Bibliografie tematiche / Autonomous search

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Letteratura scientifica selezionata sul tema "Autonomous search"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 19 febbraio 2022

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Articoli di riviste sul tema "Autonomous search"

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Gelenbe, Erol, and Yonghuan Cao. "Autonomous search for mines." European Journal of Operational Research 108, no. 2 (July 1998): 319–33. http://dx.doi.org/10.1016/s0377-2217(97)00373-1.

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Huo, Jianwen, Manlu Liu, Konstantin A. Neusypin, Haojie Liu, Mingming Guo, and Yufeng Xiao. "Autonomous Search of Radioactive Sources through Mobile Robots." Sensors 20, no. 12 (June 19, 2020): 3461. http://dx.doi.org/10.3390/s20123461.

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The research of robotic autonomous radioactivity detection or radioactive source search plays an important role in the monitoring and disposal of nuclear safety and biological safety. In this paper, a method for autonomously searching for radioactive sources through mobile robots was proposed. In the method, by using a partially observable Markov decision process (POMDP), the search of autonomous unknown radioactive sources was realized according to a series of radiation information measured by mobile robot. First, the factors affecting the accuracy of radiation measurement during the robot’s
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Mansor, Hasmah, Muhamad Haziq Norhisam, Zulkifli Zainal Abidin, and Teddy Surya Gunawan. "Autonomous surface vessel for search and rescue operation." Bulletin of Electrical Engineering and Informatics 10, no. 3 (June 1, 2021): 1701–8. http://dx.doi.org/10.11591/eei.v10i3.2599.

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Search and rescue operation is performed to save human life, for example during natural disasters, unfortunate incidents on the land, in the deepwater, or lakes. There were incidents happened to the search and rescue crew during the operation although they were well trained. A new method using robotic technology is important to reduce the crew's risk during operations. This research proposed a development of an autonomous surface vessel for search and rescue operations for deepwater applications. The proposed autonomous surface vessel is equipped with a global positioning system (GPS) and unde
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Harel, David, Assaf Marron, and Joseph Sifakis. "Autonomics: In search of a foundation for next-generation autonomous systems." Proceedings of the National Academy of Sciences 117, no. 30 (July 21, 2020): 17491–98. http://dx.doi.org/10.1073/pnas.2003162117.

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The potential benefits of autonomous systems are obvious. However, there are still major issues to be dealt with before developing such systems becomes a commonplace engineering practice, with accepted and trustworthy deliverables. We argue that a solid, evolving, publicly available, community-controlled foundation for developing next-generation autonomous systems is a must, and term the desired foundation “autonomics.” We focus on three main challenges: 1) how to specify autonomous system behavior in the face of unpredictability; 2) how to carry out faithful analysis of system behavior with r
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SYAFITRI, NIKEN, RATNA SUSANA, IHSAN FARRASSALAM AMMARPRAWIRA, MOCHAMAD SEPTONI FAUZI, and ARBI ABDUL JABBAAR. "The Autonomous Disaster Victim Search Robot using the Waypoint Method." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 8, no. 2 (May 19, 2020): 347. http://dx.doi.org/10.26760/elkomika.v8i2.347.

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ABSTRAKPada kasus bencana alam, penyebaran robot pada area bencana sangat bermanfaat bagi tim SAR dalam proses pencarian korban. Khususnya, jika robot yang disebar merupakan robot otonom untuk meningkatkan proses pencarian, secara efektif dan efisien. Pada artikel ini, kami mengusulkan sebuah robot otonom untuk pencarian korban bencana yang ditanamkan metode waypoint dengan mengeksploitasi sensor, GPS dan divais komunikasi. Hasil yang didapat menunjukkan bahwa robot ini mampu mencari korban bencana secara otonom dengan mendeteksi pergerakan kecil dan temperatur korban. Kemudian, koordinat loka
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Piacentini, Chiara, Sara Bernardini, and J. Christopher Beck. "Autonomous Target Search with Multiple Coordinated UAVs." Journal of Artificial Intelligence Research 65 (August 8, 2019): 519–68. http://dx.doi.org/10.1613/jair.1.11635.

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Search and tracking is the problem of locating a moving target and following it to its destination. In this work, we consider a scenario in which the target moves across a large geographical area by following a road network and the search is performed by a team of unmanned aerial vehicles (UAVs). We formulate search and tracking as a combinatorial optimization problem and prove that the objective function is submodular. We exploit this property to devise a greedy algorithm. Although this algorithm does not offer strong theoretical guarantees because of the presence of temporal constraints that
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Dollarhide, Robert L., Arvin Agah, and Gary J. Minden. "Evolving controllers for autonomous robot search teams." Artificial Life and Robotics 5, no. 3 (September 2001): 178–88. http://dx.doi.org/10.1007/bf02481466.

