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Relevant bibliographies by topics / Exploration of the unknown

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Academic literature on the topic 'Exploration of the unknown'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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Journal articles on the topic "Exploration of the unknown"

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Ilmola, Leena, and Elena Rovenskaya. "Three experiments: The exploration of unknown unknowns in foresight." Technological Forecasting and Social Change 106 (May 2016): 85–100. http://dx.doi.org/10.1016/j.techfore.2015.12.015.

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Wilkinson, P. N., K. I. Kellermann, R. D. Ekers, J. M. Cordes, and T. Joseph W. Lazio. "The exploration of the unknown." New Astronomy Reviews 48, no. 11-12 (2004): 1551–63. http://dx.doi.org/10.1016/j.newar.2004.09.036.

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Holford, John, Peter Jarvis, Marcella Milana, Richard Waller, and Susan Webb. "Exploration, discovery, learning: mapping the unknown." International Journal of Lifelong Education 32, no. 6 (2013): 685. http://dx.doi.org/10.1080/02601370.2013.856138.

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Palacios, Alfredo Toriz, Abraham Sánchez L, and Jose María Enrique Bedolla Cordero. "The random exploration graph for optimal exploration of unknown environments." International Journal of Advanced Robotic Systems 14, no. 1 (2017): 172988141668711. http://dx.doi.org/10.1177/1729881416687110.

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The exploration of an unknown environment by a robot system is a well-studied problem in robotics; however, although many of the proposals made in this field represent efficient tools in terms of exploration paradigm, most of them are not efficient for time critical applications since the robot may visit the same place more than once during backtracking. In this way and considering these limitations, this article presents a novel approach called the random exploration graph, which addresses the problem of exploring unknown environments by building a graph structure created incrementally by the

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Chao-xia, Shi, Hong Bing-rong, and Wang Yan-qing. "Cooperative Exploration by Multi-Robots without Global Localization." International Journal of Advanced Robotic Systems 4, no. 3 (2007): 36. http://dx.doi.org/10.5772/5682.

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Efficient exploration of unknown environments is a fundamental problem in mobile robotics. We propose a novel topological map whose nodes are represented with the range finder's free beams together with the visual scale-invariant features. The topological map enables teams of robots to efficiently explore environments from different, unknown locations without knowing their initial poses, relative poses and global poses in a certain world reference frame. The experiments of map merging and coordinated exploration demonstrate the proposed map is not only easy for merging, but also convenient for

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Feng, Ao, Yuyang Xie, Yankang Sun, Xuanzhi Wang, Bin Jiang, and Jian Xiao. "Efficient Autonomous Exploration and Mapping in Unknown Environments." Sensors 23, no. 10 (2023): 4766. http://dx.doi.org/10.3390/s23104766.

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Autonomous exploration and mapping in unknown environments is a critical capability for robots. Existing exploration techniques (e.g., heuristic-based and learning-based methods) do not consider the regional legacy issues, i.e., the great impact of smaller unexplored regions on the whole exploration process, which results in a dramatic reduction in their later exploration efficiency. To this end, this paper proposes a Local-and-Global Strategy (LAGS) algorithm that combines a local exploration strategy with a global perception strategy, which considers and solves the regional legacy issues in

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Sujit, P. B., and Randy Beard. "Multiple UAV exploration of an unknown region." Annals of Mathematics and Artificial Intelligence 52, no. 2-4 (2008): 335–66. http://dx.doi.org/10.1007/s10472-009-9128-7.

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Chen, Chi, Yuhang Xu, Leyi Zhao, et al. "LUOJIA Explorer: A Multi-robot Autonomous Exploration and Mapping System for Unknown Spaces." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-G-2025 (July 28, 2025): 269–74. https://doi.org/10.5194/isprs-archives-xlviii-g-2025-269-2025.

