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Статті в журналах з теми "Robotics, Cloud Robotics, Service Robotics, Cloud"
Shakya, Dr Subarna. "Survey on Cloud Based Robotics Architecture, Challenges and Applications." Journal of Ubiquitous Computing and Communication Technologies 2, no. 1 (March 11, 2020): 10–18. http://dx.doi.org/10.36548/jucct.2020.1.002.
Повний текст джерелаAhn, Hyunsik. "A Function as a Service Based Fog Robotic System for Cognitive Robots." Applied Sciences 9, no. 21 (October 27, 2019): 4555. http://dx.doi.org/10.3390/app9214555.
Повний текст джерелаBogue, Robert. "Cloud robotics: a review of technologies, developments and applications." Industrial Robot: An International Journal 44, no. 1 (January 16, 2017): 1–5. http://dx.doi.org/10.1108/ir-10-2016-0265.
Повний текст джерелаSaha, Olimpiya, and Prithviraj Dasgupta. "A Comprehensive Survey of Recent Trends in Cloud Robotics Architectures and Applications." Robotics 7, no. 3 (August 30, 2018): 47. http://dx.doi.org/10.3390/robotics7030047.
Повний текст джерелаRomanov, A. M. "A review on control systems hardware and software for robots of various scale and purpose. Part 1. Industrial robotics." Russian Technological Journal 7, no. 5 (October 15, 2019): 30–46. http://dx.doi.org/10.32362/2500-316x-2019-7-5-30-46.
Повний текст джерелаBotta, Alessio, Jonathan Cacace, Riccardo De Vivo, Bruno Siciliano, and Giorgio Ventre. "Networking for Cloud Robotics: The DewROS Platform and Its Application." Journal of Sensor and Actuator Networks 10, no. 2 (June 14, 2021): 34. http://dx.doi.org/10.3390/jsan10020034.
Повний текст джерелаWang, Fei, Lin Zhang, and Yuanjun Laili. "Multi-granularity service composition in industrial cloud robotics." Robotics and Computer-Integrated Manufacturing 78 (December 2022): 102414. http://dx.doi.org/10.1016/j.rcim.2022.102414.
Повний текст джерелаKamburugamuve, Supun, Leif Christiansen, and Geoffrey Fox. "A Framework for Real Time Processing of Sensor Data in the Cloud." Journal of Sensors 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/468047.
Повний текст джерелаSorrentino, Alessandra, Filippo Cavallo, and Laura Fiorini. "A Plug and Play Transparent Communication Layer for Cloud Robotics Architectures." Robotics 9, no. 1 (March 22, 2020): 17. http://dx.doi.org/10.3390/robotics9010017.
Повний текст джерелаOksa, Petri Tapani, and Tarmo Lipping. "Reliability of ROS Networked Mobile Robots." International Journal of Open Source Software and Processes 10, no. 1 (January 2019): 34–48. http://dx.doi.org/10.4018/ijossp.2019010103.
Повний текст джерелаДисертації з теми "Robotics, Cloud Robotics, Service Robotics, Cloud"
Yousif, Robert. "A Practical Approach of an Internet of Robotic Things Platform." Thesis, KTH, Mekatronik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-244412.
Повний текст джерелаAvhandlingens syfte är att utforma och utveckla en plattform baserat på konceptet Internet of Robotic Things konstruerat av en robotikplattform, en Internet of Things plattform och molntjänster. En Internet of Things plattform är ett globalt nätverk som tillåter många enheter att kommunicera med varandra och överföra data över Internet. En robotikplattform underlättar kontrollen av in/ut mellan mjukvara, mekaniska enheter och elektroniska system. Molntjänster är en gemensam pool av skalbar hårdvara som vanligtvis erbjuds av tredje parts molnleverantörer. En Internet of Robotic Things plattform är en global infrastruktur som underlättar avancerade robotar att interagera över Internet genom en gemensam kommunikationsteknik, en pool av molntjänster som delas av alla uppkopplade robotar som tillåter skalbar lagring och processorkraft.Plattformens huvudkomponenter är robotikplattformen Robot Operating System, Internet of Things plattformen AWS IoT Core och molntjänsterna Amazon DynamoDB och AWS Lambda för lagring och databearbetning.Plattformen evalueras i form av plattformegenskaperna, fördröjningar & funktionstid och visualiseringsförmåga. Plattformen visar lovande resultat i from av fördröjningar mellan två robotar som utbyter data med hjälp av IoT plattformen, där fördröjningarna är begränsade av distanssträckan. Plattformens egenskap att visualisera strömmande data från robotar möjliggör för en operatör att visualisera utvald data från plattformen över internet i realtid.