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Soto, Ricardo, Broderick Crawford, Wenceslao Palma, Karin Galleguillos, Carlos Castro, Eric Monfroy, Franklin Johnson, and Fernando Paredes. "Boosting autonomous search for CSPs via skylines." Information Sciences 308 (July 2015): 38–48. http://dx.doi.org/10.1016/j.ins.2015.01.035.

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de Cubber, Geert, Haris Balta, and Claude Lietart. "Teodor: A Semi-Autonomous Search and Rescue and Demining Robot." Applied Mechanics and Materials 658 (October 2014): 599–605. http://dx.doi.org/10.4028/www.scientific.net/amm.658.599.

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In this paper, we present a ground robotic system which is developed to deal with rough outdoor conditions. The platform is to be used as an environmental monitoring robot for 2 main application areas: - Humanitarian demining: The vehicle is equipped with a specialized multi-channel metal detector array. An unmanned aerial system supports it for locating suspected locations of mines, which can then be confirmed by the ground vehicle. - Search and rescue: The vehicle is equipped with human victim detection sensors and a 3D camera enabling it to assess the traversability of the terrain in front
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Liu, Yuan, Min Wang, Zhou Su, Jun Luo, Shaorong Xie, Yan Peng, Huayan Pu, Jiajia Xie, and Rui Zhou. "Multi-AUVs Cooperative Target Search Based on Autonomous Cooperative Search Learning Algorithm." Journal of Marine Science and Engineering 8, no. 11 (October 26, 2020): 843. http://dx.doi.org/10.3390/jmse8110843.

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As a new type of marine unmanned intelligent equipment, autonomous underwater vehicle (AUV) has been widely used in the field of ocean observation, maritime rescue, mine countermeasures, intelligence reconnaissance, etc. Especially in the underwater search mission, the technical advantages of AUV are particularly obvious. However, limited operational capability and sophisticated mission environments are also difficulties faced by AUV. To make better use of AUV in the search mission, we establish the DMACSS (distributed multi-AUVs collaborative search system) and propose the ACSLA (autonomous c
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Tesi sul tema "Autonomous search"

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Peterson, John Ryan. "Autonomous Source Localization." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/97954.

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This work discusses the algorithms and implementation of a multi-robot system for locating radioactive sources. The estimation algorithm presented in this work is able to fuse measurements collected by γ-ray spectrometers carried by an unmanned aerial and unmanned ground vehicle into a single consistent estimate of the probability distribution over the position of a point source in an environment. By constructing a set of hypotheses on the position of the point source, this method converts a non-linear problem into many independent linear ones. Since the underlying model is probabilistic, cand
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Cavallin, Kristoffer, and Peter Svensson. "Semi-Autonomous,Teleoperated Search and Rescue Robot." Thesis, Umeå University, Department of Computing Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-31928.

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<p>The interest in robots in the urban search and rescue (USAR) field has increased the last two decades. The idea is to let robots move into places where human rescue workers cannot or, due to high personal risks, should not enter.In this thesis project, an application is constructed with the purpose of teleoperating a simple robot. This application contains a user interface that utilizes both autonomous and semi-autonomous functions, such as search, explore and point-and-go behaviours. The purpose of the application is to work with USAR principles in a refined and simplified environment, and
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Earnest, Caleb A. "Dynamic action spaces for autonomous search operations." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/46549.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2005.<br>Includes bibliographical references (p. 148-150).<br>This thesis presents a new approach for a Navy unmanned undersea vehicle (UUV) to search for and detect an evading contact. This approach uses a contact position distribution from a generic particle filter to estimate the state of a single moving contact and to plan the path that minimizes the uncertainty in the location of the contact. The search algorithms introduced in this thesis will implement a motion planner that searches for a
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Beck, Zoltan. "Collaborative search and rescue by autonomous robots." Thesis, University of Southampton, 2016. https://eprints.soton.ac.uk/411031/.

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In recent years, professional first responders have started to use novel technologies at the scene of disasters in order to save more lives. Increasingly, they use robots to search disaster sites. One of the most widely and successfully used robot platforms in the disaster response domain are unmanned aerial vehicles (UAVs). UAVs allow remote inspection and mapping. They are able to provide high resolution imagery and often need minimal infrastructure to fly. This allows settings where multiple UAVs are airborne accelerating the information gathering from the disaster site. However, current de
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Hammerseth, Vegard B. "Autonomous Unmanned Aerial Vehicle In Search And Rescue." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-22880.

