Relevant bibliographies by topics / Autonomous robot system

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Autonomous robot system'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Autonomous robot system"

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Ishihara, Hidenori, and Toshio Fukuda. "Micro Autonomous Robotic System." Journal of Robotics and Mechatronics 11, no. 5 (1999): 443–47. http://dx.doi.org/10.20965/jrm.1999.p0443.

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Miniaturized autonomous robots have been developed by several research groups. The miniaturized autonomous robot is defined as a miniaturized closed-loop system with microprocessors, microactuators, and microsensors. We developed a micro autonomous robot (MARS) consisting of a microprocessor, microsensors, microactuators, communication units, and batteries. MARS controls itself by a downloaded program supplied through infrared communication. We demonstrate performance of MARS, and discuss system features.
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Muda, Nur Rachman Supadmana, Nugraha Gumilar, R. Djoko Andreas Navalino, Tirton N, and M. Iman Hidayat. "Implementation of Autonomous Control System of The Chain Wheel Robot Using the Backpropagation Artificial Neural Network (ANN) Methods." Volume 5 - 2020, Issue 8 - August 5, no. 8 (2020): 1230–35. http://dx.doi.org/10.38124/ijisrt20aug688.

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The purpose of this research is to implement the Artificial Neural Network (ANN) method in combat robots so it can be directed to shoot targets well. The robot control system uses remote control and autonomous. In the autonomous robot system, ANN back propagation method is applied, where the weight value variable depends on ultrasonic sensor, GPS and camera. The microcontroller system will process automatically depending on the sensor input. Output data is used to direct the robot to the target, tracking and shooting. Robot is used chain wheel systems and weapons that used pistol types. The ri
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Han, Dong Qi, and Jin Li. "Design of Cleaning Robot Autonomous Charging System." Advanced Materials Research 722 (July 2013): 497–502. http://dx.doi.org/10.4028/www.scientific.net/amr.722.497.

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A system of cleaning robots independent charge containing hardware system and software system is designed. The hardware circuit of charging station includes a power supply circuit, the battery constant current charging circuit of charging current which can be regulated by the hardware and software, position coding signal transmitting circuit. This paper also presents a new independent charging algorithm that the robot can search automatically charging station using the random walk model in unknown environment, so that the robot have the ability to find independently the charging station. The r
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BARNES, NICK, and ZHI-QIANG LIU. "VISION GUIDED CIRCUMNAVIGATING AUTONOMOUS ROBOTS." International Journal of Pattern Recognition and Artificial Intelligence 14, no. 06 (2000): 689–714. http://dx.doi.org/10.1142/s0218001400000489.

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We present a system for vision guided autonomous circumnavigation, allowing a mobile robot to navigate safely around objects of arbitrary pose, and avoid obstacles. The system performs model-based object recognition from an intensity image. By enabling robots to recognize and navigate with respect to particular objects, this system empowers robots to perform deterministic actions on specific objects, rather than general exploration and navigation as emphasized in much of the current literature. This paper describes a fully integrated system, and, in particular, introduces canonical-views. Furt
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Sun, Jifeng, Tadashi Nagata, and Kenji Kurosu. "Cooperative Behavior of a Schedule-Based Distributed Autonomous Robotic System." Journal of Robotics and Mechatronics 6, no. 2 (1994): 162–68. http://dx.doi.org/10.20965/jrm.1994.p0162.

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A scheduling method for distributed autonomous robotic systems (DRS) is proposed. Given the global task for a DRS, each robot generates a subtask according to the global load of the whole system and the partial capacity of individual robots. The determined schedule is then executed by a sign-board inter-robot communication. Some experiments of a three-robot system are performed using the proposed method.
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BESSEGHIEUR, Khadir, Wojciech KACZMAREK, and Jarosław PANASIUK. "Multi-robot Control via Smart Phone and Navigation in Robot Operating System." Problems of Mechatronics Armament Aviation Safety Engineering 8, no. 4 (2017): 37–46. http://dx.doi.org/10.5604/01.3001.0010.7316.

