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Journal articles on the topic 'Dictionary robots'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2025

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1

Taniguchi, Tadahiro, Naoto Iwahashi, Komei Sugiura, and Tetsuo Sawaragi. "Constructive Approach to Role-Reversal Imitation Through Unsegmented Interactions." Journal of Robotics and Mechatronics 20, no. 4 (2008): 567–77. http://dx.doi.org/10.20965/jrm.2008.p0567.

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This paper presents a novel method of a robot learning through imitation to acquire a user’s key motions automatically. The learning architecture mainly consists of three learning modules: a switching autoregressive model (SARM), a keyword extractor without a dictionary, and a keyword selection filter that references to the tutor’s reactions. Most previous research on imitation learning by autonomous robots targeted motions given to robots, were segmented into meaningful parts by the users or researchers in advance. To imitate certain behavior from continuous human motion, however, robots must
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Ono, Jumpei, Miku Kawai, and Takashi Ogata. "Toward love and sex narrative generation using a noun conceptual dictionary." Journal of Future Robot Life 3, no. 1 (2022): 17–37. http://dx.doi.org/10.3233/frl-210005.

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At “The International Congress on Love & Sex with Robots,” love and sex issues related to robots have been discussed. This discussion of robots has applications in nursing care and other. Love and sex are also important themes for narratives. We develop a system to generate stories, and consider a robot that tells stories as one of the applications of story generation. The purpose is to present a prototyping system that generates a new narrative expression based on the theme of “love and sex” by exchanging the concept of character in the input narrative expression with a new concept using
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Sun, Wei. "The research and implementation feasibility analysis of an intelligent robot for simulating navigational English dialogue under the background of artificial intelligence." Computer Science and Information Systems, no. 00 (2022): 22. http://dx.doi.org/10.2298/csis210820022s.

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The rapid development of artificial intelligence and robots, the research and development of intelligent dialogue robots are very necessary for today's society. However, a robotic algorithm system that simulates navigational English conversation has not yet been developed. In order to find a suitable algorithm system for dialogue robots, this paper uses the test data set to test the analytical model of navigational English dialogue instructions. The experimental results show that the conditional random field (CRF) + domain dictionary + ambiguity resolution method has the highest segmentation e
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Birch, B., CA Griffiths, and A. Morgan. "Environmental effects on reliability and accuracy of MFCC based voice recognition for industrial human-robot-interaction." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 235, no. 12 (2021): 1939–48. http://dx.doi.org/10.1177/09544054211014492.

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Collaborative robots are becoming increasingly important for advanced manufacturing processes. The purpose of this paper is to determine the capability of a novel Human-Robot-interface to be used for machine hole drilling. Using a developed voice activation system, environmental factors on speech recognition accuracy are considered. The research investigates the accuracy of a Mel Frequency Cepstral Coefficients-based feature extraction algorithm which uses Dynamic Time Warping to compare an utterance to a limited, user-dependent dictionary. The developed Speech Recognition method allows for Hu
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Yu, Jia. "What Is the Boundary Between Human and Nonhuman-A Discussion Based on Techno-Animistic Perspective." Communications in Humanities Research 72, no. 1 (2025): 173–80. https://doi.org/10.54254/2753-7064/2025.lc25151.

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This dissertation explores how human perceptions of robots are shaped by culturally embedded imaginaries, ontological frameworks, and animistic thinking, with a particular focus on Japanese society. Drawing from an encounter with Sonys AIBO robotic dog at the Barbican Centre in 2019, the study begins with a phenomenological reflection on the uncanny emotional connection evoked by the machines dog-like behaviours. This initial experience prompts a deeper inquiry into the ways humans assign symbolic and affective meaning to robotic forms, beyond their technical functions.The research adopts a cr
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Ye, Minying, and Kanji Tanaka. "Visual Place Recognition of Robots via Global Features of Scan-Context Descriptors with Dictionary-Based Coding." Applied Sciences 13, no. 15 (2023): 9040. http://dx.doi.org/10.3390/app13159040.