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This report presents a way of using autonomous drones to enhance search and rescue operations and takes the first steps in bringing the system to life. By using autonomous drones, less experience is required by the rescue personnel and drone specialists become excessive in this matter. Due to autonomy a drone can operate outside a valid radio link. Hence, when signal is lost, the craft can continue to search, buffer the information and send it when the link becomes active. By creating affordable drones the threshold decreases for deploying a unit in bad weather or other missions where the feed
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Ryu, Kun Jin. "Autonomous Robotic Strategies for Urban Search and Rescue." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/19194.

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This dissertation proposes autonomous robotic strategies for urban search and rescue (USAR) which are map-based semi-autonomous robot navigation and fully-autonomous robotic search, tracking, localization and mapping (STLAM) using a team of robots. Since the prerequisite for these solutions is accurate robot localization in the environment, this dissertation first presents a novel grid-based scan-to-map matching technique for accurate simultaneous localization and mapping (SLAM). At every acquisition of a new scan and estimation of the robot pose, the proposed technique corrects the estimation
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Finegan, Edward Graham. "Intelligent Autonomous Data Categorization." VCU Scholars Compass, 2005. http://scholarscompass.vcu.edu/etd/1343.

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The goal of this research was to determine if the results of a simple comparison algorithm (SCA) could be improved by adding a hyperspace analogue to language model of memory (HAL) layer to form NCA. The HAL layer provides contextual data that otherwise would be unavailable for consideration. It was found that NCA did improve the results when compared to SCA alone. However, NCA added complexity problems that limit its practicality. The complexity of this algorithm is On3 where n is equal to the number of unique symbols in the data. While there is a relativity reasonable soft upper bound for th
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Compton, Mark A. "Minefield search and object recognition for autonomous underwater vehicles." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/30604.

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Ambrose-Thurman, Andrew Michael Luke. "Autonomous, collaborative, unmanned aerial vehicles for search and rescue." Thesis, Durham University, 2014. http://etheses.dur.ac.uk/10652/.

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Search and Rescue is a vitally important subject, and one which can be improved through the use of modern technology. This work presents a number of advances aimed towards the creation of a swarm of autonomous, collaborative, unmanned aerial vehicles for land-based search and rescue. The main advances are the development of a diffusion based search strategy for route planning, research into GPS (including the Durham Tracker Project and statistical research into altitude errors), and the creation of a relative positioning system (including discussion of the errors caused by fast-moving units).
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Beyme, Steffen. "Autonomous, wireless sensor network-assisted target search and mapping." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/50725.

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The requirements of wireless sensor networks for localization applications are largely dictated by the need to estimate node positions and to establish routes to dedicated gateways for user communication and control. These requirements add significantly to the cost and complexity of such networks. In some applications, such as autonomous exploration or search and rescue, which may benefit greatly from the capabilities of wireless sensor networks, it is necessary to guide an autonomous sensor and actuator platform to a target, for example to acquire a large data payload from a sensor node, or
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Libri sul tema "Autonomous search"

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Hamadi, Youssef, Eric Monfroy, and Frédéric Saubion. Autonomous search. Heidelberg: Springer, 2011.

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Eric, Monfroy, Saubion Frédéric, and SpringerLink (Online service), eds. Autonomous Search. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Hamadi, Youssef, Eric Monfroy, and Frédéric Saubion, eds. Autonomous Search. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-21434-9.

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Real-time search for learning autonomous agents. Boston: Kluwer Academic Publishers, 1997.

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Wang, Yue, and Islam I. Hussein. Search and Classification Using Multiple Autonomous Vehicles. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2957-8.

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Burian, Erik Alfred. Search methods for an autonomous underwater vehicle using scalar measurements. Springfield, Va: Available from National Technical Information Service, 1996.

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Wang, Yue. Search and Classification Using Multiple Autonomous Vehicles: Decision-Making and Sensor Management. 2nd ed. London: Springer London, 2012.

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The search for the Panchen Lama. New York: W.W. Norton, 2000.

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A mountain in Tibet: The search for Mount Kailas and the sources of the great rivers of India. London: Abacus, 2003.

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Foreign devils on the Silk Road: The search for the lost cities and treasures of Chinese Central Asia. Oxford: Oxford University Press, 2001.

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Capitoli di libri sul tema "Autonomous search"

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Petrik, Marek, and Shlomo Zilberstein. "Learning Feature-Based Heuristic Functions." In Autonomous Search, 269–305. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21434-9_11.

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Hamadi, Youssef, Eric Monfroy, and Frédéric Saubion. "An Introduction to Autonomous Search." In Autonomous Search, 1–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21434-9_1.

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Hamadi, Youssef, Said Jabbour, and Jabbour Sais. "Control-Based Clause Sharing in Parallel SAT Solving." In Autonomous Search, 245–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21434-9_10.

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Eiben, A. E., and S. K. Smit. "Evolutionary Algorithm Parameters and Methods to Tune Them." In Autonomous Search, 15–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21434-9_2.

