Academic literature on the topic 'Mobile robotics'
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Journal articles on the topic "Mobile robotics"
K, Karthick Vishal, and Dr S. Venkatesh Kumar. "A Study on Mobile Robotics in Robotics." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (October 31, 2018): 872–74. http://dx.doi.org/10.31142/ijtsrd18649.
Full textMcMullen, Shannon C., and Fabian Winkler. "Soybots: Mobile Micro-Gardens." Leonardo 50, no. 5 (October 2017): 507–8. http://dx.doi.org/10.1162/leon_a_01232.
Full textRyu, Ji Hyoung, Muhammad Irfan, and Aamir Reyaz. "A Review on Sensor Network Issues and Robotics." Journal of Sensors 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/140217.
Full textArtemenko, M. N., P. A. Korchagin, and I. A. Teterina. "DEVELOPMENT TRENDS OF UNMANNED ROBOTIC SYSTEMS: EXPERIENCE OF DOMESTIC AND FOREIGN MANUFACTURERS." Russian Automobile and Highway Industry Journal 16, no. 4 (September 8, 2019): 416–30. http://dx.doi.org/10.26518/2071-7296-2019-4-416-430.
Full textPurdon, Kyla, John Dickens, Willis de Ronde, Kshir Ramruthan, and Gerrie Crafford. "Voyager, a ground mobile robotic platform for research development." MATEC Web of Conferences 388 (2023): 04016. http://dx.doi.org/10.1051/matecconf/202338804016.
Full textAsama, Hajime. "Special Issue on Distributed Robotic Systems." Journal of Robotics and Mechatronics 8, no. 5 (October 20, 1996): 395. http://dx.doi.org/10.20965/jrm.1996.p0395.
Full textChen, Buyun, Hao Yang, Boxiang Song, Deming Meng, Xiaodong Yan, Yuanrui Li, Yunxiang Wang, et al. "A memristor-based hybrid analog-digital computing platform for mobile robotics." Science Robotics 5, no. 47 (October 21, 2020): eabb6938. http://dx.doi.org/10.1126/scirobotics.abb6938.
Full textIshihara, Hidenori, Kimihito Yukawa, Toshio Fukuda, Fumihito Arai, and Yasuhisa Hasegawa. "Miniaturized Mobile Robot Kit for Robotics Seminars for Young People." Journal of Robotics and Mechatronics 15, no. 6 (December 20, 2003): 639–45. http://dx.doi.org/10.20965/jrm.2003.p0639.
Full textDiller, Eric. "Micro-Scale Mobile Robotics." Foundations and Trends in Robotics 2, no. 3 (2011): 143–259. http://dx.doi.org/10.1561/2300000023.
Full textCass, S. "Robosoccer [mobile robotics experiment]." IEEE Spectrum 38, no. 5 (May 2001): 75–77. http://dx.doi.org/10.1109/6.920035.
Full textDissertations / Theses on the topic "Mobile robotics"
Barlas, Fırat Alizade Rasim. "Design Of A Mars Rover Suspension Mechanism /." [S.l. : s.n.], 2004. http://library.iyte.edu.tr/tezler/master/makinamuh/T000341.pdf.
Full textKeppeler, Karl E. (Karl Edward). "A mobile robotics development platform." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/39077.
Full textIncludes bibliographical references (leaf 43).
by Karl E. Keppeler.
M.Eng.
Peel, Andrew Gregory. "On designing a mobile robot for robocup /." Connect to thesis, 2006. http://eprints.unimelb.edu.au/archive/00003101.
Full textTang, Yilun. "Robot navigation and localization in regular office environment /." View abstract or full-text, 2010. http://library.ust.hk/cgi/db/thesis.pl?CSED%202010%20TANG.
Full textBiddlestone, Scott Richard. "Collaborative Motion for Mobile Platforms." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1357227236.
Full textZienkiewicz, Jacek. "Dense monocular perception for mobile robotics." Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/58855.
Full textJohansen, Maria. "Adaptive Robotics : A behavior-based system for control of mobile robots." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-10855.