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Self-localization is a crucial requirement for visual robot place recognition. Particularly, the 3D point cloud obtained from 3D laser rangefinders (LRF) is applied to it. The critical part is the efficiency and accuracy of place recognition of visual robots based on the 3D point cloud. The current solution is converting the 3D point clouds to 2D images, and then processing these with a convolutional neural network (CNN) classification. Although the popular scan-context descriptor obtained from the 3D data can retain parts of the 3D point cloud characteristics, its accuracy is slightly low. Th
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Wülker, Christian, Sipu Ruan, and Gregory S. Chirikjian. "Quantizing Euclidean Motions via Double-Coset Decomposition." Research 2019 (September 15, 2019): 1–16. http://dx.doi.org/10.34133/2019/1608396.

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Concepts from mathematical crystallography and group theory are used here to quantize the group of rigid-body motions, resulting in a “motion alphabet” with which robot motion primitives are expressed. From these primitives it is possible to develop a dictionary of physical actions. Equipped with an alphabet of the sort developed here, intelligent actions of robots in the world can be approximated with finite sequences of characters, thereby forming the foundation of a language in which robot motion is articulated. In particular, we use the discrete handedness-preserving symmetries of macromol
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Liu, Zhiqiang, Jianqin Yin, Jinping Li, Jun Wei, and Zhiquan Feng. "A new action recognition method by distinguishing ambiguous postures." International Journal of Advanced Robotic Systems 15, no. 1 (2018): 172988141774948. http://dx.doi.org/10.1177/1729881417749482.

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One of the most important aspects of promoting the intelligence of home service robots is to reliably recognize human actions and accurately understand human behaviors and intentions. In the task of action recognition, there are many common ambiguous postures, which affect the recognition accuracy. To improve the reliability of the service provided by home service robots, this article presents a method of probabilistic soft-assignment recognition scheme based on Gaussian mixture models to recognize similar actions. First, we generate a representative posture dictionary based on the standard ba
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Minaev, E. Y. "An investigation of machine learning method based on fractal compression." Information Technology and Nanotechnology, no. 2416 (2019): 204–8. http://dx.doi.org/10.18287/1613-0073-2019-2416-204-208.

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In this article the method of machine learning with cyclic fractal coding and the use of domain block dictionary, adapted for use on mobile platforms, with optimization of performance and volume of stored fractal images is investigated. The main idea of the method is to use the fractal compression method based on iterated function systems to reduce the dimension of the original images, and to use cyclic fractal coding to represent the class of images. As a result of research of the method it was found that the share of correctly recognized objects on MSTAR averages 0.892, the recognition time
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Giachos, Ioannis, Eleni Batzaki, Evangelos C. Papakitsos, Stavros Kaminaris, and Nikolaos Laskaris. "A Natural Language Generation Algorithm for Greek by Using Hole Semantics and a Systemic Grammatical Formalism." Journal of Computer Science Research 5, no. 4 (2023): 27–37. http://dx.doi.org/10.30564/jcsr.v5i4.6067.

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This work is about the progress of previous related work based on an experiment to improve the intelligence of robotic systems, with the aim of achieving more linguistic communication capabilities between humans and robots. In this paper, the authors attempt an algorithmic approach to natural language generation through hole semantics and by applying the OMAS-III computational model as a grammatical formalism. In the original work, a technical language is used, while in the later works, this has been replaced by a limited Greek natural language dictionary. This particular effort was made to gi
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Deev, M. V. "The architecture of the system of intelligent analysis of competencies for updating university educational programs." Informatics and education 39, no. 3 (2024): 29–43. http://dx.doi.org/10.32517/0234-0453-2024-39-3-29-43.

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The problem of updating educational programs and educational content is closely related to the need to adapt them to the changing conditions of regional labor markets. The solution to the problem is achieved through the collection and analysis of data on the competence requirements of employers for the qualifications of specialists (the data itself can be extracted from job advertisements on open resources on the Internet). The article presents a method of using search robots and text data processing modules to obtain formalized descriptions of competence requirements and compare them by degre
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Poonam, Yadav1 and Sujata2. "Security Issues in Cloud Computing Solution of DDOS and Introducing Two-Tier CAPTCHA." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 3, June (2018): 01–16. https://doi.org/10.5281/zenodo.1434181.

