Research Scholar, 2Associate Professor Department of Electronics and Communication Engineering, Coimbatore Institute of Technology, Tamilnadu, India 1indumathy.rajagopal@gmail.com 2umamaheswari.cit@gmail.com ABSTRACT Evolutionary search algorithms are becoming an essential advantage in the algorithmic toolbox for solving multi-dimensional optimization problems in a
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