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Abstract. As human exploration of space advances, the exploration of unknown spaces and the construction of digital twins for these environments have become increasingly important. Autonomous exploration and mapping by unmanned systems is one of the key methods to achieve this, but existing single-robot exploration approaches are inefficient in large-scale scenarios or time-critical tasks. Multi-robot collaboration can effectively address this issue, but enabling fully autonomous multi-robot collaborative exploration of unknown spaces and constructing digital models of these spaces remain sign

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Xavier A, Jasmine, and Kannan Pauliah Nadar. "Multirobot System to Explore Unknown Environment with Connection Maintenance." Wireless Communications and Mobile Computing 2022 (November 11, 2022): 1–28. http://dx.doi.org/10.1155/2022/1417627.

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This paper addresses the problem of exploring an unknown environment using multiple robots and maintaining the communication among the team of robots. The existing exploration methods assume that the communication is maintained among the team of robots throughout the exploration process. However, this is not possible when the area to be explored is very large and when there is limited communication range. The presented exploration methods provide communication maintenance among the team of robots and maintain coordination. Three different approaches are presented for exploration. They are cent

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Aday, Isaac Jay. "“Feelings Hitherto Unknown”." Philotheos 23, no. 2 (2023): 193–205. https://doi.org/10.5840/philotheos202323213.

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This piece investigates the formal choices and style of Nikolai Gogol’s Dead Souls in reference to his ostensibly contradictory reflections upon the role of the “author as teacher” and the importance of the institution of serfdom in Russia. What emerges from this exploration is the notion that Gogol’s form and style in writing Dead Souls were in fact ethically weighted—and may provide some further context into what Gogol sought to achieve with composing the novel.

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Dissertations / Theses on the topic "Exploration of the unknown"

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Gartshore, R. "Autonomous robotic exploration of unknown environments." Thesis, University of Surrey, 2005. http://epubs.surrey.ac.uk/589/.

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Ferranti, Ettore. "Multi-agent exploration of unknown areas." Thesis, University of Oxford, 2010. http://ora.ox.ac.uk/objects/uuid:80f73481-1370-498e-ab43-d86f9af11a62.

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This work focuses on the autonomous exploration of unknown areas by a swarm of mobile robots, referred to as agents. When an emergency happens within a building, it is dangerous to send human responders to search the area for hazards and victims. This motivates the need for autonomous agents that are able to coordinate with each other to explore the area as fast as possible. We investigate this problem from an algorithmic, rather than a robotics point of view, and thus abstract away from practical problems, such as obstacle detection and navigation over rough terrain. Our focus is on distribut

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Herr, Maximilian. "Augmented Exploration : Travelling through unknown realities." Thesis, Umeå universitet, Designhögskolan vid Umeå universitet, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-164606.

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This is a project exploring a possible future of embedded mobile augmented reality services in people's daily routine. The project was conduct- ed at Umeå Institute of Design as a MFA Thesis in Interaction Design. The constant development of technologies along- side with society’s increased usage of the mobile phone makes this medium more and more inter- esting amongst all age groups. The existing solu- tions focus on ways of communicating through short time interactions as well as on gameplays with a focus on storytelling. So far, these existing solutions are rarely implementing a service as

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Noël, Thibault. "Autonomous exploration of an unknown 3D environment." Electronic Thesis or Diss., Université de Rennes (2023-....), 2025. http://www.theses.fr/2025URENS005.

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Ce manuscrit présente les méthodes développées pour permettre l’exploration autonome d’un environnement 3D inconnu par un robot mobile. L’exploration est une tâche transverse, regroupant divers sous-problèmes ; ici, nous nous intéressons en particulier à la planification de trajectoires, essentielle pour la navigation autonome du robot. Nous proposons en particulier deux méthodes nouvelles de construction de graphes de navigation, utilisées ensuite comme base pour l’élaboration de stratégies d’exploration plus haut-niveau. Deux approches principales sont présentées, reflétant les deux grands c

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Bonnevie, Rodrigue. "Long-Term Exploration in Unknown Dynamic Environments." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289219.

