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Relevant bibliographies by topics / Mobile robots. Robots

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Academic literature on the topic 'Mobile robots. Robots'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Mobile robots. Robots"

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Yu, Zhong Hai. "Generic Technology of Home Service Robot." Applied Mechanics and Materials 121-126 (October 2011): 3330–34. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.3330.

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The paper briefly looks back on current research situation of home service robots. It takes a home nursing robot as example to study and discuss some key generic technologies of home service robots. It generally overviewed robot’s mobile platform technology, modular design, reconfigurable robot technique, motion control, sensor technologies, indoor robot’s navigation and localization technology indoor, intelligentization, and robot’s technology standardization. Some the measures of technology standardization of home service robots have been put forward. It has realistic signification for indus

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Akai, Naoki, Yasunari Kakigi, Shogo Yoneyama, and Koichi Ozaki. "Development of Autonomous Mobile Robot that Can Navigate in Rainy Situations." Journal of Robotics and Mechatronics 28, no. 4 (2016): 441–50. http://dx.doi.org/10.20965/jrm.2016.p0441.

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[abstFig src='/00280004/02.jpg' width='300' text='Navigation under strong rainy condition' ] The Real World Robot Challenge (RWRC), a technical challenge for mobile outdoor robots, has robots automatically navigate a predetermined path over 1 km with the objective of detecting specific persons. RWRC 2015 was conducted in the rain and every robot could not complete the mission. This was because sensors on the robots detected raindrops and the robots then generated unexpected behavior, indicating the need to study the influence of rain on mobile navigation systems – a study clearly not yet suffi

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Ma, Xi Pei, Bing Feng Qian, Song Jie Zhang, and Ye Wang. "Research on Technology and Application of Multi-Sensor Data Fusion for Indoor Service Robots." Applied Mechanics and Materials 651-653 (September 2014): 831–34. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.831.

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The autonomous navigation process of a mobile service robot is usually in uncertain environment. The information only given by sensors has been unable to meet the demand of the modern mobile robots, so multi-sensor data fusion has been widely used in the field of robots. The platform of this project is the achievement of the important 863 Program national research project-a prototype nursing robot. The aim is to study a mobile service robot’s multi-sensor information fusion, path planning and movement control method. It can provide a basis and practical use’s reference for the study of an indo

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Sasaki, Tohru, Takayuki Ushimaru, Takahiro Yamatani, Yusuke Ikemoto, and Haruki Obara. "Pivot Turning Measurement of Relative Position and Posture for Moving Robots System Using Stereo-Camera." Key Engineering Materials 523-524 (November 2012): 895–900. http://dx.doi.org/10.4028/www.scientific.net/kem.523-524.895.

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The stereo-camera method is used to measure the positions of robots. In taking the measurements it is important to precisely measure the distance between cameras and the relative posture of the cameras. Therefore, we developed a novel method for measuring a mobile robot's relative position and posture by photographing robots’ pivot turns. A mobile robot system was equipped with a camera and an identification marker that made it possible to measure position and posture with the stereo-camera method when the viewpoint changed freely. One robot photographs the pivot turns of another. As the latte

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Uchiyama, Naoki, Shigenori Sano, and Akihiro Yamamoto. "Sound source tracking considering obstacle avoidance for a mobile robot." Robotica 28, no. 7 (2010): 1057–64. http://dx.doi.org/10.1017/s0263574709990919.

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SUMMARYSound source tracking is an important function for autonomous robots, because sound is omni-directional and can be recognized in dark environment. This paper presents a new approach to sound source tracking for mobile robots using auditory sensors. We consider a general type of two-wheeled mobile robot that has wide industrial applications. Because obstacle avoidance is also an indispensable function for autonomous mobile robots, the robot is equipped with distance sensors to detect obstacles in real time. To deal with the robot's nonholonomic constraint and combine information from the

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Fox, D., W. Burgard, and S. Thrun. "Markov Localization for Mobile Robots in Dynamic Environments." Journal of Artificial Intelligence Research 11 (November 23, 1999): 391–427. http://dx.doi.org/10.1613/jair.616.

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Localization, that is the estimation of a robot's location from sensor data, is a fundamental problem in mobile robotics. This papers presents a version of Markov localization which provides accurate position estimates and which is tailored towards dynamic environments. The key idea of Markov localization is to maintain a probability density over the space of all locations of a robot in its environment. Our approach represents this space metrically, using a fine-grained grid to approximate densities. It is able to globally localize the robot from scratch and to recover from localization failur

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Tsubouchi, Takashi. "Introduction to Simultaneous Localization and Mapping." Journal of Robotics and Mechatronics 31, no. 3 (2019): 367–74. http://dx.doi.org/10.20965/jrm.2019.p0367.

