Academic literature on the topic 'Navigation of robotic devices'
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Journal articles on the topic "Navigation of robotic devices"
Stone, Richard T., Ann Bisantz, James Llinas, and Victor Paquet. "Improving Tele-robotic Navigation through Augmented Reality Devices." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 53, no. 18 (October 2009): 1432–36. http://dx.doi.org/10.1177/154193120905301856.
Full textPANCALDI, Lucio, and Mahmut Selman SAKAR. "Flow Driven Robotic Navigation of Endovascular Microscopic Devices." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2021.7 (2021): OS1–5. http://dx.doi.org/10.1299/jsmeicam.2021.7.os1-5.
Full textMenon, S. R., S. G. Kapoor, and R. B. Blackmon. "Navigation planning for mobile robotic devices in modular warehouses." International Journal of Advanced Manufacturing Technology 3, no. 4 (August 1988): 47–62. http://dx.doi.org/10.1007/bf02601833.
Full textHersh, Marion A., and Michael A. Johnson. "A Robotic Guide for Blind People. Part 1. A Multi-National Survey of the Attitudes, Requirements and Preferences of Potential End-Users." Applied Bionics and Biomechanics 7, no. 4 (2010): 277–88. http://dx.doi.org/10.1155/2010/252609.
Full textKrieg, Sandro M., and Bernhard Meyer. "First experience with the jump-starting robotic assistance device Cirq." Neurosurgical Focus 45, videosuppl1 (July 2018): V3. http://dx.doi.org/10.3171/2018.7.focusvid.18108.
Full textKamburugamuve, 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.
Full textGopesh, Tilvawala, Jessica H. Wen, David Santiago-Dieppa, Bernard Yan, J. Scott Pannell, Alexander Khalessi, Alexander Norbash, and James Friend. "Soft robotic steerable microcatheter for the endovascular treatment of cerebral disorders." Science Robotics 6, no. 57 (August 18, 2021): eabf0601. http://dx.doi.org/10.1126/scirobotics.abf0601.
Full textShabayek, Abd El Rahman, Olivier Morel, and David Fofi. "Polarization-based Robot Orientation and Navigation." International Journal of Systems Biology and Biomedical Technologies 3, no. 1 (January 2015): 73–89. http://dx.doi.org/10.4018/ijsbbt.2015010104.
Full textPerez, Elisa, Carlos Soria, Oscar Nasisi, Teodiano Freire Bastos, and Vicente Mut. "Robotic wheelchair controlled through a vision-based interface." Robotica 30, no. 5 (August 8, 2011): 691–708. http://dx.doi.org/10.1017/s0263574711000919.
Full textDuke, Jennifer D., and Janani Reisenauer. "Review: Technology and Techniques for Robotic-assisted Bronchoscopy." Journal of Lung Health and Diseases 6, no. 1 (April 6, 2022): 1–5. http://dx.doi.org/10.29245/2689-999x/2022/1.1179.
Full textDissertations / Theses on the topic "Navigation of robotic devices"
Синєгуб, Олександр Олександрович. "Інтелектуальна система прийняття рішень роботизованого пристрою в розумному домі." Master's thesis, КПІ Ім. Ігоря Сiкорського, 2019. https://ela.kpi.ua/handle/123456789/31707.
Full textThe diploma project on the theme: "The system for monitoring the safe movement of robotized devices and systems in the SH" contains 80 pages of text, drawings - 21 , tables - 10 , sources - 15 and 7 attachments. The urgency of the topic of the project is dictated by the fact that in recent years people increasingly make their homes "smart". This is due to the fact that the systems of this building can save time, increase the level of comfort and increase the safety of the user. However, along with the integration of robotized systems and devices, there is a question of the safety of their functionality in the environment where they work. In particular, there is a problem of the safe movement of mobile devices in the "smart house", where they can cause damage to themselves and property of owners, not to mention the health of the users themselves. A solution to these problems may be a single monitoring system for the safe movement of robotic devices in the SH, which will monitor the positions of robots, lay a safe route and report it. The purpose of this project is to develop a monitoring system to ensure the safe movement of robots in the smart house. Object - methods and means of determining the location and possible path of moving robotic devices and systems of different types in conditions of space constraints and the presence of obstacles. Subject - algorithms for monitoring location and laying safe routes for robotic devices and systems in SH.
Kirimlioglu, Serdar. "Multisensor Dead Reckoning Navigation On A Tracked Vehicle Using Kalman Filter." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614939/index.pdf.