Full textThis report will explore behavior-based robotics and relevant AI techniques. A system for autonomous control of mobile robots inspired by behavior-based robotics, in particular Rodney Brooks' subsumption architecture, have been implemented, adapted for use in a multiagent environment. The system is modular and flexible, allowing for easy addition and removal of system parts. A weight-based command fusion approach is taken to action selection, making it possible to satisfy multiple behaviors simultaneously.
Bigheti, Jeferson André [UNESP]. "Navegação de robôs em ambientes internos usando slam." Universidade Estadual Paulista (UNESP), 2011. http://hdl.handle.net/11449/87178.
Full textCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
A proposta deste trabalho é dotar um robô móvel com a capacidade de mapear e se localizar no ambiente simultaneamente onde tal problema é conhecido na literatura clássica como SLAM (Simultaneous Localizaton and Mapping). Para operar, o robô deve ser capaz de manter uma estimativa da sua posição com base nos sensores embarcados veículo, adquirir e utilizar conhecimento sobre o mundo ao seu redor, possuir a habilidade de reconhecer obstáculos, e responder em tempo real as situações que possam ocorrer neste ambiente. Este trabalho propõe também a utilização de um sensor de ultra-som com varredura frontal de 180 graus, para detecção de landmarks (marcos) naturais em um ambiente interno para construção do mapa na memória do sistema de controle do robô. As informações do deslocamento do robô são fornecidas pelo sistema de odometria com encoder. Essas informações de deslocamento do robô a distância dos landmarks são combinadas através da aplicação do Filtro de Kalman Estendido (EKF), para o cálculode posição e orientação estimados do robô bem como a posição estimada dos landmarks (mapa). Trata-se de um trabalho com resultados preliminares, que tem como contribuição específica realizar a tarefa de localização e mapeamento simultaneamente (SLAM) usando um sensor de ultra-som rotativo. São apresentados também os resultados de simulação da técnica de localização e mapeamento simultâneo usando o Filtro de Kalman Estendido (EKT) e complementadas com avaliações experimentais em ambiente reais, aplicado a um robô móvel trabalhando como um transportador de materiais automatizado no chão de fábrica. Discussões são apresentadas sobre os sensores usados, a complexidade computacional, a associação de dados e a modelagem e controle do robô móvel
The purpose of this paper is to provide a mobile robot with the ability to simultaneously map and locate the environment. This problem is know in classical literature as SLAM (Simultaneous Localization and Mapping). To operate, the robot must be able to maintain an estimation of its position based on sensors attached to the vehicle, acquire and use knowledge about the world around it, have the ability to recognize obstacles and respond in real time situations that may occur in this environment. This paper also proposes the use of an ultrasonic sensor to scan an angle of 180 degrees, for detection of landmarks in a natural environment in order to build the internal map inside the robot's controller memory. The displacement information is provided by the robot odometry system with encoder. This information is combined through the application of Extended Kalmar filter (EKT). This is a preliminary work, which has the specific contribution the task of locating and mapping simultaneously (SLAM) using a rotating ultrasonic sensor. There is also presented the simulation of the technique of simultaneous localization and mapping using the extended Kalman filter (EKT) in addition of experimental evaluations in real environment, applied to a mobile robot working as an automated carried materials on the factory floor. Discussions are presented on the used sensors, the computational complexity, data combination and modeling and control of mobile robot
August, Riley. "Applying genetic programming to scripted mobile robotics." Thesis, University of Ottawa (Canada), 2009. http://hdl.handle.net/10393/28474.
Full textSilva, João Manuel Leite da. "Perception and software architecture for mobile robotics." Doctoral thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/14083.