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Robot Operating System (ROS) is an open source robot software framework which provides several libraries and tools to easily conduct different robot applications like autonomous navigation and robot teleoperation. Most of the available packages across the ROS community are addressed for controlling a single robot. In this paper, we aim to extend some packages so, they can be used in multi-robot applications on ROS. Mainly, the multi-robot autonomous navigation and multi-robot smart phone teleoperation are addressed in this work. After being extended and compiled, the new packages are assessed
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Okina, Shinnosuke, Kuniaki Kawabata, Teruo Fujii, Yasuharu Kunii, Hajime Asama, and Isao Endo. "Self-diagnosis System of an Autonomous Mobile Robot Using Sensory Information." Journal of Robotics and Mechatronics 12, no. 2 (2000): 72–77. http://dx.doi.org/10.20965/jrm.2000.p0072.

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In this paper, we describe a basic sensing system for self-diagnosing an autonomous mobile robot. In recent years, many researches on intelligent robots and systems have been done. But, when such robots and systems work in the real environment, it is important for those robots and systems to have the ability to recognize their own conditions for detecting faults. On the point of view, we should consider pay more attention to diagnose in such intelligent systems. Therefore we try to construct an internal sensing system as a self-diagnosis system on a real robot. Especially, in this paper, we di
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Valliappan, Karthik C*, and Vikram R. "Autonomous Indoor Navigation for Mobile Robots." Regular issue 10, no. 7 (2021): 122–26. http://dx.doi.org/10.35940/ijitee.g9038.0510721.

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An autonomous navigation system for a robot is key for it to be self-reliant in any given environment. Precise navigation and localization of robots will minimize the need for guided work areas specifically designed for the utilization of robots. The existing solution for autonomous navigation is very expensive restricting its implementation to satisfy a wide variety of applications for robots. This project aims to develop a low-cost methodology for complete autonomous navigation and localization of the robot. For localization, the robot is equipped with an image sensor that captures reference
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Noritsugu, Toshiro, and Hiroyuki Inoue. "Cooperative Control of Human-Robot System Using Fuzzy Reasoning." Journal of Robotics and Mechatronics 7, no. 1 (1995): 69–74. http://dx.doi.org/10.20965/jrm.1995.p0069.

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The present autonomous control robots are technically difficult to introduce into unknown working environments. A cooperative control approach between human and robot may be an effective approach for complex and uncertain tasks. This study develops a new cooperative control approach between human and robot by using a fuzzy reasoning and handles force control under the uncertain working environments. The proposed control approach can achieve three control modes: manual, cooperative, and autonomous control, one of which can be automatically chosen by the operator through fuzzy reasoning. Fuzzy r
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Rahmadian, Reza, and Mahendra Widyartono. "Harvesting System for Autonomous Robotic in Agriculture: A Review." INAJEEE Indonesian Journal of Electrical and Eletronics Engineering 2, no. 1 (2019): 1. http://dx.doi.org/10.26740/inajeee.v2n1.p1-6.

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Technology in the modern day has led to the development of agricultural robots that helps to increase the agriculture productivity. Numerous research has been conducted to help increasing the capability of the robot in assisting agricultural operation, which leads to development of autonomous robot. The development aim is to help reducing agriculture’s dependency on operators, workers, also reducing the inaccuracy caused by human errors. There are two important development components for autonomous harvesting. The first component is Machine vision for detecting the crops and guiding the robot
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Dissertations / Theses on the topic "Autonomous robot system"

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McNeal, William B. "Simulation of the autonomous combat systems robot optical detection system." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA342228.

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Thesis (M.S. in Applied Physics) Naval Postgraduate School, December 1997.<br>"December 1997." Thesis advisor(s): Gordon Schacher, Donald Brutzman. Includes bibliographical references (p. 131). Also available online.
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Kurita, Hiroki. "AUTONOMOUS UNLOADING SYSTEM FOR HEAD-FEEDING COMBINE ROBOT." Kyoto University, 2013. http://hdl.handle.net/2433/180370.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(農学)<br>甲第17832号<br>農博第2017号<br>新制||農||1016(附属図書館)<br>学位論文||H25||N4789(農学部図書室)<br>30647<br>京都大学大学院農学研究科地域環境科学専攻<br>(主査)教授 飯田 訓久, 教授 近藤 直, 教授 清水 浩<br>学位規則第4条第1項該当
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Vaughan, Richard. "Experiments in animal-interactive robotics." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325617.