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Simultaneous localization and mapping (SLAM) forms the core of the technology that supports mobile robots. With SLAM, when a robot is moving in an actual environment, real world information is imported to a computer on the robot via a sensor, and robot’s physical location and a map of its surrounding environment of the robot are created. SLAM is a major topic in mobile robot research. Although the information, supported by a mathematical description, is derived from a space in reality, it is formulated based on a probability theory when being handled. Therefore, this concept contributes not on

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Cen, Hua, and Bhupesh Kumar Singh. "Nonholonomic Wheeled Mobile Robot Trajectory Tracking Control Based on Improved Sliding Mode Variable Structure." Wireless Communications and Mobile Computing 2021 (June 17, 2021): 1–9. http://dx.doi.org/10.1155/2021/2974839.

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Several research studies are conducted based on the control of wheeled mobile robots. Nonholonomy constraints associated with wheeled mobile robots have encouraged the development of highly nonlinear control techniques. Nonholonomic wheeled mobile robot systems might be exposed to numerous payloads as per the application requirements. This can affect statically or dynamically the complete system mass, inertia, the location of the center of mass, and additional hardware constraints. Due to the nonholonomic and motion limited properties of wheeled mobile robots, the precision of trajectory track

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Trujillo, Juan-Carlos, Rodrigo Munguia, and Antoni Grau. "Aerial Cooperative SLAM for Ground Mobile Robot Path Planning." Engineering Proceedings 6, no. 1 (2021): 65. http://dx.doi.org/10.3390/i3s2021dresden-10164.

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The trajectory planning for ground mobile robots operating in unknown environments can be a difficult task. In many cases, the sensors used for detecting obstacles only provide information about the immediate surroundings, making it difficult to generate an efficient long-term path. For instance, a robot can easily choose to move along a free path that, eventually, will have a dead end. This research is intended to develop a cooperative scheme of visual-based aerial simultaneous localization and mapping (SLAM) that will be used for generating a safe long-term trajectory for a ground mobile rob

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Bock, Gregory A., Ryan T. Hendrickson, Jared Allen Lamkin, Brittany Dhall, Jing Wang, and In Soo Ahn. "Experimental Validation of Distributed Cooperative Control of Multiple Mobile Robots via Local Information Exchange." International Journal of Handheld Computing Research 8, no. 2 (2017): 19–40. http://dx.doi.org/10.4018/ijhcr.2017040102.

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In this paper, we present the experimental testing results of distributed cooperative control algorithms for multiple mobile robots with limited sensing/communication capacity and kinematic constraints. Rendezvous and formation control problems are considered, respectively. To deal with the inherent kinematic constraints with robot model, the input/output linearization via feedback is used to convert the nonlinear robot model into a linear one, and then the distributed cooperative control algorithms are designed via local information exchange among robots. Extensive experiments using Quanser's

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Dissertations / Theses on the topic "Mobile robots. Robots"

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Iagnemma, Karl Dubowsky S. "Mobile robots in rough terrain : estimation, motion planning, and control with application to planetary rovers /." Berlin ; New York : Springer, 2004. http://www.loc.gov/catdir/toc/fy0606/2004106986.html.

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Bertone, Osvaldo Hugo. "Desenvolvimento de uma plataforma universal para aplicações em robôs móveis." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260985.

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Orientador: Marco Antonio Robert Alves<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação<br>Made available in DSpace on 2018-08-21T17:16:48Z (GMT). No. of bitstreams: 1 Bertone_OsvaldoHugo_D.pdf: 7855872 bytes, checksum: ddcb57b633698b4aaa8fa39c681e105f (MD5) Previous issue date: 2012<br>Resumo: Este trabalho visa o desenvolvimento de uma plataforma básica com o propósito de ser-vir de estrutura para aplicações em robôs móveis. Esta plataforma consta de módulos de comunicação para o meio exterior (Bluetooth, WiFi e ZigBee) e com um barr

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Luh, Cheng-Jye 1960. "Hierarchical modelling of mobile, seeing robots." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/276998.