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Cloud computing is simply a metaphor for the internet. User does not required knowledge, control, and ownership in the computer infrastructure. User simply access or rent the software and paying only for what they use. Advantage of cloud computing is huge like Broad network access, Cost effectiveness, Rapid elasticity, Measured services, On-Demand service, Resource pooling, Location independence, Reliability, Energy saving and so on. But its global phenomenon that everything in this world has advantage as well as disadvantage, cloud computing also suffering from some drawback like security &am
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Goulding, C. "Robot: Antedating the Entry in The Oxford English Dictionary." Notes and Queries 52, no. 3 (2005): 380–81. http://dx.doi.org/10.1093/notesj/gji335.

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Imre J. Rudas*and Leon Zlajpah**. "Selected Papers INES2000." Journal of Advanced Computational Intelligence and Intelligent Informatics 5, no. 5 (2001): 247. http://dx.doi.org/10.20965/jaciii.2001.p0247.

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In engineering practice we often have to deal with complex systems, where the conventional approaches for understanding and predicting the behavior of the system can prove to be inadequate. Hence, the researchers try to put some intelligence into the system. The term intelligence in this context still more or less remains a mysterious phenomenon and can be characterized by different abilities of the system or machine, such as adaptation, decision-making, learning, recognition, diagnostics, autonomy, etc. Many of the new results related to this area are published in Journals and in Internationa
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Izutsu, Yuta, Hiroharu Kawanaka, Koji Yamamoto, Kiyoshi Suzuki, Haruhiko Takase, and Shinji Tsuruoka. "A Study on Conversational Content Recognition Method Using JapaneseWordNet for Robot-Assisted Therapies." Journal of Advanced Computational Intelligence and Intelligent Informatics 16, no. 1 (2012): 62–68. http://dx.doi.org/10.20965/jaciii.2012.p0062.

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This paper proposes a conversational content recognition method for robot-assisted therapies. In the proposed method, nouns in the conversation are first extracted by morphological analysis techniques. As the next step, the dominant conception of them, which is called “synset” in this paper, are obtained by using a concept dictionary. And finally the conversational topic is determined considering the number and kinds of obtained synsets. In this paper, Japanese Word-Net was employed as concept dictionary, and evaluation experiments using daily conversation voice data recorded in the welfare fa
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Uršič, Peter, Aleš Leonardis, Danijel Skočaj, and Matej Kristan. "Learning part-based spatial models for laser-vision-based room categorization." International Journal of Robotics Research 36, no. 4 (2017): 379–402. http://dx.doi.org/10.1177/0278364917704707.

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Room categorization, that is, recognizing the functionality of a never before seen room, is a crucial capability for a household mobile robot. We present a new approach for room categorization that is based on two-dimensional laser range data. The method is based on a novel spatial model consisting of mid-level parts that are built on top of a low-level part-based representation. The approach is then fused with a vision-based method for room categorization, which is also based on a spatial model consisting of mid-level visual parts. In addition, we propose a new discriminative dictionary learn
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17

Merin, J. Brindha, Dr W. Aisha Banu, and K. Fahima Sanobar Shalin. "Semantic Annotation Based Effective and Quality Oriented Web Service Discovery." Journal of Internet Services and Information Security 13, no. 2 (2023): 96–116. http://dx.doi.org/10.58346/jisis.2023.i2.006.

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The main objective of this work is to design an effective web service discovery engine that retrieves the best matching results based on the measure of syntactic cum semantic similarity between the user query and the web service to be fetched. The idea is to draw bridges across the broad spectrum of lexical entities based on their relativeness. The essence of this work could be extended to support a wide range of applications from ‘being inculcated in search engines to fetch user-relevant data’ to ‘being used for training robots and AI based devices to respond/adhere appropriately to the diffe
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18

Szabóová, Martina, Martin Sarnovský, Viera Maslej Krešňáková, and Kristína Machová. "Emotion Analysis in Human–Robot Interaction." Electronics 9, no. 11 (2020): 1761. http://dx.doi.org/10.3390/electronics9111761.