Chitic, Stefan-Gabriel. "Middleware and programming models for multi-robot systems." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSEI018/document.
Повний текст джерелаDespite many years of work in robotics, there is still a lack of established software architecture and middleware for multi-robot systems. A robotic middleware should be designed to abstract the low-level hardware architecture, facilitate communication and integration of new software. This PhD thesis is focusing on middleware for multi-robot system and how we can improve existing frameworks for fleet purposes by adding multi-robot coordination services, development and massive deployment tools. We expect robots to be increasingly useful as they can take advantage of data pushed from other external devices in their decision making instead of just reacting to their local environment (sensors, cooperating robots in a fleet, etc). This thesis first evaluates one of the most recent middleware for mobile robot(s), Robot operating system (ROS) and continues with a state of the art about the commonly used middlewares in robotics. Based on the conclusions, we propose an original contribution in the multi-robot context, called SDfR (Service discovery for Robots), a service discovery mechanism for Robots. The main goal is to propose a mechanism that allows highly mobile robots to keep track of the reachable peers inside a fleet while using an ad-hoc infrastructure. Another objective is to propose a network configuration negotiation protocol. Due to the mobility of robots, classical peer to peer network configuration techniques are not suitable. SDfR is a highly dynamic, adaptive and scalable protocol adapted from Simple Service Discovery Protocol (SSDP). We conduced a set of experiments, using a fleet of Turtlebot robots, to measure and show that the overhead of SDfR is limited. The last part of the thesis focuses on programming model based on timed automata. This type of programming has the benefits of having a model that can be verified and simulated before deploying the application on real robots. In order to enrich and facilitate the development of robotic applications, a new programming model based on timed automata state machines is proposed, called ROSMDB (Robot Operating system Model Driven Behaviour). It provides model checking at development phase and at runtime. This contribution is composed of several components: a graphical interface to create models based on timed automata, an integrated model checker based on UPPAAL and a code skeleton generator. Moreover, a ROS specific framework is proposed to verify the correctness of the execution of the models and to trigger alerts. Finally, we conduct two experiments: one with a fleet of Parrot drones and second with Turtlebots in order to illustrates the proposed model and its ability to check properties
Bruse, Andreas. "Exploiting Cloud Resources For Semantic Scene Understanding On Mobile Robots." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-169116.
Повний текст джерелаModerna mobila robotar har begränsade resurser. Det får inte plats hur mycket hårdvara som helst på roboten och ändå förväntas de utföra arbeten som kräver extremt mycket datorkraft, tillgång till enorm mängd data och samtidigt kommunicera med andra robotar runt omkring sig. Det här examensarbetet utforskar robotik i molnet där komplexa beräk- ningar kan läggas ut i en molntjänst som kan ha tillgång till denna stora mängd datakraft och ha plats för de stora datamängder som behövs. The Ro- bot Operating System, eller ROS, byggs ut för att stödja kommunikation med en molntjänst och det här systemet används sedan för att testa vår lösning på ett så komplext problem som att förstå en omgivning eller miljö på ett seman- tiskt plan. Fördelarna med att använda en molnbaserad lösning används genom att koppla upp sig mot ett objektigenkänningssytem i molnet och för att byg- ga ett objektkategoriseringssystem som förlitar sig på storskaliga datamängder och parallella beräkningsmodeller. Slutligen föreslås en metod för att bygga en tillförlitlig miljöbeskrivning genom att utnyttja semantiska relationer mellan föremål.
Liu, Yuwei. "OpenMP based Action Entropy Active Sensing in Cloud Computing." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1584809369789769.
Повний текст джерелаBhal, Siddharth. "Fog computing for robotics system with adaptive task allocation." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78723.