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In order for autonomous robots to perform tasks and safely navigate environments they need to have a reliable and detailed map. These maps are generally created by the robot itself since maps with the required level of detail rarely exist beforehand. In order to create that map the robot has to explore an unknown environment. Such activity is referred to as autonomous exploration within the field of robotics. Most research done in autonomous exploration assumes a static environment. Since most environments in the real world often changes over time an exploration algorithm that is able to re-ex

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Premkumar, Aravind Preshant. "Competitive Algorithms and System for Multi-Robot Exploration of Unknown Environments." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78847.

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We present an algorithm to explore an orthogonal polygon using a team of p robots. This algorithm combines ideas from information-theoretic exploration algorithms and computational geometry based exploration algorithms. The algorithm is based on a single-robot polygon exploration algorithm and a tree exploration algorithm. We show that the exploration time of our algorithm is competitive (as a function of p) with respect to the offline optimal exploration algorithm. We discuss how this strategy can be adapted to real-world settings to deal with noisy sensors. In addition to theoretical analysi

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Wiik, Linus, and Jennie Bäcklin. "Collaborative Exploration of Unknown Terrain Utilizing Real-Time Kinematic Positioning." Thesis, Linköpings universitet, Reglerteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167103.

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Unmanned autonomous vehicles, airborne or terrestrial, can be used to solve many varying tasks in vastly different environments. This thesis describes a proposed collaboration between two types of such vehicles, namely unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). The vehicles' objective is to traverse unknown terrain in order to access a target area. The exploration of the unknown terrain is in this thesis divided into three parts. These parts are terrain mapping, informative path planning (IPP) for the UAVs and path planning for the UGV. A Gaussian Process (GP) is used

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Bukari, Shaibu. "Parts unknown : a critical exploration of Fishers' social constructs of child labour in Ghana." Thesis, University of Sussex, 2016. http://sro.sussex.ac.uk/id/eprint/61740/.

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This study from the onset sought to explore, through a postcolonial critique, the meaning ascribed to child labour by fishers in a fishing community in Ghana. The purpose was to inform practice in social work so that social justice might be achieved for working children and their parents. However the study expanded, methodologically and theoretically, to preliminarily include a psychoanalytically informed psychosocial and discursive approach, extending the postcolonial critique to develop a nuanced understandings of the fishers' lived experience of, and responses to, children's work. Distinct

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Moletta, Marco. "Path planning for autonomous aerial robots in unknown underground zones optimized for vertical tunnels exploration." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-285574.

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Robotics is revolutionizing the work in dangerous environments like mines and tunnels, making life easier and safer for the workers. The specific case considered in this thesis regards UAVs used for 3D mapping of these zones. However, the use of UAVs in underground mines can be challenging for many reasons, such as reduced visibility, no GPS localization available and limited wireless communication, challenges that can be partially solved by using au- tonomous robots. Precisely for these reasons, this work aims to contribute on this application with the implementation of an autonomous path pla

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Tadiello, Matteo. "Deep reinforcement learning method for autonomous exploration of unknown underground zones using aerial robots with 3D LIDAR." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289156.

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The capability of robots to works in dangerous environments like underground mines can allow workers to work in a safer environment. In particular mapping and explore mines and tunnels can save lives and money. For this kind of missions, UAVs are often chosen, thanks to their high mobility in 3D spaces. However, to do that, the robot needs to work in a complex environment with reduced visibility and poor connections. Artificial intelligence and in particular Deep Reinforcement Learning (DRL) is becoming a more popular approach to solve this kind of problems, but the implementation of this tech

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Books on the topic "Exploration of the unknown"

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Service, National Geographic Book, and National Geographic Society (U.S.), eds. Into the unknown: The story of exploration. National Geographic Society, 1987.

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1943-, Roberts David, ed. Points unknown: A century of great exploration. Norton, 2000.