Full textsome other sensors aid the navigation calculations. The aiding or fusion of sensors is accomplished via Kalman filter. In this thesis, a navigation algorithm and a sensor fusion algorithm were written. The sensor fusion algorithm is based on estimation of IMU errors by use of a Kalman filter. The design of Kalman filter is possible after deriving the mathematical model of error propagation of mechanization equations. For the sensor fusion, an IMU, two incremental encoders and a digital compass were utilized. The digital compass outputs the orientation data directly (without integration). In order to find the position, encoder data is calculated in dead reckoning sense. The sensor triplet aids the IMU which calculates position data by integrations. In order to mount these four sensors, an unmanned tracked vehicle prototype was manufactured. For data acquisition, an xPC&ndash
Target system was set. After planning the test procedure, the tests were performed. In the tests, different paths for different sensor fusion algorithms were experimented. The results were recorded in a computer and a number of figures were plotted in order to analyze the results. The results illustrate the benefit of sensor fusion and how much feedback sensor fusion is better than feed forward sensor fusion.
Moore, Justin C. "Robotic navigation of smooth contours." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40449.
Full textIncludes bibliographical references (leaf 10).
The goal of this work is to develop a method for robotic navigation of smooth contours depending on the current and desired locations and orientations. Efficient trajectory generation is an essential capability for many autonomous mobile robots, operating in a variety of situations such as military, medical, and home environments. In this thesis, we propose a method that is based on fitting a spline curve that passes from the initial position and orientation of the robot to a goal position and orientation. The spline is continually recomputed as the robot moves through space. This yields a simple and inefficient method for robot navigation. The method has been implemented and tested in simulation using Matlab and good performance has been demonstrated. Future work should perform experiments with this method on a real robot and should introduce obstacle detection and avoidance.
by Justin C. Moore.
S.B.
Mills, Euclid Weatley. "Mobile robotic design : robotic colour and accelerometer sensor." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4436.
Full textHsieh, Pin-Chun. "Autonomous robotic wheelchair with collision-avoidance navigation." Texas A&M University, 2008. http://hdl.handle.net/1969.1/86037.
Full textVieira, Miguel Castro Miguéis. "VLC based position etimation for robotic navigation." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/21666.
Full textResumo não disponível
The widespread use of LED as arti cial illumination lead to the development of indoor positioning systems using visible light. On this work we gathered information on strategies and sensors used in visible light positioning (VLP). As such, we propose to estimate a robots position based on visible light communication (VLC) using a prototype developed in previous works. The work was divided in four stages. Initially, we veri ed that the prototype used was suitable to estimate its position. In order to overcome the prototype's limitations, a simulation environment was developed, where similar structures were tested. This allowed the comparison between the results obtained using the prototype and those from the simulator. At last, a noise model was implemented on the simulator to verify its in uence on the position estimation. The results show the viability of implementing VLP using a simple sensor based on a set of photo-diodes placed over a hemispherical dome, yielding a low-cost solution for VLP. When comparing the results obtained with the prototype and the simulator, we veri ed that the response is identical. With the implementation of the noise model, the results show an error of a few centimetres. We concluded that the photo-diodes eld of view is important when the position is estimated. The sensors eld of view should be big enough to intercept others in order to prevent blind spots but not too big since it would lead to errors because all sensors would receive signal.
Gurunathan, Mohan 1975. "Guidance, navigation and control of a robotic fish." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50052.
Full textIncludes bibliographical references (p. 70).
by Mohan Grurnathan.
S.B.and M.Eng.
Bordallo, Micó Alejandro. "Intention prediction for interactive navigation in distributed robotic systems." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28802.
Full textGagne-Roussel, Dave. "Vision-based navigation and control of a robotic vehicle." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27361.
Full textVerstaevel, Nicolas. "Self-organization of robotic devices through demonstrations." Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30060/document.
Full textThe AMAS (Adaptive Multi-Agent Systems) theory proposes to solve complex problems for which there is no known algorithmic solution by self-organization. The self-organizing behaviour of the cooperative agents enables the system to self-adapt to a dynamical environment to maintain the system in a functionality adequate state. In this thesis, we apply the theory to the problematic of control in ambient systems, and more particularly to service robotics. Service robotics is more and more taking part in ambient environment, we talk of ambient robotics. Ambient systems have challenging characteristics, such as openness and heterogeneity, which make the task of control particularly complex. This complexity is increased if we take into account the specific, changing and often contradictory needs of users. This thesis proposes to use the principle of self-organization to design a multi-agent system with the ability to learn in real-time to control a robotic device from demonstrations made by a tutor. We then talk of learning from demonstrations. By observing the activity of the users, and learning the context in which they act, the system learns a control policy allowing to satisfy users. Firstly, we propose a new paradigm to design robotic systems under the name Extreme Sensitive Robotics. The main proposal of this paradigm is to distribute the control inside the different functionalities which compose a system, and to give to each functionality the capacity to self-adapt to its environment. To evaluate the benefits of this paradigm, we designed ALEX (Adaptive Learner by Experiments), an Adaptive Multi-Agent System which learns to control a robotic device from demonstrations. The AMAS approach enables the design of software with emergent functionalities. The solution to a problem emerges from the cooperative interactions between a set of autonomous agents, each agent having only a partial perception of its environment. The application of this approach implies to isolate the different agents involved in the problem of control and to describe their local behaviour. Then, we identify a set of non-cooperative situations susceptible to disturb their normal behaviour, and propose a set of cooperation mechanisms to handle them. The different experimentations have shown the capacity of our system to learn in realtime from the observation of the activity of the user and have enable to highlight the benefits, limitations and perspectives offered by our approach to the problematic of control in ambient systems
Books on the topic "Navigation of robotic devices"
Rose, David. Robotic Devices for the Transit Environment. Washington, D.C.: Transportation Research Board, 2003. http://dx.doi.org/10.17226/24720.