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This paper connects two large research areas, namely sentiment analysis and human–robot interaction. Emotion analysis, as a subfield of sentiment analysis, explores text data and, based on the characteristics of the text and generally known emotional models, evaluates what emotion is presented in it. The analysis of emotions in the human–robot interaction aims to evaluate the emotional state of the human being and on this basis to decide how the robot should adapt its behavior to the human being. There are several approaches and algorithms to detect emotions in the text data. We decided to app
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19

Giachos, Ioannis, Evangelos C. Papakitsos, Petros Savvidis, and Nikolaos Laskaris. "Inquiring Natural Language Processing Capabilities on Robotic Systems through Virtual Assistants: A Systemic Approach." Journal of Computer Science Research 5, no. 2 (2023): 28–36. http://dx.doi.org/10.30564/jcsr.v5i2.5537.

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This paper attempts to approach the interface of a robot from the perspective of virtual assistants. Virtual assistants can also be characterized as the mind of a robot, since they manage communication and action with the rest of the world they exist in. Therefore, virtual assistants can also be described as the brain of a robot and they include a Natural Language Processing (NLP) module for conducting communication in their human-robot interface. This work is focused on inquiring and enhancing the capabilities of this module. The problem is that nothing much is revealed about the nature of th
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Zaitseva, A. S. "Modern Professional Language of Robotics (Terminological Family “Robot”)." Nauchnyi dialog, no. 5 (May 28, 2021): 96–114. http://dx.doi.org/10.24224/2227-1295-2021-5-96-114.

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The article is devoted to the study of the terminological family with the base term “robot”. The issues concerning the structure of the terminological family, its basic lexical units, the most productive models of term formation and most frequent grammatical forms of terms are considered. Particular emphasis is placed on the specifics of the terminological family. The characteristic features of terminological elements used in the formation of new terms are defined. It is emphasised that the emergence of terminological combinations is a common way of forming new special words. In the course of
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Wei, Jiaqi, Huaping Liu, Bowen Wang, and Fuchun Sun. "Lifelong learning for tactile emotion recognition." Interaction Studies 20, no. 1 (2019): 25–41. http://dx.doi.org/10.1075/is.18041.wei.

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Abstract Tactile emotion recognition provides a lot of valuable information in human-computer interaction, and it has strong application prospects in many aspects such as smart home and medical treatment. So this situation raises a question: How to quickly and efficiently let the robot perform the correct emotion recognition? In this work, we develop a lifelong learning algorithm which is based on the efficient dictionary learning technology, to tackle the tactile emotion recognition across different tasks. To verify the efficiency of the proposed method, we applied it to two data sets for exp
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Nagasaka, Tomomi, Kanji Tanaka, and Hiroki Hashimoto. "1P1-L12 Dictionary-based Map Compression Using Modified RANSAC Map Matching(Vision System for Mobile Robot)." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2011 (2011): _1P1—L12_1—_1P1—L12_4. http://dx.doi.org/10.1299/jsmermd.2011._1p1-l12_1.

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23

Esrom, J. A. "Dictionary of Robot Technology by E. Bürger and G. Korzak, Elsevier, Amsterdam, 272 pp., 1986 ($64.75)." Robotica 5, no. 4 (1987): 349. http://dx.doi.org/10.1017/s0263574700016519.

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Aswad, Fadwa El, Gilde Vanel Tchane Djogdom, Martin J. D. Otis, Johannes C. Ayena, and Ramy Meziane. "Image Generation for 2D-CNN Using Time-Series Signal Features from Foot Gesture Applied to Select Cobot Operating Mode." Sensors 21, no. 17 (2021): 5743. http://dx.doi.org/10.3390/s21175743.

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Advances in robotics are part of reducing the burden associated with manufacturing tasks in workers. For example, the cobot could be used as a “third-arm” during the assembling task. Thus, the necessity of designing new intuitive control modalities arises. This paper presents a foot gesture approach centered on robot control constraints to switch between four operating modalities. This control scheme is based on raw data acquired by an instrumented insole located at a human’s foot. It is composed of an inertial measurement unit (IMU) and four force sensors. Firstly, a gesture dictionary was pr
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Salvador, Sanchez-Melgar. "THE LANGUAGE OF ARTIFICIAL INTELLIGENCE AND THE MATHEMATICS OF LETTERS." INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH 11, no. 04 (2023): 3339–50. https://doi.org/10.5281/zenodo.7845266.