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Mitchell, James Leslie. Nine against the unknown: A record of geographical exploration. Polygon, 2000.

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Levinson, Nancy Smiler. Christopher Columbus: Voyager to the unknown. Lodestar Books, 1990.

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Achilles, Rolf. Organizing the unknown: German science and the American West. Goethe-Institut Chicago, 1989.

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Anderson, Peter. Into the unknown: Major Powell's river journey. Falcon Press, 1992.

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Dolnick, Edward. Down the Great Unknown. HarperCollins, 2001.

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Dolnick, Edward. Down the Great Unknown. HarperCollins, 2001.

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Schwatka, Frederick. Schwatka's Last Search: The New York Ledger Expedition through Unknown Alaska and British America. University of Alaska Press, 1996.

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Cooper, Gordon. Leap of faith: An astronaut's journey into the unknown. HarperCollins Publishers, 2000.

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Book chapters on the topic "Exploration of the unknown"

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Das, Shantanu, Paola Flocchini, Amiya Nayak, and Nicola Santoro. "Distributed Exploration of an Unknown Graph." In Structural Information and Communication Complexity. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11429647_10.

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Böckenhauer, Hans-Joachim, Fabian Frei, Walter Unger, and David Wehner. "Zero-Memory Graph Exploration with Unknown Inports." In Structural Information and Communication Complexity. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-32733-9_11.

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Malik, Raashid, and Samuel Prasad. "Robot Navigation and Exploration in an Unknown Environment." In Robotic Systems. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2526-0_49.

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Chi, Pei, Jiahong Wei, Jiang Zhao, and Yingxun Wang. "Autonomous UAV Exploration in Unknown Environments Using Octomap." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2212-2_36.

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Høyrup, Jens. "Powers of the Unknown." In Explorations and False Trails. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-48158-1_2.

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Dall’Asta, Luca, Ignacio Alvarez-Hamelin, Alain Barrat, Alexei Vázquez, and Alessandro Vespignani. "Traceroute-Like Exploration of Unknown Networks: A Statistical Analysis." In Combinatorial and Algorithmic Aspects of Networking. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11527954_13.

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Khaluf, Yara, Stef Van Havermaet, and Pieter Simoens. "Collective Lévy Walk for Efficient Exploration in Unknown Environments." In Artificial Intelligence: Methodology, Systems, and Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99344-7_24.

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Doumit, Sarjoun, and Ali Minai. "Exploration for Agents with Different Personalities in Unknown Environments." In Unifying Themes in Complex Systems VII. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-18003-3_5.

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Araújo, Rui, and A. T. Almeida. "Exploration of an unknown environment by a mobile robot." In Re-engineering for Sustainable Industrial Production. Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35086-8_11.

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Bhattacharya, Subhrajit, Nathan Michael, and Vijay Kumar. "Distributed Coverage and Exploration in Unknown Non-convex Environments." In Springer Tracts in Advanced Robotics. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32723-0_5.

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Conference papers on the topic "Exploration of the unknown"

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Shahidzadeh, Amir-Hossein, Seong Jong Yoo, Pavan Mantripragada, Chahat Deep Singh, Cornelia Fermüller, and Yiannis Aloimonos. "AcTExplore: Active Tactile Exploration on Unknown Objects." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611667.

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Huang, Rui, Chengyang Zhang, and Chaoyang Jiang. "Multi-Vehicle Exploration and Planning in Unknown Indoor Environment." In 2024 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2024. https://doi.org/10.1109/icus61736.2024.10840100.

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Bardají, Juan Zacarías, David Morilla-Cabello, and Eduardo Montijano. "Dynamics-Aware Fast Multi-Drone Exploration of Unknown Environments." In 2024 7th Iberian Robotics Conference (ROBOT). IEEE, 2024. https://doi.org/10.1109/robot61475.2024.10797345.