Full textRobotic navigation and mapping with radar. Boston: Artech House, 2012.
Find full textRanade, Sanjay. Jukebox and robotic libraries for computer mass storage. Westport: Meckler, 1992.
Find full textKonermann, Werner, and Rolf Haaker, eds. Navigation und Robotic in der Gelenk- und Wirbelsäulenchirurgie. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55784-2.
Full textGolnaraghi, Mohammed Fari. Chaotic dynamics and control of nonlinear and flexible arm robotic devices. [Ithaca, N. Y.]: Cornell University, 1988.
Find full textBorg, Jonathan M. An industrial robotic system for moving object interception using ideal proportional navigation guidance. Ottawa: National Library of Canada, 2000.
Find full textDahiya, Ravinder S. Robotic Tactile Sensing: Technologies and System. Dordrecht: Springer Netherlands, 2013.
Find full textBayoud, Fadi Atef. Development of a robotic mobile mapping system by vision-aided inertial navigation: A geomatics approach. Zürich: Institut für Geodäsie und Photogrammetrie, Eidgenössische Technische Hochschule Zürich, 2006.
Find full textDevelopment of a robotic mobile mapping system by vision-aided inertial navigation: A geomatics approach. Zürich: Institut für Geodäsie und Photogrammetrie, Eidgenössische Technische Hochschule Zürich, 2006.
Find full textLyndon B. Johnson Space Center. 21st Aerospace Mechanisms Symposium: Proceedings of a symposium cosponsored by National Aeronautics and Space Administration, the California Institute of Technology, and Lockheed Missiles and Space Company, Inc., and hosted by Lyndon B. Johnson Space Center, April 29 - May 1, 1987. Houston, Tex: Lyndon B. Johnson Space Center, 1987.
Find full textBook chapters on the topic "Navigation of robotic devices"
Lopez-Fernandez, Jacobo, Roberto Iglesias, Carlos V. Regueiro, and Fernando E. Casado. "Inertial Navigation with Mobile Devices: A Robust Step Count Model." In ROBOT 2017: Third Iberian Robotics Conference, 666–78. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70833-1_54.
Full textUrdiales, Cristina. "A Dummy’s Guide to Assistive Navigation Devices." In Collaborative Assistive Robot for Mobility Enhancement (CARMEN), 19–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24902-0_2.
Full textVenkatesan, Aradhana M., and Bradford J. Wood. "Advanced Tools and Devices: Navigation Technologies, Automation, and Robotics in Percutaneous Interventions." In Percutaneous Image-Guided Biopsy, 73–83. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8217-8_7.
Full textTurennout, P., and G. Honderd. "Navigation of a Mobile Robot." In Robotic Systems, 415–22. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2526-0_48.
Full textAntsev, Georgy V., and Valentine A. Sarychev. "Homing Devices." In Aerospace Navigation Systems, 202–43. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119163060.ch7.
Full textWitek, Tadeusz D., Matthew S. Vercauteren, and Inderpal S. Sarkaria. "Instrumentation, Energy Devices, Staplers." In Robotic Surgery, 285–90. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-53594-0_27.
Full textLindsay, Bruce D., and Oussama Wazni. "Magnetic and Robotic Navigation." In Cardiac Imaging in Electrophysiology, 305–20. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-84882-486-7_21.
Full textPoon, James, and Jaime Valls Miro. "A Multi-modal Utility to Assist Powered Mobility Device Navigation Tasks." In Social Robotics, 300–309. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11973-1_31.
Full textLobo, Jorge, Lino Marques, Jorge Dias, Urbano Nunes, and Aníbal T. de Almeida. "Sensors for mobile robot navigation." In Autonomous Robotic Systems, 50–81. London: Springer London, 1998. http://dx.doi.org/10.1007/bfb0030799.
Full textFrappier, G., P. Lemarquand, and T. Bogaert. "Navigation and Perception Approach of Panorama Project." In Robotic Systems, 391–98. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2526-0_45.