Повний текст джерелаMaster of Science
Toris, Russell C. "Spatial and Temporal Learning in Robotic Pick-and-Place Domains via Demonstrations and Observations." Digital WPI, 2016. https://digitalcommons.wpi.edu/etd-dissertations/135.
Повний текст джерелаNagrath, Vineet. "Software architectures for cloud robotics : the 5 view Hyperactive Transaction Meta-Model (HTM5)." Thesis, Dijon, 2015. http://www.theses.fr/2015DIJOS005/document.
Повний текст джерелаSoftware development for cloud connected robotic systems is a complex software engineeringendeavour. These systems are often an amalgamation of one or more robotic platforms, standalonecomputers, mobile devices, server banks, virtual machines, cameras, network elements and ambientintelligence. An agent oriented approach represents robots and other auxiliary systems as agents inthe system.Software development for distributed and diverse systems like cloud robotic systems require specialsoftware modelling processes and tools. Model driven software development for such complexsystems will increase flexibility, reusability, cost effectiveness and overall quality of the end product.The proposed 5-view meta-model has separate meta-models for specifying structure, relationships,trade, system behaviour and hyperactivity in a cloud robotic system. The thesis describes theanatomy of the 5-view Hyperactive Transaction Meta-Model (HTM5) in computation independent,platform independent and platform specific layers. The thesis also describes a domain specificlanguage for computation independent modelling in HTM5.The thesis has presented a complete meta-model for agent oriented cloud robotic systems and hasseveral simulated and real experiment-projects justifying HTM5 as a feasible meta-model
Trowbridge, Michael Aaron. "Autonomous 3D Model Generation of Orbital Debris using Point Cloud Sensors." Thesis, University of Colorado at Boulder, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1558774.
Повний текст джерелаA software prototype for autonomous 3D scanning of uncooperatively rotating orbital debris using a point cloud sensor is designed and tested. The software successfully generated 3D models under conditions that simulate some on-orbit orbit challenges including relative motion between observer and target, inconsistent target visibility and a target with more than one plane of symmetry. The model scanning software performed well against an irregular object with one plane of symmetry but was weak against objects with 2 planes of symmetry.
The suitability of point cloud sensors and algorithms for space is examined. Terrestrial Graph SLAM is adapted for an uncooperatively rotating orbital debris scanning scenario. A joint EKF attitude estimate and shape similiarity loop closure heuristic for orbital debris is derived and experimentally tested. The binary Extended Fast Point Feature Histogram (EFPFH) is defined and analyzed as a binary quantization of the floating point EFPFH. Both the binary and floating point EPFH are experimentally tested and compared as part of the joint loop closure heuristic.
Forsman, Mona. "Point cloud densification." Thesis, Umeå universitet, Institutionen för fysik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-39980.
Повний текст джерелаWang, Chen. "Connectivity, Security and Integrationfor Cloud Manufacturing." Thesis, KTH, Industriell produktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-226522.
Повний текст джерелаThis master thesis project aims to connect the industrial robot to the Cloud platform, and evaluate the connectivity and security. To realize better connectivity, security and integration, a modified Cloud Manufacturing System (CRS) architecture is proposed, which is characterized by high modularity, standardization and composability. The architecture’s specific applications in private, public and hybrid cloud are discussed as well. Then, one system architecture with detailed software composition is designed for Cloud Robotics.According to the proposed system architecture, possible security threat sources and corresponding solutions are presented.During the project, Universal Robot 5 (UR5) is utilized as a practical robot instance to develop a communication routine between KTH Cloud and robots. An Application Program Interface (API) written by Python for Universal Robots and the server is established. The API consists of two modularized part, Gateway Agent and Application Package. The Gateway Agent realizes the connection between the Universal Robot 5 (UR5) and the cloud, while theApplication Package can be customized according to specific application and requirements. In this project, three main functions are developed in the Application Package, including data acquisition, data visualization and remote control. Besides, to evaluate connectivity and stability, private robotics cloud system and public robotics cloud system are simulated with KTH Cloud. The hybrid robotics cloud system is discussed as well. Through the results of case studies, the connectivity and integration of Cloud Manufacturing System are verified.