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Mikhalsky, Maxim. "Efficient biomorphic vision for autonomous mobile robots." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16206/.

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Autonomy is the most enabling and the least developed robot capability. A mobile robot is autonomous if capable of independently attaining its objectives in unpredictable environment. This requires interaction with the environment by sensing, assessing, and responding to events. Such interaction has not been achieved. The core problem consists in limited understanding of robot autonomy and its aspects, and is exacerbated by the limited resources available in a small autonomous mobile robot such as energy, information, and space. This thesis describes an efficient biomorphic visual capabi
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Hughes, Bradley Evan. "A Navigation Subsystem for an Autonomous Robot Lawn Mower." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1312391797.

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Cowling, Michael, and n/a. "Non-Speech Environmental Sound Classification System for Autonomous Surveillance." Griffith University. School of Information Technology, 2004. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20040428.152425.

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Sound is one of a human beings most important senses. After vision, it is the sense most used to gather information about the environment. Despite this, comparatively little research has been done into the field of sound recognition. The research that has been done mainly centres around the recognition of speech and music. Our auditory environment is made up of many sounds other than speech and music. This sound information can be taped into for the benefit of specific applications such as security systems. Currently, most researchers are ignoring this sound information. This thesis investigat
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Hung, David, Cinthya Tang, Coby Allred, Kennon McKeever, James Murphy, and Ricky Herriman. "AUTONOMOUS GROUND RECONNAISSANCE DRONE USING ROBOT OPERATING SYSTEM (ROS)." International Foundation for Telemetering, 2017. http://hdl.handle.net/10150/627005.

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The Arizona Autonomous Club is a student organization at the University of Arizona which designs, builds, and competes with Unmanned Air Systems (UAS). This year, a 25% scale Xtreme Decathlon model aircraft was selected and successfully converted into a fully autonomous UAS for the AUVSI Student Unmanned Aerial Systems (SUAS) 2017 competition. The UAS utilizes a Pixhawk autopilot unit, which is an independent, open-hardware project aiming at providing high-end autopilot hardware at low costs and high availability. The Pixhawk runs an efficient real time operating system (RTOS) and includes sen
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AL-Buraiki, Omar S. M. "Specialized Agents Task Allocation in Autonomous Multi-Robot Systems." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41504.

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With the promise to shape the future of industry, multi-agent robotic technologies have the potential to change many aspects of daily life. Over the coming decade, they are expected to impact transportation systems, military applications such as reconnaissance and surveillance, search-and-rescue operations, or space missions, as well as provide support to emergency first responders. Motivated by the latest developments in the field of robotics, this thesis contributes to the evolution of the future generation of multi-agent robotic systems as they become smarter, more accurate, and diversifi
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Paul, André. "Design of an autonomous navigation system for a mobile robot." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99565.

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An autonomous navigational system for a mobile robot was developed based on a Laser-Range-Finder-based path planning and navigational algorithms. The system was enhanced by incorporating collision avoidance algorithms using data from a sonar sensor array, and further improved by establishing two virtual regions in front of the robot for obstacle detection and avoidance. Several virtual detector bands with varying dimensions were also added to the sides of the robot to check for rotational clearance safety and to determine the direction of rotation. The autonomous navigational system was tested
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Qiu, Yesiliang. "Autonomous Tick Collection Robot: Platform Development and Driving System Control." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1613752543210849.

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Books on the topic "Autonomous robot system"

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McNeal, William B. Simulation of the autonomous combat systems robot optical detection system. Naval Postgraduate School, 1997.

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Remias, Leonard V. A real-time image understanding system for an autonomous mobile robot. Naval Postgraduate School, 1996.

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Fish, Robert W. An expert system for high level motion control for an autonomous mobile robot. Naval Postgraduate School, 1993.

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Lochner, Jane Thayer. Analysis and improvement of an ultrasonic sonar system on an autonomous mobile robot. Naval Postgraduate School, 1994.