Full textWhen developing software for autonomous mobile robots, one has to inevitably tackle some kind of perception. Moreover, when dealing with agents that possess some level of reasoning for executing their actions, there is the need to model the environment and the robot internal state in a way that it represents the scenario in which the robot operates. Inserted in the ATRI group, part of the IEETA research unit at Aveiro University, this work uses two of the projects of the group as test bed, particularly in the scenario of robotic soccer with real robots. With the main objective of developing algorithms for sensor and information fusion that could be used e ectively on these teams, several state of the art approaches were studied, implemented and adapted to each of the robot types. Within the MSL RoboCup team CAMBADA, the main focus was the perception of ball and obstacles, with the creation of models capable of providing extended information so that the reasoning of the robot can be ever more e ective. To achieve it, several methodologies were analyzed, implemented, compared and improved. Concerning the ball, an analysis of ltering methodologies for stabilization of its position and estimation of its velocity was performed. Also, with the goal keeper in mind, work has been done to provide it with information of aerial balls. As for obstacles, a new de nition of the way they are perceived by the vision and the type of information provided was created, as well as a methodology for identifying which of the obstacles are team mates. Also, a tracking algorithm was developed, which ultimately assigned each of the obstacles a unique identi er. Associated with the improvement of the obstacles perception, a new algorithm of estimating reactive obstacle avoidance was created. In the context of the SPL RoboCup team Portuguese Team, besides the inevitable adaptation of many of the algorithms already developed for sensor and information fusion and considering that it was recently created, the objective was to create a sustainable software architecture that could be the base for future modular development. The software architecture created is based on a series of di erent processes and the means of communication among them. All processes were created or adapted for the new architecture and a base set of roles and behaviors was de ned during this work to achieve a base functional framework. In terms of perception, the main focus was to de ne a projection model and camera pose extraction that could provide information in metric coordinates. The second main objective was to adapt the CAMBADA localization algorithm to work on the NAO robots, considering all the limitations it presents when comparing to the MSL team, especially in terms of computational resources. A set of support tools were developed or improved in order to support the test and development in both teams. In general, the work developed during this thesis improved the performance of the teams during play and also the e ectiveness of the developers team when in development and test phases.
Durante o desenvolvimento de software para robôs autónomos móveis, e inevitavelmente necessário lidar com algum tipo de perceção. Al em disso, ao lidar com agentes que possuem algum tipo de raciocínio para executar as suas ações, há a necessidade de modelar o ambiente e o estado interno do robô de forma a representar o cenário onde o robô opera. Inserido no grupo ATRI, integrado na unidade de investigação IEETA da Universidade de Aveiro, este trabalho usa dois dos projetos do grupo como plataformas de teste, particularmente no cenário de futebol robótico com robôs reais. Com o principal objetivo de desenvolver algoritmos para fusão sensorial e de informação que possam ser usados eficazmente nestas equipas, v arias abordagens de estado da arte foram estudadas, implementadas e adaptadas para cada tipo de robôs. No âmbito da equipa de RoboCup MSL, CAMBADA, o principal foco foi a perceção da bola e obstáculos, com a criação de modelos capazes de providenciar informação estendida para que o raciocino do robô possa ser cada vez mais eficaz. Para o alcançar, v arias metodologias foram analisadas, implementadas, comparadas e melhoradas. Em relação a bola, foi efetuada uma análise de metodologias de filtragem para estabilização da sua posição e estimação da sua velocidade. Tendo o guarda-redes em mente, foi também realizado trabalho para providenciar informação de bolas no ar. Quanto aos obstáculos, foi criada uma nova definição para a forma como são detetados pela visão e para o tipo de informação fornecida, bem como uma metodologia para identificar quais dos obstáculos são colegas de equipa. Além disso foi desenvolvido um algoritmo de rastreamento que, no final, atribui um identicador único a cada obstáculo. Associado a melhoria na perceção dos obstáculos foi criado um novo algoritmo para realizar desvio reativo de obstáculos. No contexto da equipa de RoboCup SPL, Portuguese Team, al em da inevitável adaptação de vários dos algoritmos j a desenvolvidos para fusão sensorial e de informação, tendo em conta que foi recentemente criada, o objetivo foi criar uma arquitetura sustentável de software que possa ser a base para futuro desenvolvimento modular. A arquitetura de software criada e baseada numa série de processos diferentes e métodos de comunicação entre eles. Todos os processos foram criados ou adaptados para a nova arquitetura e um conjunto base de papeis e comportamentos foi definido para obter uma framework funcional base. Em termos de perceção, o principal foco foi a definição de um modelo de projeção e extração de pose da câmara que consiga providenciar informação em coordenadas métricas. O segundo objetivo principal era adaptar o algoritmo de localização da CAMBADA para funcionar nos robôs NAO, considerando todas as limitações apresentadas quando comparando com a equipa MSL, principalmente em termos de recursos computacionais. Um conjunto de ferramentas de suporte foram desenvolvidas ou melhoradas para auxiliar o teste e desenvolvimento em ambas as equipas. Em geral, o trabalho desenvolvido durante esta tese melhorou o desempenho da equipas durante os jogos e também a eficácia da equipa de programação durante as fases de desenvolvimento e teste.