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Presentation of a mathematics of letters and a language of letters that will allow an artificial intelligence to learn endlessly and be able to think as we think. With the numbered letters, the information that an artificial intelligence obtains with its artificial senses will not lose its meaning, since through these numbered letters the information can be transformed into numbered words. In this way, each piece of information that an artificial intelligence obtains can be transformed into binary numbers, then into ordinary numbers of the numbered letters, thus being able to form numbered wor
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Jiang, Yu, and Shoulin Yin. "Heterogenous-view occluded expression data recognition based on cycle-consistent adversarial network and K-SVD dictionary learning under intelligent cooperative robot environment." Computer Science and Information Systems, no. 00 (2023): 34. http://dx.doi.org/10.2298/csis221228034j.

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In space art design, the recognition of expression is of great help to the understanding of art. It is very difficult to obtain occlusion expression data from robot environment. In particular, it is very challenging to recognize the occluded expression. In the case of facial occlusion, it is difficult to extract the features of occluded expressions by traditional methods. In order to reduce the dependence of expression recognition on individuals, this paper proposes a cycle-consistent adversarial network and K-SVD dictionary learning method for occluded expression recognition in education mana
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Mattiello, Elisa. "The Development of ESP Lexicon Through New Combining Forms." International Journal of English Linguistics 13, no. 7 (2023): 5. http://dx.doi.org/10.5539/ijel.v13n7p5.

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This paper investigates the role of new combining forms in the formation of neologisms which are currently expanding the lexicon of English for Special Purposes (ESP). In the past, only neoclassical combining forms, such as initial bio- or final -logy (in biology), were productively used in ESP. Nowadays, specialized combining forms also include abbreviated forms of existing words (e.g., cyber- from cybernetic in cyber-attack), as well as secreted (i.e. reinterpreted) forms (e.g., -bot from robot denoting ‘a type of automated program or software’ in knowbot). The paper expl
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Skraparlis, Athanasios, Klimis Ntalianis, Dimitris Kouremenos, and Nikolaos Mastorakis. "An Innovative Security Screening Architecture for Detecting Illicit Goods and Threats." International Journal of Mathematics and Computers in Simulation 15 (December 6, 2021): 153–60. http://dx.doi.org/10.46300/9102.2021.15.28.

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Every year, millions of letters/parcels containing illicit goods are detected by customs authorities, which use traditional security screening equipment. However this equipment cannot detect all kinds of illicit goods and the detection procedure heavily depends on the attention of the customs officer. In order to achieve sufficiently fast intelligent screening of the large volumes of letters/parcels and detect all common kinds of threats, this paper proposes a highly innovative architecture well-beyond the state-of–art. In particular the proposed architecture monitors every letter/parcel by in
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Жовтяк, В. А. "ЕТИМОЛОГІЧНИЙ АНАЛІЗ АНГЛОМОВНИХ ТЕРМІНІВ КІБЕРБЕЗПЕКИ У КІНОДИСКУРСІ". Nova fìlologìâ, № 98 (1 липня 2025): 70–77. https://doi.org/10.26661/2414-1135-2025-98-9.

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Статтю присвячено проведенню етимологічного аналізу англомовної термінології кібербезпеки, репрезентованої у сучасному англомовному кінодискурсі на матеріалі скриптів культового американського телесеріалу Mr. Robot. Актуальність дослідження зумовлена зростанням важливості цифрової безпеки в умовах національних і глобальних гібридних загроз, кібератак і трансформації комунікативного середовища, що стимулює активний розвиток фахової термінології у сфері кібербезпеки. Підвищена зацікавленість дослідженнями у сфері кіберкомунікацій передбачає необхідність лінгвістичного осмислення спеціалізованої
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Et. al., S. A. Sivasankari,. "Voice Controlled Personal Assistive Bot with Object Detection." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 4 (2021): 578–84. http://dx.doi.org/10.17762/turcomat.v12i4.539.