Книги з теми "Robotics, Cloud Robotics, Service Robotics, Cloud"
Uden, Lorna. 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Знайти повний текст джерелаMello, Ricardo C., Moises R. N. Ribeiro, and Anselmo Frizera-Neto. Implementing Cloud Robotics for Practical Applications. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16908-3.
Повний текст джерелаUden, Lorna. Workshop on Learning Technology for Education in Cloud (LTEC'12). Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Знайти повний текст джерелаStakem, Patrick. Mobile Cloud Robotics. Independently Published, 2018.
Знайти повний текст джерелаKoubaa, Anis, and Elhadi Shakshuki. Robots and Sensor Clouds. Springer, 2016.
Знайти повний текст джерелаRobots and Sensor Clouds. Springer, 2015.
Знайти повний текст джерелаKoubaa, Anis, and Elhadi Shakshuki. Robots and Sensor Clouds. Springer London, Limited, 2015.
Знайти повний текст джерелаPomerleau, Francois, Francis Colas, and Roland Siegwart. Review of Point Cloud Registration Algorithms for Mobile Robotics. Now Publishers, 2015.
Знайти повний текст джерелаMello, Ricardo C., Moises R. N. Ribeiro, and Anselmo Frizera-Neto. Implementing Cloud Robotics for Practical Applications: From Human-Robot Interaction to Autonomous Navigation. Springer International Publishing AG, 2022.
Знайти повний текст джерелаЧастини книг з теми "Robotics, Cloud Robotics, Service Robotics, Cloud"
Wang, Yili, Naichen Wang, Zhihao Chen, and Wenbo Chen. "A Fully Cloud-Based Modular Home Service Robot." In Intelligent Robotics and Applications, 320–34. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65298-6_30.
Повний текст джерелаAnton, Florin, Th Borangiu, O. Morariu, Silviu Răileanu, Silvia Anton, and Nick Ivănescu. "Decentralizing Cloud Robot Services Through Edge Computing." In Advances in Service and Industrial Robotics, 618–26. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00232-9_65.
Повний текст джерелаSilvagni, Mario, Marcello Chiaberge, Claudio Sanguedolce, and Gianluca Dara. "A Modular Cloud Robotics Architecture for Data Management and Mission Handling of Unmanned Robotic Services." In Advances in Service and Industrial Robotics, 528–38. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61276-8_55.
Повний текст джерелаQian, Kui, Yiting Liu, Aiguo Song, and Jialu Li. "A Control System Framework Model for Cloud Robots Based on Service-Oriented Architecture." In Intelligent Robotics and Applications, 579–88. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27532-7_51.
Повний текст джерелаAnton, Florin, Theodor Borangiu, Silviu Răileanu, and Silvia Anton. "Cloud-Based Digital Twin for Robot Integration in Intelligent Manufacturing Systems." In Advances in Service and Industrial Robotics, 565–73. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48989-2_60.
Повний текст джерелаNyga, Daniel, and Michael Beetz. "Cloud-Based Probabilistic Knowledge Services for Instruction Interpretation." In Springer Proceedings in Advanced Robotics, 649–64. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60916-4_37.
Повний текст джерелаAnton, Florin Daniel, Theodor Borangiu, Silvia Anton, and Silviu Raileanu. "Cloud Robot Vision Services Extend High-Performance Computing Capabilities of Robot Systems." In Advances in Service and Industrial Robotics, 317–27. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61276-8_35.
Повний текст джерелаRodić, Aleksandar, Jovan Šumarac, Ilija Stevanović, and Miloš Jovanović. "Cloud-Enabled Bi-manual Collaborative Robot with Enhanced Versatility for Customized Production." In Advances in Service and Industrial Robotics, 240–49. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75259-0_26.
Повний текст джерелаAnton, Florin, Theodor Borangiu, Silviu Răileanu, Silvia Anton, Nick Ivănescu, and Iulia Iacob. "Secure Sharing of Robot and Manufacturing Resources in the Cloud for Research and Development." In Advances in Service and Industrial Robotics, 535–43. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19648-6_61.
Повний текст джерелаDragoicea, Monica, and Theodor Borangiu. "A Service Science Knowledge Environment in the Cloud." In Service Orientation in Holonic and Multi Agent Manufacturing and Robotics, 229–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35852-4_15.