Books on the topic "Mobile robotics"
Nikos, Katevas, ed. Mobile robotics in healthcare. Amsterdam: IOS Press, 2001.
Find full textM, Flynn Anita, ed. Mobile robots: Inspiration to implementation. Wellesley, Mass: A.K. Peters, 1993.
Find full textL, Jones Joseph. Mobile robots: Inspiration to implementation. 2nd ed. Natick, Mass: A.K. Peters, 1999.
Find full textNehmzow, Ulrich. Mobile Robotics: A Practical Introduction. London: Springer London, 2003.
Find full textBerry, Carlotta A. Mobile Robotics for Multidisciplinary Study. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-031-01830-5.
Full textNehmzow, Ulrich. Mobile Robotics: A Practical Introduction. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-3392-6.
Full textNehmzow, Ulrich. Mobile Robotics: A Practical Introduction. London: Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-0025-6.
Full textS, Ge S., and Lewis Frank L, eds. Automous mobile robots: Sensing, control, decision-making, and applications. Boca Raton, FL: Taylor & Francis, 2006.
Find full textDuo yi dong ji qi ren xie tong yuan li yu ji shu: Synergy principles and technologies of multi-mobile robots. Beijing Shi: Guo fang gong ye chu ban she, 2011.
Find full textMinimalist mobile robotics: A colony-style architecture for an artificial creature. Boston: Academic Press, 1990.
Find full textBook chapters on the topic "Mobile robotics"
Mihelj, Matjaž, Tadej Bajd, Aleš Ude, Jadran Lenarčič, Aleš Stanovnik, Marko Munih, Jure Rejc, and Sebastjan Šlajpah. "Mobile Robots." In Robotics, 189–208. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72911-4_13.
Full textShekhar, Shashi, and Hui Xiong. "Mobile Robotics." In Encyclopedia of GIS, 677. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_797.
Full textTang, Chinpei, Yunyi Jia, and Venkat N. Krovi. "Mobile Manipulators." In Encyclopedia of Robotics, 1–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-642-41610-1_45-1.
Full textPoole, Harry H. "Mobile Robots." In Fundamentals of Robotics Engineering, 189–220. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-011-7050-5_8.
Full textCorke, Peter. "Mobile Robot Vehicles." In Robotics and Control, 97–122. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79179-7_4.
Full textIndiveri, Giovanni. "Omnidirectional Mobile Robots." In Encyclopedia of Robotics, 1–5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-642-41610-1_47-1.
Full textKarabegović, Isak, and Vlatko Doleček. "Mobile Robotics." In Environmental and Agricultural Informatics, 630–60. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9621-9.ch029.
Full textKarabegović, Isak, and Vlatko Doleček. "Mobile Robotics." In Detecting and Mitigating Robotic Cyber Security Risks, 232–60. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2154-9.ch016.
Full text"Mobile Robotics." In Encyclopedia of GIS, 1275. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_100782.
Full textJaulin, Luc. "Three-dimensional Modeling." In Mobile Robotics, 1–44. Elsevier, 2015. http://dx.doi.org/10.1016/b978-1-78548-048-5.50001-2.
Full textConference papers on the topic "Mobile robotics"
"Mobile robotics." In 2010 IEEE International Conference on Industrial Technology. IEEE, 2010. http://dx.doi.org/10.1109/icit.2010.5472501.
Full text"Mobile Robotics." In 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC). IEEE, 2021. http://dx.doi.org/10.1109/pemc48073.2021.9432593.
Full textArunkumar, V., Devika Rajasekar, and N. Aishwarya. "A Review Paper on Mobile Robots Applications in Search and Rescue Operations." In International Conference on Future Technologies in Manufacturing, Automation, Design and Energy. Switzerland: Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-ip2l3t.