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Currently innovation has made our lives simpler for individuals. Be that as it may, from this innovation, certain gatherings of individuals need more assistance and backing for old or handicap individuals. This innovation can make a method of having a typical life. Thus, we zeroed in on the idea of an individual colleague robot. The fundamental objectisto supply helptodebilitated people.ThisPerson alassistive Bot help to decrease the manual endeavors being put by people in their everyday errands. The intention is to execute a specialized work that is voice controlling one which can act as a PA
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Röhr, Matthias. "Meilensteine der Rechentechnik: Band 1: Analog- und Digitalrechner, Automaten und Roboter, wissenschaftliche Instrumente, Schrittfür-Schritt-Anleitungen [Milestones in computing technology: Volume 1: Analog and digital computers, automata and robots, scientific instruments, step-by-step instructions] , and: Meilensteine der Rechentechnik: Band 2: Erfindung des Computers, Rechnerbau in Europa, weltweite Entwicklungen, zweisprachiges Fachwörterbuch, Bibliografie [Milestones in computing technology: Volume 2: Invention of the computer, computer construction in Europe, worldwide developments, bilingual technical dictionary, bibliography] by Herbert Bruderer (review)." Technology and Culture 65, no. 3 (2024): 1042–44. http://dx.doi.org/10.1353/tech.2024.a933128.

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Mira, Nábělková. "„...radosť z roboty samej a vedomie, že prácou pre Slovensko slúžili sme republike.“ K slovenskému pôsobeniu Františka Heřmanského z hľadiska česko-slovenských medzijazykových a medziliterárnych vzťahov." Česko-slovenská historická ročenka 24, no. 2 (2022): 93–145. http://dx.doi.org/10.5817/cshr.2022.24.2.5.

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The paper focuses on the personality of the Czech secondary school teacher František Heřmanský (1887–1966) and his interwar activities in Slovakia concerning a broad sphere of education and culture. Several lines of his activity can be seen as part of the contemporary cultural policy in the field of Czech-Slovak interlingual and interliterary relations, where special attention was paid to the simultaneous development of Czech-Slovak and Slovak-Czech bilingualism and biliterarism. F. Heřmanský deserves special attention as the author of textbooks for both the Czech and Slovak schools. Being a c
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Boyko, Halyna. "ENCODE CHILDREN IN UKRAINIAN." Theory and Practice of Teaching Ukrainian as a Foreign Language, no. 18 (May 30, 2024): 93–101. http://dx.doi.org/10.30970/ufl.2024.18.4396.

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The article is devoted to the study of the alphabet of the Ukrainian language according to the educational course “My Friends” for children 4-6 years old abroad, which is intended for learning the Ukrainian language at the elementary level (according to the “Standardized requirements for the levels of proficiency in the Ukrainian language as a foreign language A1-C2”): A1 – the initial level, which certifies a partial acquaintance with the structure and system of the Ukrainian language and the possibility of simple, short and thematically limited communication in predicted everyday situations.
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Onisawa, Takehisa. "Special Issue on Selected Papers in SCIS & ISIS 2004 – No.2." Journal of Advanced Computational Intelligence and Intelligent Informatics 9, no. 3 (2005): 225. http://dx.doi.org/10.20965/jaciii.2005.p0225.

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The Joint Conference of the 2nd International Conference on Soft Computing and Intelligent Systems and the 5th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2004) held at Keio University in Yokohama, Japan, on September 21-24, 2004, attracted over 300 papers in fields such as mathematics, urban and transport planning, entertainment, intelligent control, learning, image processing, clustering, neural networks applications, evolutionary computation, system modeling, fuzzy measures, and robotics. The Program Committee requested reviewers in SCIS & ISIS 2004 to selec
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Indrawan, Gede, Ni Nyoman Harini Puspita, I. Ketut Paramarta, and Sariyasa Sariyasa. "LBtrans-Bot: A Latin-to-Balinese Script Transliteration Robotic System based on Noto Sans Balinese Font." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 3 (2018): 1247. http://dx.doi.org/10.11591/ijeecs.v12.i3.pp1247-1256.