Повний текст джерелаТези доповідей конференцій з теми "Robotics, Cloud Robotics, Service Robotics, Cloud"
Li, Lan, Wenjun Xu, Zhihao Liu, Bitao Yao, Zude Zhou, and Duc Truong Pham. "Digital Twin-Based Control Approach for Industrial Cloud Robotics." In ASME 2019 14th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/msec2019-2920.
Повний текст джерелаMa, Yanping, Wenjun Xu, Sisi Tian, Jiayi Liu, Bitao Yao, Yang Hu, and Hao Feng. "Knowledge Graph-Based Manufacturing Capability Service Optimal Selection for Industrial Cloud Robotics." In ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8351.
Повний текст джерелаLiu, Jiayi, Wenjun Xu, Jiaqiang Zhang, Zude Zhou, and Duc Truong Pham. "Industrial Cloud Robotics Towards Sustainable Manufacturing." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8733.
Повний текст джерелаJin, Lixue, Wenjun Xu, Zhihao Liu, Junwei Yan, Zude Zhou, and Duc Truong Pham. "Knowledge Sharing and Evolution of Industrial Cloud Robotics." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6538.
Повний текст джерелаZhang, Huaxi, and Lei Zhang. "Cloud Robotics Architecture: Trends and Challenges." In 2019 IEEE International Conference on Service-Oriented System Engineering (SOSE). IEEE, 2019. http://dx.doi.org/10.1109/sose.2019.00061.
Повний текст джерелаMerle, Philippe, Christophe Gourdin, and Nathalie Mitton. "Mobile Cloud Robotics as a Service with OCCIware." In 2017 IEEE International Congress on Internet of Things (ICIOT). IEEE, 2017. http://dx.doi.org/10.1109/ieee.iciot.2017.15.
Повний текст джерелаRosa, Stefano, Ludovico Orlando Russo, Giorgio Toscana, Stefano Primatesta, Miguel Kaouk Ng, and Basilio Bona. "Leveraging the cloud for connected service robotics applications." In 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA). IEEE, 2015. http://dx.doi.org/10.1109/etfa.2015.7301653.
Повний текст джерелаLiman, Dmitry A., Larisa I. Shustova, Ilya V. Chugunkov, and Alexander A. Dyumin. "The Log Data Collection Service for Cloud Robotics." In 2017 IEEE 11th International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2017. http://dx.doi.org/10.1109/icaict.2017.8687004.
Повний текст джерелаSugiura, Komei, Yoshinori Shiga, Hisashi Kawai, Teruhisa Misu, and Chiori Hori. "Non-monologue HMM-based speech synthesis for service robots: A cloud robotics approach." In 2014 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2014. http://dx.doi.org/10.1109/icra.2014.6907168.
Повний текст джерелаBozcuoglu, Asil Kaan, and Michael Beetz. "A cloud service for robotic mental simulations." In 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2017. http://dx.doi.org/10.1109/icra.2017.7989309.
Повний текст джерелаЗвіти організацій з теми "Robotics, Cloud Robotics, Service Robotics, Cloud"
Strutynska, Oksana V., Grygoriy M. Torbin, Mariia A. Umryk, and Roman M. Vernydub. Digitalization of the educational process for the training of the pre-service teachers. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4437.
Повний текст джерелаValko, Nataliia V., Nataliya O. Kushnir, and Viacheslav V. Osadchyi. Cloud technologies for STEM education. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3882.
Повний текст джерелаValko, Nataliia V., Viacheslav V. Osadchyi, and Vladyslav S. Kruhlyk. Cloud resources use for students' project activities. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4444.
Повний текст джерелаRudd, Ian. Leveraging Artificial Intelligence and Robotics to Improve Mental Health. Intellectual Archive, July 2022. http://dx.doi.org/10.32370/iaj.2710.
Повний текст джерелаChen, Maggie, and Christian Volpe Martincus. Digital Technologies and Globalization: A Survey of Research and Policy Applications. Inter-American Development Bank, March 2022. http://dx.doi.org/10.18235/0004117.
Повний текст джерела