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Maria, Gini, and Voyles Richard, eds. Distributed Autonomous Robotic Systems 7. Springer, 2006.

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Ageev, M. D. Avtonomnye podvodnye roboty: Sistemy i tekhnologii = Autonomous underwater robots : systems and technology. Nauka, 2005.

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International, Conference on Intelligent Autonomous Systems (7th 2002 Marina del Rey Calif ). Intelligent autonomous systems 7. IOS Press, 2002.

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Miller, Richard Kendall. Survey on autonomous vehicle guidance systems. Future Technology Surveys, 1989.

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Berns, Karsten, Syed Atif Mehdi, and Muhammad Abubakr. Field and assistive robotics: Advances in systems and algorithms. Shaker Verlag, 2014.

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Alami, Rachid. Distributed Autonomous Robotic Systems 6. Springer, 2007.

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Book chapters on the topic "Autonomous robot system"

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Hongo, Takero, Hideo Arakawa, Gunji Sugimoto, Koichi Tange, and Yuzo Yamamoto. "An Automatic Guidance System of a Self-Controlled Vehicle." In Autonomous Robot Vehicles. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8997-2_3.

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Eiben, Agoston E., Emma Hart, Jon Timmis, Andy M. Tyrrell, and Alan F. Winfield. "Towards Autonomous Robot Evolution." In Software Engineering for Robotics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66494-7_2.

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AbstractWe outline a perspective on the future of evolutionary robotics and discuss a long-term vision regarding robots that evolve in the real world. We argue that such systems offer significant potential for advancing both science and engineering. For science, evolving robots can be used to investigate fundamental issues about evolution and the emergence of embodied intelligence. For engineering, artificial evolution can be used as a tool that produces good designs in difficult applications in complex unstructured environments with (partially) unknown and possibly changing conditions. This implies a new paradigm, second-order software engineering, where instead of directly developing a system for a given application, we develop an evolutionary system that will develop the target system for us. Importantly, this also holds for the hardware; with a complete evolutionary robot system, both the software and the hardware are evolved. In this chapter, we discuss the long-term vision, elaborate on the main challenges, and present the initial results of an ongoing research project concerned with the first tangible implementation of such a robot system.
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Giralt, Georges, Raja Chatila, and Marc Vaisset. "An Integrated Navigation and Motion Control System for Autonomous Multisensory Mobile Robots." In Autonomous Robot Vehicles. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8997-2_31.

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Kedem, K., and M. Sharir. "An Automatic Motion Planning System for a Convex Polygonal Mobile Robot in 2-Dimensional Polygonal Space." In Autonomous Robot Vehicles. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8997-2_26.

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Shinjoh, Atsushi, and Shigeki Yoshida. "Autonomous Information Indication System." In RoboCup-99: Robot Soccer World Cup III. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45327-x_40.

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Dubrawski, Artur, and Henry Thorne. "Evolution of a Useful Autonomous System." In Robot Motion and Control 2009. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-985-5_42.

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Ahmadabadi, M. Nili, and Eiji Nakano. "Robot Behavior and Information System for Multiple Object Handling Robots." In Distributed Autonomous Robotic Systems 2. Springer Japan, 1996. http://dx.doi.org/10.1007/978-4-431-66942-5_32.

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Kalyani, Ganesh Kumar, Zhijun Yang, Vaibhav Gandhi, and Tao Geng. "Using Robot Operating System (ROS) and Single Board Computer to Control Bioloid Robot Motion." In Towards Autonomous Robotic Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64107-2_4.

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Ota, Jun, Tamio Arai, and Yoichi Yokogawa. "Distributed Strategy-making Method in Multiple Mobile Robot System." In Distributed Autonomous Robotic Systems. Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68275-2_12.

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Ghenaim, Abdellah, V. Koncar, S. Benamar, and A. Chouar. "Real Time Robot Tracking System with Two Independent Lasers." In Distributed Autonomous Robotic Systems. Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68275-2_7.

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Conference papers on the topic "Autonomous robot system"

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Khan, Muhammad Tahir, and Clarence de Silva. "Immune System-Inspired Dynamic Multi-Robot Coordination." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87715.