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Balinese script writing, as one of Balinese cultural richness, is going to extinct because of its decreasing use. This research is one of the ways to preserve Balinese script writing using technological approach. Through collaboration between Computer Science and Balinese Language discipline, this research focused on the development of a Latin-to-Balinese script transliteration robotic system that was called LBtrans-Bot. LBtrans-Bot can be used as a learning system to give the transliteration knowledge as one aspect of Balinese script writing. In this research area, LBtrans-Bot was known as th
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Mingcen Gu, Stephen Karungaru, Kenji Terada, and Yuehua Li. "Vision-based primary localization method for SLAM mobile robots." JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH 6, no. 3 (2024). http://dx.doi.org/10.46947/joaasr632024944.

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The AMCL (Adaptive Monte Carlo Localization) algorithm with visual provision of initial values is proposed to address the slow localization speed caused by conventional laser SLAM (Simultaneous Localization and Mapping) without initial poses and the global localization failure after a robot abduction event. In the initial map building phase, the ORB (Oriented FAST and Rotated BRIEF) feature values are extracted from the camera and the wall corners are identified, and then the pose information is stored in the database and a feature dictionary is constructed. After restarting, the dictionary is
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Yang, Chen, and Zhiyun Lin. "Dictionary-Labeled A*: Optimal Path-and-Posture Planning for Mobile Robots With Turning Radius Constraints." IEEE Robotics and Automation Letters, 2024, 1–8. http://dx.doi.org/10.1109/lra.2024.3477097.

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Sytar, Hanna, та Lidia Baranowska. "СПОСОБИ ПЕРЕКЛАДУ ЛЕКСИЧНИХ ОДИНИЦЬ В ОПОВІДАННЯХ ЗБІРКИ "КАЗКИ РОБОТІВ" СТАНІСЛАВА ЛЕМА: ПОЛЬСЬКО-УКРАЇНСЬКІ ПАРАЛЕЛІ". Studia Interkulturowe Europy Środkowo-wschodniej 17 (2024). https://doi.org/10.31338/2544-3143.si.2024-17.9.

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This article discusses the issues associated with the translation into Ukrainian of the collection of short stories Tales of Robots by Stanislav Lem. There are six translation methods used by professional translators: dictionary matching, transcoding, literal translation, contextual substitution, formal negation, and descriptive translation. Among the lexical transformations in the analysed translations, word extraction, and generalisation were recorded.The analysis of the language material allows us to distinguish two patterns. First, it is possible to state the consolidation of certain metho
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Wu, Laurie, Alei Fan, Yang Yang, and Zeya He. "Robotic involvement in the service encounter: a value-centric experience framework and empirical validation." Journal of Service Management ahead-of-print, ahead-of-print (2021). http://dx.doi.org/10.1108/josm-12-2020-0448.

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PurposeTaking a mixed-method approach, this research developed and validated a novel, value-centric experience framework delineating robotic involvement in the service encounter and its subsequent impact on customers' experiences.Design/methodology/approachFocused on robotic restaurant businesses where robots are mainly involved in food production processes, this research utilized online customer review data and a multistage, mixed-method design for empirical examination. Automated thematic analysis was first adopted to facilitate a comprehensive understanding of the empirical reality as refle
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Yu, Chenglong, Zhiqi Li, Dapeng Yang, Hong Liu, and Alan F. Lynch. "Estimation of gravity parameters for multi-DOF serial manipulator arms using model learning with sparsity inducing norms." Industrial Robot: the international journal of robotics research and application ahead-of-print, ahead-of-print (2021). http://dx.doi.org/10.1108/ir-03-2021-0052.

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Purpose This study aims to propose a novel method based on model learning with sparsity inducing norms for estimating dynamic gravity terms of the serial manipulators. This method is realized by operating the robot, acquiring data and filtering the features in signal acquisition to adapt to the dynamic gravity parameters. Design/methodology/approach The core principle of the method is to analyze the dictionary composition of the basis function of the model based on the dynamic equation and the Jacobian matrix of an arm. According to the structure of the basis function and the sparsity of the f
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Daneshmand, Morteza, Alvo Aabloo, and Gholamreza Anbarjafari. "Size-Dictionary Interpolation for Robot’s Adjustment." Frontiers in Bioengineering and Biotechnology 3 (May 19, 2015). http://dx.doi.org/10.3389/fbioe.2015.00063.