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This thesis describes the implementation of a hierarchical robot simulation environment which supports the design of robots with vision and mobility. A seeing robot model applies a classification expert system for visual identification of laboratory objects. The visual data acquisition algorithm used by the robot vision system has been developed to exploit multiple viewing distances and perspectives. Several different simulations have been run testing the visual logic in a laboratory environment. Much work remains to integrate the vision system with the rest of the robot system.

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Switzer, Barbara T. "Robotic path planning with obstacle avoidance /." Online version of thesis, 1993. http://hdl.handle.net/1850/11712.

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Sorour, Mohamed. "Motion discontinuity-robust controller for steerable wheeled mobile robots." Thesis, Montpellier, 2017. http://www.theses.fr/2017MONTS090/document.

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Les robots mobiles à roues orientables gagnent de la mobilité en employant des roues conventionnelles entièrement orientables, comportant deux joints actifs, un pour la direction et un autre pour la conduite. En dépit d'avoir seulement un degré de mobilité (DOM) (défini ici comme degrés de liberté instantanément autorisés DOF), correspondant à la rotation autour du centre de rotation instantané (ICR), ces robots peuvent effectuer des trajectoires planaires complexes de $ 2D $. Ils sont moins chers et ont une capacité de charge plus élevée que les roues non conventionnelles (par exemple, Sweedi

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Perko, Eric Michael. "Precision Navigation for Indoor Mobile Robots." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1345513785.

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Smith, Brian Stephen. "Automatic coordination and deployment of multi-robot systems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/28248.

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Thesis (M. S.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Dr. Magnus Egerstedt; Committee Co-Chair: Dr. Ayanna Howard; Committee Member: Dr. David Taylor; Committee Member: Dr. Frank Dellaert; Committee Member: Dr. Ian Akyildiz; Committee Member: Dr. Jeff Shamma.

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Tang, 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.

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Baba, Akihiko. "Robot navigation using ultrasonic feedback." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=677.

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Thesis (M.S.)--West Virginia University, 1999.<br>Title from document title page. Document formatted into pages; contains viii, 122 p. : ill. Includes abstract. Includes bibliographical references (p. 57-59).

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Wooden, David T. "Graph-based Path Planning for Mobile Robots." Diss., Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-11092006-180958/.

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Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2007.<br>Magnus Egerstedt, Committee Chair ; Patricio Vela, Committee Member ; Ayanna Howard, Committee Member ; Tucker Balch, Committee Member ; Wayne Book, Committee Member.

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Books on the topic "Mobile robots. Robots"

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M, Flynn Anita, ed. Mobile robots: Inspiration to implementation. A.K. Peters, 1993.

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L, Jones Joseph. Mobile robots: Inspiration to implementation. 2nd ed. A.K. Peters, 1999.

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Buratowski, Tomasz. Mobile robots - selected issues: Mobilne roboty - zagadnienia wybrane. AGH University of science and Technology Press, 2013.

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Cook, Gerald. Mobile Robots. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118026403.

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Mobile robots. Technical Insights, 1988.

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Designing mobile autonomous robots. Elsevier Newnes, 2004.

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Robot cognition and navigation: An experiment with mobile robots. Springer, 2007.

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1970-, Nourbakhsh Illah Reza, and Scaramuzza Davide, eds. Introduction to autonomous mobile robots. 2nd ed. MIT Press, 2011.

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Minimalist mobile robotics: A colony-style architecture for an artificial creature. Academic Press, 1990.

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Duo yi dong ji qi ren xie tong yuan li yu ji shu: Synergy principles and technologies of multi-mobile robots. Guo fang gong ye chu ban she, 2011.

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Book chapters on the topic "Mobile robots. Robots"

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Fahimi, Farbod. "Mobile Robots." In Autonomous Robots. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09538-7_6.

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Poole, Harry H. "Mobile Robots." In Fundamentals of Robotics Engineering. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-011-7050-5_8.

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Todd, D. J. "Mobile Robots." In Fundamentals of Robot Technology. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-011-6768-0_9.

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Mihelj, Matjaž, Tadej Bajd, Aleš Ude, et al. "Mobile Robots." In Robotics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72911-4_13.

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González Rodríguez, Ángel Gaspar, and Antonio González Rodríguez. "Mobile Robots." In Advanced Mechanics in Robotic Systems. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-588-0_3.

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Staicu, Stefan. "Mobile Wheeled Robots." In Parallel Robots: Theory and Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99522-9_11.

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Arrichiello, Filippo. "Multiple Mobile Robots." In Encyclopedia of Systems and Control. Springer London, 2020. http://dx.doi.org/10.1007/978-1-4471-5102-9_100028-1.