Full textConference papers on the topic "Navigation of robotic devices"
ur-Rehman Muhammad, Saif, Tamer Rabie, and Saleh Suleiman. "A novel wireless mesh network for indoor robotic navigation." In 2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA). IEEE, 2016. http://dx.doi.org/10.1109/icedsa.2016.7818485.
Full textKo, David, Nalaka Kahawatte, and Harry H. Cheng. "Controlling Modular Reconfigurable Robots With Handheld Smart Devices." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48415.
Full textSousa, Frederico Luiz Martins de, Natália F. de C. Meira, Ricardo Augusto Rabelo Oliveira, and Mateus Coelho Silva. "Deep-Learning-Based Visual Odometry Models for Mobile Robotics." In Anais Estendidos do Simpósio Brasileiro de Engenharia de Sistemas Computacionais. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sbesc_estendido.2021.18504.
Full textMahmud, Mufti, David Hawellek, and Alessandra Bertoldo. "EEG based brain-machine interface for navigation of robotic device." In EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2010). IEEE, 2010. http://dx.doi.org/10.1109/biorob.2010.5627015.
Full textGuo, Shuxiang, Mingyang Qin, Nan Xiao, Yuan Wang, Weili Peng, and Xianqiang Bao. "High precise haptic device for the robotic catheter navigation system." In 2016 IEEE International Conference on Mechatronics and Automation. IEEE, 2016. http://dx.doi.org/10.1109/icma.2016.7558963.
Full textJin, Lingqiu, He Zhang, and Cang Ye. "A Wearable Robotic Device for Assistive Navigation and Object Manipulation." In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2021. http://dx.doi.org/10.1109/iros51168.2021.9636126.
Full textCrassidis, Agamemnon, Wayne W. Walter, Douglas A. Carr, and Erin Long. "An Intelligent Robotic System Platform for Autonomous Mapping and Sensor Data Gathering of Non-GPS Friendly Environments." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79140.
Full textSun, Yu, Haiyun Chen, Zhongliang Jiang, Peng Gao, Ying Hu, and Peng Zhang. "Respiratory Compensation System in Spinal Surgery." In 2017 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dmd2017-3307.
Full textChami, Mohammad, and Holger Voos. "A MATLAB-Based Application Development Using a 3D PMD Camera for a Mobile Robot." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47873.
Full textBriot, Se´bastien, Ce´dric Baradat, Sylvain Gue´gan, and Vigen Arakelian. "Contribution to the Mechanical Behavior Improvement of the Robotic Navigation Device Surgiscope®." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35067.
Full textReports on the topic "Navigation of robotic devices"
Pizlo, Zygmunt, and Longin J. Latecki. Robotic Navigation Emulating Human Performance. Fort Belvoir, VA: Defense Technical Information Center, March 2012. http://dx.doi.org/10.21236/ada566161.
Full textLennon, Craig, Barry Bodt, Marshal Childers, Jean Oh, Arne Suppe, Luis Navarro-Serment, Robert Dean, Terrence Keegan, Chip Diberardino, and Menglong Zhu. An Integrated Assessment of Progress in Robotic Perception and Semantic Navigation. Fort Belvoir, VA: Defense Technical Information Center, September 2015. http://dx.doi.org/10.21236/ada621666.
Full textRedden, Elizabeth S., Rodger A. Pettitt, Christian B. Carstens, Linda R. Elliott, and Dave Rudnick. Scaling Robotic Displays: Visual and Multimodal Options for Navigation by Dismounted Soldiers. Fort Belvoir, VA: Defense Technical Information Center, January 2009. http://dx.doi.org/10.21236/ada494188.
Full textLei, Kai, LiMing Liu, Xin Chen, JiangMing Luo, Qing Feng, Liu Yang, and Lin Guo. Comparative efficacy of Robotic-assisted, Navigation-assisted, Patient-specific-instrumentation-assisted, and conventional techniques in Total Knee Arthroplasty: Protocol for a network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2020. http://dx.doi.org/10.37766/inplasy2020.6.0018.
Full textBurks, Thomas F., Victor Alchanatis, and Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, October 2009. http://dx.doi.org/10.32747/2009.7591739.bard.
Full textVelázquez López, Noé. Working Paper PUEAA No. 7. Development of a farm robot (Voltan). Universidad Nacional Autónoma de México, Programa Universitario de Estudios sobre Asia y África, 2022. http://dx.doi.org/10.22201/pueaa.005r.2022.
Full textSemerikov, Serhiy O., Mykhailo M. Mintii, and Iryna S. Mintii. Review of the course "Development of Virtual and Augmented Reality Software" for STEM teachers: implementation results and improvement potentials. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4591.
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