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This paper investigates multi-robot coordination for the deployment of autonomous mobile robots in order to carry out a specific task. A key to utilizing of the full potential of cooperative multi-robot systems is effective and efficient multi-robot coordination. The paper presents a novel method of multi-robot coordination based on an Artificial Immune System. The developed approach relies on Jern’s Immune Network Theory, which concerns how an antibody stimulates or suppresses another antibody and recognizes non-self antigens. In the present work, the robots are analogous to antibodies and th
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Ahern, Samantha J., Jenny Carter, and Paul Wilson. "Autonomous robot retrieval system." In 2015 SAI Intelligent Systems Conference (IntelliSys). IEEE, 2015. http://dx.doi.org/10.1109/intellisys.2015.7361155.

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Obdrz;alek, David. "Small autonomous robot localization system." In 2009 7th IEEE Student Conference on Research and Development (SCOReD 2009). IEEE, 2009. http://dx.doi.org/10.1109/scored.2009.5442972.

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Bahl, V., and K. L. Moore. "Multi-robot autonomous parking security system." In Proceedings of the 2003 IEEE International Symposium on Intelligent Control. IEEE, 2003. http://dx.doi.org/10.1109/isic.2003.1254727.

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Joshi, Maulin M., and Mukesh A. Zaveri. "Fuzzy Based Autonomous Robot Navigation System." In 2009 Annual IEEE India Conference. IEEE, 2009. http://dx.doi.org/10.1109/indcon.2009.5409419.

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Varabin, Denis, and Dmitry Bagaev. "Autonomous system "car robot"." In 2012 IV International Conference "Problems of Cybernetics and Informatics" (PCI). IEEE, 2012. http://dx.doi.org/10.1109/icpci.2012.6486325.

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Wang, Ya, and Jianhua Zhang. "Autonomous Air Duct Cleaning Robot System." In 2006 49th IEEE International Midwest Symposium on Circuits and Systems. IEEE, 2006. http://dx.doi.org/10.1109/mwscas.2006.382110.

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King, Steven J., and Carl F. R. Weiman. "HelpMate autonomous mobile robot navigation system." In Fibers '91, Boston, MA, edited by Wendell H. Chun and William J. Wolfe. SPIE, 1991. http://dx.doi.org/10.1117/12.48088.

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Putov, A. V., E. V. Ilatovskaya, and M. M. Kopichev. "Self-balancing Robot Autonomous Control System." In 2021 10th Mediterranean Conference on Embedded Computing (MECO). IEEE, 2021. http://dx.doi.org/10.1109/meco52532.2021.9459720.

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Raghavan, Vikraman, and Mo Jamshidi. "Sensor Fusion Based Autonomous Mobile Robot Navigation." In 2007 IEEE International Conference on System of Systems Engineering. IEEE, 2007. http://dx.doi.org/10.1109/sysose.2007.4304295.

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Reports on the topic "Autonomous robot system"

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Bartos, R. J. System safety analysis of an autonomous mobile robot. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10170290.

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Christie, Benjamin, Osama Ennasr, and Garry Glaspell. Autonomous navigation and mapping in a simulated environment. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42006.

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Unknown Environment Exploration (UEE) with an Unmanned Ground Vehicle (UGV) is extremely challenging. This report investigates a frontier exploration approach, in simulation, that leverages Simultaneous Localization And Mapping (SLAM) to efficiently explore unknown areas by finding navigable routes. The solution utilizes a diverse sensor payload that includes wheel encoders, three-dimensional (3-D) LIDAR, and Red, Green, Blue and Depth (RGBD) cameras. The main goal of this effort is to leverage frontier-based exploration with a UGV to produce a 3-D map (up to 10 cm resolution). The solution pr
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Nicolescu, Monica, Mircea Nicolescu, and Sushil Louis. Context-Based Intent Understanding for Autonomous Systems in Naval and Collaborative Robot Applications. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada592713.

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Gage, Douglas W. Proceedings of the Autonomous Vehicles in Mine Countermeasures Symposium, Monterey CA, 4-7 April 1995 Many-Robot MCM Search Systems. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada422749.

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