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Arrichiello, Filippo. "Multiple Mobile Robots." In Encyclopedia of Systems and Control. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-44184-5_100028.

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Fraser, Gordon, Gerald Steinbauer, Jörg Weber, and Franz Wotawa. "Robust Intelligent Control of Mobile Robots." In Mobile Computing. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-054-7.ch052.

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An appropriate control architecture is a crucial premise for successfully achieving truly autonomous mobile robots. The architecture should allow for a robust control of the robot in complex tasks, while it should be flexible in order to operate in different environments pursuing different tasks. This chapter presents a control framework that is able to control an autonomous robot in complex realworld tasks. The key features of the framework are a hybrid control paradigm that incorporates reactive, planning and reasoning capabilities, a flexible software architecture that enables easy adaptation to new tasks and a robust task execution that makes reaction to unforeseen changes in the task and environment possible. Finally, the framework allows for detection of internal failures in the robot and includes self-healing properties. The framework was successfully deployed in the domain of robotic soccer and service robots. The chapter presents the requirements for such a framework, how the framework tackles the problems arising from the application domains, and results obtained during the deployment of the framework.

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Tzafestas, Spyros G. "Mobile Robots." In Introduction to Mobile Robot Control. Elsevier, 2014. http://dx.doi.org/10.1016/b978-0-12-417049-0.00001-8.

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Conference papers on the topic "Mobile robots. Robots"

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Yao, Albert W. L., and H. T. Liao. "Development of an Intelligent Grey-RSS Navigation System for Mobile Robots." In ASME/ISCIE 2012 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/isfa2012-7175.

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This study aims at developing an intelligent navigation system for mobile robots to eliminate the cumulative errors caused by using a conventional optical encoder. The optical encoder for mobile robots is supplanted by an intelligent Grey-RSS navigation system (IGRNS) with a RFID system embedded with a RSS (Received Signal Strength) location estimator and a Grey predictor for robot rotation angle prediction. The RFID system identifies the target with active RFID tag. The RSS location estimator then calculates the possible route of robot. The Grey controller optimizes the traveling route quickl

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Zhou, Yu. "A Distributed Self-Deployment Algorithm Suitable for Multiple Nonholonomic Mobile Robots." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-50056.

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This paper introduces a novel distributed algorithm for deploying multi-robot systems, consisting of mobile robots with onboard sensing and wireless communication of limited ranges, to approach the desired sensory coverage while maintaining communication connection over targeted 2D environments. A virtual potential energy is defined for each mobile robot according to the difference between the actual and desired configurations in the neighborhood of the robot, which generates the actuating force to move the robot towards the desired local coverage. The Rayleigh’s dissipation function is adopte

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Biswas, Joydeep. "The Quest For "Always-On" Autonomous Mobile Robots." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/893.

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Building ``always-on'' robots to be deployed over extended periods of time in real human environments is challenging for several reasons. Some fundamental questions that arise in the process include: 1) How can the robot reconcile unexpected differences between its observations and its outdated map of the world? 2) How can we scalably test robots for long-term autonomy? 3) Can a robot learn to predict its own failures, and their corresponding causes? 4) When the robot fails and is unable to recover autonomously, can it utilize partially specified, approximate human corrections to overcome its

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Ko, 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.

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Highly reconfigurable modular robots face unique teleoperation challenges due to their geometry, configurability, high number of degrees of freedom and complexity. Current methodology for controlling reconfigurable modular robots typically use gait tables to control the modules. Gait tables are static data structures and do not readily support realtime teleoperation. Teleoperation techniques for traditional wheeled, flying, or submerged robots typically use a set of joysticks to control the robots. However, these traditional methods of robot teleoperation are not suitable for reconfigurable mo

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Mwaffo, Violet, Pietro De Lellis, and Sean Humbert. "Formation Control of Non-Holonomic Mobile Robots Moving on Slippery Surfaces." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3162.

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Abstract In this work, we analyze the decentralized formation control problem for a class of multi-robotic systems evolving on slippery surfaces. Grounded on experimental data of robots moving on a gravel surface inducing slippery, we show that a deterministic model cannot capture the uncertainties resulting from the kinematics of the robots while, instead, a model incorporating stochastic noise is capable of emulating such perturbations on wheel driving speed and turn rate. To account for these uncertainties, we consider a second order non-holonomic unicycle model to capture the full dynamics

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Zhang, Guoxian, and Devendra P. Garg. "Mobile Multi-Robot Control in Target Search and Retrieval." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2196.