Full textBernier, Emmanuel, Ryad Chellali, and Indira Mouttapa Thouvenin. "The MobilAR Robot, Ubiquitous, Unobtrusive, Augmented Reality Device." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82794.
Full textBasso, Brandon, Benjamin Kehoe, and J. Karl Hedrick. "A Multi-Level Modularized System Architecture for Mobile Robotics." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4257.
Full textRaffo, Guilherme Vianna, Jean-Marie Farines, Leandro Buss Becker, and Ubirajara Franco Moreno. "Tutorial 1: Mobile Robotics." In 2011 Brazilian Symposium on Computing System Engineering (SBESC). IEEE, 2011. http://dx.doi.org/10.1109/sbesc.2011.51.
Full textDeo, Akhil, and Peter Kazanzides. "Feasibility of Mobile Application for Surgical Robot Teleoperation." In THE HAMLYN SYMPOSIUM ON MEDICAL ROBOTICS. The Hamlyn Centre, Imperial College London London, UK, 2023. http://dx.doi.org/10.31256/hsmr2023.63.
Full textSantos, Jose, Alisa N. Gilmore, Michael Hempel, and Hamid Sharif. "Behavior-based robotics programming for a mobile robotics ECE course using the CEENBoT mobile robotics platform." In 2017 IEEE International Conference on Electro Information Technology (EIT). IEEE, 2017. http://dx.doi.org/10.1109/eit.2017.8053431.
Full textNagchaudhuri, Abhijit. "Experience With Introducing Robotics Toolbox for MATLAB in a Senior Level Undergraduate Course." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-12838.
Full textSong, Chunlin, Cheng Chen, and Naigang Cui. "Autonomous Navigation and Mapping for Mobile Robot in Unknown Environment Using Line Segments." In ASME 2016 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/isps2016-9560.
Full textReports on the topic "Mobile robotics"
Li, Huan, John Sweeney, Krithi Ramamritham, Roderic Grupen, and Prashant Shenoy. Real-Time Support for Mobile Robotics. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada438794.
Full textLeonard, John J. Cooperative Autonomous Mobile Robots. Fort Belvoir, VA: Defense Technical Information Center, July 2005. http://dx.doi.org/10.21236/ada463215.
Full textBroderick, Timothy J. High Altitude Platforms Mobile Robotic Telesurgery (HAPsMRT). Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada471041.
Full textFang, Mei Lan, Judith Sixsmith, Jacqui Morris, Chris Lim, Morris Altman, Hannah Loret, Rayna Rogowsky, Andrew Sixsmith, Rebecca White, and Taiuani Marquine Raymundo. AgeTech, Ethics and Equity: Towards a Cultural Shift in AgeTech Ethical Responsibility. University of Dundee, 2023. http://dx.doi.org/10.20933/100001292.
Full textSuzuki, Ichiro. Distributed Methods for Controlling Multiple Mobile Robots. Fort Belvoir, VA: Defense Technical Information Center, April 1994. http://dx.doi.org/10.21236/ada283919.
Full textSugihara, Kazuo, and Ichiro Suzuki. Distributed Algorithms for Controlling Multiple Mobile Robots. Fort Belvoir, VA: Defense Technical Information Center, January 1994. http://dx.doi.org/10.21236/ada283975.
Full textShneier, Michael, and Roger Bostelman. Literature Review of Mobile Robots for Manufacturing. National Institute of Standards and Technology, May 2015. http://dx.doi.org/10.6028/nist.ir.8022.
Full textBarraquand, Jerome, and Jean-Claude Latombe. Controllability of Mobile Robots with Kinematic Constraints. Fort Belvoir, VA: Defense Technical Information Center, June 1990. http://dx.doi.org/10.21236/ada326998.
Full textGraves, Kevin P. Continuous Localization and Navigation of Mobile Robots. Fort Belvoir, VA: Defense Technical Information Center, May 1997. http://dx.doi.org/10.21236/ada418467.
Full textOlson, Edwin. JOMAR: Joint Operations with Mobile Autonomous Robots. Fort Belvoir, VA: Defense Technical Information Center, December 2015. http://dx.doi.org/10.21236/ada635952.
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