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Hoos, Holger H. "Automated Algorithm Configuration and Parameter Tuning." In Autonomous Search, 37–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21434-9_3.

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Bridge, Derek, Eoin O’Mahony, and Barry O’Sullivan. "Case-Based Reasoning for Autonomous Constraint Solving." In Autonomous Search, 73–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21434-9_4.

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Epstein, Susan L., and Smiljana Petrovic. "Learning a Mixture of Search Heuristics." In Autonomous Search, 97–127. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21434-9_5.

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Battiti, Roberto, and Paolo Campigotto. "An Investigation of Reinforcement Learning for Reactive Search Optimization." In Autonomous Search, 131–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21434-9_6.

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Maturana, Jorge, Álvaro Fialho, Frédéric Saubion, Marc Schoenauer, Frédéric Lardeux, and Michèle Sebag. "Adaptive Operator Selection and Management in Evolutionary Algorithms." In Autonomous Search, 161–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21434-9_7.

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Stützle, Thomas, Manuel López-Ibáñez, Paola Pellegrini, Michael Maur, Marco Montes de Oca, Mauro Birattari, and Marco Dorigo. "Parameter Adaptation in Ant Colony Optimization." In Autonomous Search, 191–215. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21434-9_8.

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Atti di convegni sul tema "Autonomous search"

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Gelenbe, Erol, and Yonghuan Cao. "Autonomous search for mines." In AeroSense '97, edited by Abinash C. Dubey and Robert L. Barnard. SPIE, 1997. http://dx.doi.org/10.1117/12.280898.

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Stevens, Timothy, and Timothy H. Chung. "Autonomous search and counter-targeting using Levy search models." In 2013 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2013. http://dx.doi.org/10.1109/icra.2013.6631134.

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Nesterenko, P. A., and V. P. Gusev. "Autonomous anti-theft search satellite system." In 2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE). IEEE, 2014. http://dx.doi.org/10.1109/apeie.2014.7040835.

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Xue, Songdong, Jianchao Zeng, and Guoyou Zhang. "A review of autonomous robotic search." In 2011 International Conference on Electrical and Control Engineering (ICECE). IEEE, 2011. http://dx.doi.org/10.1109/iceceng.2011.6057781.

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Rasouli, Amir, and John K. Tsotsos. "Visual Saliency Improves Autonomous Visual Search." In 2014 Canadian Conference on Computer and Robot Vision (CRV). IEEE, 2014. http://dx.doi.org/10.1109/crv.2014.23.

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Cao, Yonghuan, and Erol Gelenbe. "Autonomous search for mines: II. Hierarchical search using sensory data." In Aerospace/Defense Sensing and Controls, edited by Abinash C. Dubey, James F. Harvey, and J. Thomas Broach. SPIE, 1998. http://dx.doi.org/10.1117/12.324143.

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Plenge, Benjamin, and M. Anderson. "Wide area autonomous search munition search pattern "optimization" using genetic algorithms." In 39th Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2001. http://dx.doi.org/10.2514/6.2001-1124.

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Britt, Winard, William Lyles, and David M. Bevly. "A State Machine Controller for the Autonomous Guidance of a Trained Canine." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4020.

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This work demonstrates the autonomous command of a trained search canine to multiple waypoints using a novel state machine control algorithm. A hardware system is utilized in order to interface with the Global Position Satellite (GPS) system and with a tone and vibration generator for the purpose of accurately navigating and commanding the canine. An operational control algorithm for autonomous guidance of the canine is described in detail. Empirical results of an autonomously commanded canine are demonstrated with an 73% mission success rate for simple paths and a 62% mission success rate for
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Perera, Chamathke, Muhammad Galib, and Ryan Tang Dan. "Autonomous Search and Rescue System (Project ASARS)." In The 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Industry, Innovation, and Infrastructure for Sustainable Cities and Communities”. Latin American and Caribbean Consortium of Engineering Institutions, 2019. http://dx.doi.org/10.18687/laccei2019.1.1.494.

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Xu, Liheng, Chi Zhang, Yuehu Liu, Le Wang, and Li Li. "Worst Perception Scenario Search for Autonomous Driving." In 2020 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2020. http://dx.doi.org/10.1109/iv47402.2020.9304731.

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Rapporti di organizzazioni sul tema "Autonomous search"

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Edwards, Dean B. Cooperative Autonomous Underwater Vehicles Used to Search Large Ocean Areas for Mines. Fort Belvoir, VA: Defense Technical Information Center, October 2009. http://dx.doi.org/10.21236/ada507940.

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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. Fort Belvoir, VA: Defense Technical Information Center, April 1995. http://dx.doi.org/10.21236/ada422749.

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