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In this paper, the design of a controller is proposed for a multi-robot target search and retrieval system. Inspired by research in insect foraging and swarm robotics, we developed a transition mechanism for the multi-robot system. Environmental information and task performance obtained by the robot system are used to adjust individual robot’s parameters and guide environment exploration. The proposed control system is applicable in the solution of multi-target problem also where several robots may be needed to cooperate together to retrieve a large target. Simulations show that the task perfo

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Jin, Xin, Kushal Mukherjee, Shalabh Gupta, and Asok Ray. "Wavelet-Based Feature Extraction for Behavior Recognition in Mobile Robots." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4059.

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This paper introduces a dynamic data-driven method for behavior recognition in mobile robots. The core concept of the paper is built upon the principle of symbolic dynamic filtering (SDF) that is used to extract relevant information in complex dynamical systems. The objective here is to identify the robot behavior from time-series data of piezoelectric sensor signals from the pressure sensitive floor in a laboratory environment. A symbolic feature extraction method is presented by partitioning of two-dimensional wavelet images of sensor time-series data. The K-nearest neighbors (k-NN) algorith

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Canfield, Stephen L., Daniel Langley, and Alexander Shibakov. "Developing Metrics for Comparison of Mobile Robots Performing Welding Tasks." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13672.

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Developments in mobile robotic systems are leading to new methods and techniques for manufacturing processes in fields that traditionally have not seen much automation. Some of these tasks require process validation prior to use in the manufacturing process. One such example process is welding. However, there is a lack of industry standards for mechanized or robotic welding that can impede the introduction of mobile robotic welding systems in the market place. There is also a lack of generalized fitness measures that gauge the suitability of mobile robot topologies or dimensional designs to a

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Dharmawan, Audelia Gumarus, Blake William Clark Sedore, Gim Song Soh, Shaohui Foong, and Kevin Otto. "Robot Base Placement and Kinematic Evaluation of 6R Serial Manipulators to Achieve Collision-Free Welding of Large Intersecting Cylindrical Pipes." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47038.

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This paper presents a systematic approach for identifying feasible robot base placement regions within a workcell, and evaluating performance of industrial robots for the design of mobile industrial robotic system to perform collision-free automated welding of large intersecting cylindrical pipe structures. First, a mathematical model based on the geometry of intersecting cylindrical pipes is used to generate the welding task and torch orientation. Next, collision detection is performed using line geometry and possible robot base positions are identified and rated according to the manipulabili

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Fahimi, F., C. Nataraj, and H. Ashrafiuon. "Obstacle Avoidance for Groups of Mobile Robots Using Potential Field Technique." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60525.

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An efficient real time path planning method for groups of mobile robots in dynamic environments is introduced. Harmonic potential functions are utilized along with the panel method known in fluid mechanics. First, a complement to the traditional panel method is introduced to generate a more effective harmonic potential field for obstacle avoidance in dynamically changing environments. Second, a group of mobile robots working in an environment containing stationary and moving obstacles is considered. Each robot is assigned to move from its current position to a goal position. The group is not f

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Reports on the topic "Mobile robots. Robots"

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Leonard, John J. Cooperative Autonomous Mobile Robots. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada463215.

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Sugihara, Kazuo, and Ichiro Suzuki. Distributed Algorithms for Controlling Multiple Mobile Robots. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada283975.

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Shneier, Michael, and Roger Bostelman. Literature Review of Mobile Robots for Manufacturing. National Institute of Standards and Technology, 2015. http://dx.doi.org/10.6028/nist.ir.8022.

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Graves, Kevin P. Continuous Localization and Navigation of Mobile Robots. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada418467.

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Barraquand, Jerome, and Jean-Claude Latombe. Controllability of Mobile Robots with Kinematic Constraints. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada326998.

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Olson, Edwin. JOMAR: Joint Operations with Mobile Autonomous Robots. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada635952.

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Suzuki, Ichiro. Distributed Methods for Controlling Multiple Mobile Robots. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada283919.

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Gaudiano, Paolo. Adaptive Control and Navigation of Autonomous Mobile Robots. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada381430.

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Carroll, Daniel, H. R. Everett, Gary Gilbreath, and Katherine Mullens. Extending Mobile Security Robots to Force Protection Missions. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada422161.

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Fong, Edward H. Acquisition of 3-D Map Structures for Mobile Robots. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada403360.

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