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"E. Bürger—G. Korzak: Dictionary of Robot Technology." Babel. Revue internationale de la traduction / International Journal of Translation 33, no. 2 (1987): 118. http://dx.doi.org/10.1075/babel.33.2.18ebu.

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Zhang, Ning. "A STUDY ON OPTIMIZATION METHODS OF X-RAY MACHINE RECOGNITION FOR AVIATION SECURITY SYSTEM." International Journal on Smart Sensing and Intelligent Systems 8, no. 2 (2015). https://doi.org/10.21307/ijssis-2017-808.

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Traditional X-ray machine image recognition methods for airport security system have difficulties in recognition and are prone to result in recognition errors due to the impact of placing angle, density and volume of detected objects. This paper accurately describes the image features of X-ray machine visual image, carries out SVM classification after a visual dictionary is formed and enhances the accuracy of image discrimination by means of robust acceleration. The experimental results indicate that both identification efficiency and accuracy are improved to some extent.
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Qi, Jianjia. "Research on robotic mechanical power sensing model based on multimodal sensor fusion." Applied Mathematics and Nonlinear Sciences 10, no. 1 (2025). https://doi.org/10.2478/amns-2025-0312.

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Abstract There is an increasing demand for multimodal sensor fusion in the field of robot fine manipulation, but how to design efficient and convenient perception prediction modules is still a challenging problem. The model designed in this paper focuses on fully exploiting the complementarity and common distribution of audio-visual and tactile modal data, and combines with generative adversarial networks to realize multimodal collaborative generation of perception. As the dictionary size K increases, the recognition accuracies of the model in this paper are higher than the baseline model OSLS
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Ghosh, Saibal, Pritam Paral, and Amitava Chatterjee. "Weight thresholded regularized robust coding for vision sensing-based hand gesture detection in collaborative robotics." Physica Scripta, September 28, 2023. http://dx.doi.org/10.1088/1402-4896/acfe5a.

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Abstract Vision sensing-based hand gesture recognition is considered an important contemporary research problem of collaborative robotics in a human-robot coexisting environment. The problem becomes more complex in challenging environments, where a robot needs to correctly recognize a human gesture to perform navigation or some other designated job, even in the presence of poor illumination conditions, occlusion, etc. This work proposes a novel approach of successfully utilizing regularized robust coding (RRC)-based models to solve such hand gesture detection problems in real-life, challenging
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-Melgar, Salvador Sanchez. "THE LANGUAGE OF ARTIFICIAL INTELLIGENCE AND THE MATHEMATICS OF LETTERS." INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH 11, no. 04 (2023). http://dx.doi.org/10.47191/ijmcr/v11i4.05.

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Presentation of a mathematics of letters and a language of letters that will allow an artificial intelligence to learn endlessly and be able to think as we think. With the numbered letters, the information that an artificial intelligence obtains with its artificial senses will not lose its meaning, since through these numbered letters the information can be transformed into numbered words. In this way, each piece of information that an artificial intelligence obtains can be transformed into binary numbers, then into ordinary numbers of the numbered letters, thus being able to form numbered wor
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Hurtado, Fernando, Patricio de la Cuadra, and Miguel Torres. "A Robotic Flutist Framework for Exploring Acoustics, Human—Instrument Interaction, and Musical Creation." Computer Music Journal, October 22, 2024, 1–50. https://doi.org/10.1162/comj_a_00697.

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Abstract This article introduces an experimental robotic setup designed to investigate the performance and sound production of flutes. The flute, renowned for its intricate mechanism enabling musicians to dynamically adjust various parameters, yields a diverse range of rich sounds. A key feature of the flute involves the embouchure—the shaping of the air channel by the musician's lips—providing control over airflow, velocity, distance to the labium, inclination, and position. The robotic testbed manipulates critical parameters of the sound-producing system, incorporating an artificial mouth an
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