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Lyu, Zhixiao, Yue Yin, Qinyang Liu, and Tianyao Yang. "Autonomous Exploration Algorithm for Mobile Robots in Unknown Confined Environment." In 2024 16th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE, 2024. http://dx.doi.org/10.1109/ihmsc62065.2024.00050.

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Yang, Fan. "Autonomous Exploration Algorithms for Unmanned Aerial Vehicles in Unknown Environments." In 2025 IEEE 5th International Conference on Power, Electronics and Computer Applications (ICPECA). IEEE, 2025. https://doi.org/10.1109/icpeca63937.2025.10928811.

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Shrote, Sumukh, Harini Sriraman, Aaditya Bagaddeo, and Janhavi Chaurasia. "Autonomous Exploration of Unknown Indoor Environments Using Multi-UAV System." In 2025 5th International Conference on Computer, Control and Robotics (ICCCR). IEEE, 2025. https://doi.org/10.1109/icccr65461.2025.11072559.

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Lu, Yi, Gang Li, and Bin Cheng. "A Sub-Mother UAV System for Collaborative Exploration in Unknown Environments." In 2024 IEEE 7th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2024. http://dx.doi.org/10.1109/itnec60942.2024.10733261.

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Chen, Liping, Shihong Duan, Cheng Xu, Heng Zhang, and Ran Wang. "Explaining Graph-based Decision Learning for Autonomous Exploration in Unknown Environments." In 2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). IEEE, 2024. https://doi.org/10.1109/ispa63168.2024.00239.

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Zheng, Chengwei, Jianbin Wu, Yuhang Bao, and Changyun Wei. "Bezier Curve-based Motion Planning for Efficient Robot Exploration in Unknown Environments." In 2024 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2024. https://doi.org/10.1109/icus61736.2024.10839886.

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Changoluisa Caiza, Iván D., Ana Milas, Marco A. Montes Grova, Francisco Javier Pérez-Grau, and Tamara Petrovic. "Autonomous Exploration of Unknown 3D Environments Using a Frontier-Based Collector Strategy." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611139.

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Reports on the topic "Exploration of the unknown"

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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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Ennasr, Osama, Brandon Dodd, Michael Paquette, Charles Ellison, and Garry Glaspell. Low size, weight, power, and cost (SWaP-C) payload for autonomous navigation and mapping on an unmanned ground vehicle. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47683.

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Autonomous navigation and unknown environment exploration with an unmanned ground vehicle (UGV) is extremely challenging. This report investigates a mapping and exploration solution utilizing low size, weight, power, and cost payloads. The platform presented here leverages simultaneous localization and mapping to efficiently explore unknown areas by finding navigable routes. The solution utilizes a diverse sensor payload that includes wheel encoders, 3D lidar, and red-green-blue and depth cameras. The main goal of this effort is to leverage path planning and navigation for mapping and explorat

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Diaz, Jonathan F., Alexander Stoytchev, and Ronald C. Arkin. Exploring Unknown Structured Environments. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada443608.

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Cui, Y., Q. Sun, and T. Lemon. Handling Unknown DHCPv6 Messages. RFC Editor, 2014. http://dx.doi.org/10.17487/rfc7283.

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Harchol-Balter, Mor. Task Assignment With Unknown Duration. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada368426.

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Samantha Goyen, Samantha Goyen. Sydney Harbour-ing unknown coral treasures. Experiment, 2016. http://dx.doi.org/10.18258/7561.

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Betke, Margrit, Ronald L. Rivest, and Mona Singh. Piecemeal Learning of an Unknown Environment,. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada291683.

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Adam, Stuart. Unknown quantities: Labour’s ‘non-dom’ proposal. The IFS, 2015. http://dx.doi.org/10.1920/co.ifs.2024.0812.

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Fox, Jr, and Chester E. Single-Look Detection with Unknown Signal Strengths. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada177414.

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Hughes, Brian L. Communication in the Presence of Unknown Interference. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada271146.

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