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Journal articles on the topic 'Exploration of the unknown'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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10

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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11

McCalmon, Joseph. "Exploration of Unknown Environments Using Deep Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 18 (2021): 15970–71. http://dx.doi.org/10.1609/aaai.v35i18.17981.

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My research presents a method for efficient exploration of an outdoor, unknown area, which aims to achieve precise coverage of regions of interest within that area. While this method for autonomous exploration was designed for autonomous controllers in unmanned aerial vehicles (UAVs), the concepts apply to any vehicle which uses autonomous navigation. We consider an environment with areas of interest of various sizes littered throughout, and a reinforcement learning agent which is tasked with discovering and mapping these areas in an efficient manner.

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12

Tsugawa, Sho, and Hiroyuki Ohsaki. "Exploring Unknown Social Networks for Discovering Hidden Nodes." Proceedings of the International AAAI Conference on Web and Social Media 19 (June 7, 2025): 1937–51. https://doi.org/10.1609/icwsm.v19i1.35911.

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In this paper, we address the challenge of discovering hidden nodes in unknown social networks, formulating three types of hidden-node discovery problems, namely, Sybil-node discovery, peripheral-node discovery, and influencer discovery. We tackle these problems by employing a graph exploration framework grounded in machine learning. Leveraging the structure of the subgraph gradually obtained from graph exploration, we construct prediction models to identify target hidden nodes in unknown social graphs. Through empirical investigations of real social graphs, we investigate the efficiency of gr

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Stern, Roni, Meir Kalech, and Ariel Felner. "Searching for a k-Clique in Unknown Graphs." Proceedings of the International Symposium on Combinatorial Search 1, no. 1 (2010): 83–89. http://dx.doi.org/10.1609/socs.v1i1.18175.

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Agents that solve problems in unknown graphs are usually required to iteratively explore parts of the graph. In this paper we research the problem of finding a k-clique in an unknown graph while minimizing the number of required exploration actions. Two novel heuristics Known Degree and Clique* are proposed to reduce the required exploration cost by carefully choosing which part of the environment to explore. We further investigate the problem by adding probabilistic knowledge of the graph and propose an Markov Decision Process(MDP) and a Monte Carlo based heuristic (RClique*) that uses knowle

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14

Singh, Prem Kumar. "Mathematical Concept Exploration Using Turiyam Cognition." Galoitica: Journal of Mathematical Structures and Applications 9, no. 1 (2023): 08–22. http://dx.doi.org/10.54216/gjmsa.090101.

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Recent time Turiyam set is considered as one of the prominent tool to explore unknown or undefined objects. The elementary school is one of the suitable examples where child explore each of the unknown objects. In this stage the child develop its Turiyam cognition based on its consciousness. It can be characterized as true learning (t), false learning, (f), uncertain learning (i) and last liberal or unknown or not required at this stage which can be explored later (l). The child refused to learn any topic can be found via 4-(t+i+f+l) in case of four independent events otherwise 1-(t+i+f+l) in

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15

Lei, Yang, Jian Hou, Peixin Ma, and Mingze Ma. "Voronoi-GRU-Based Multi-Robot Collaborative Exploration in Unknown Environments." Applied Sciences 15, no. 6 (2025): 3313. https://doi.org/10.3390/app15063313.

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In modern society, the autonomous exploration of unknown environments has attracted extensive attention due to its broad applications, such as in search and rescue operations, planetary exploration, and environmental monitoring. This paper proposes a novel collaborative exploration strategy for multiple mobile robots, aiming to quickly realize the exploration of entire unknown environments. Specifically, we investigate a hierarchical control architecture, comprising an upper decision-making layer and a lower planning and mapping layer. In the upper layer, the next frontier point for each robot

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Ktiri, Youssef, Tomoaki YOSHIKAI, and Masayuki INABA. "2P1-L04 Multiple Robots Collaborative Exploration of Unknown Environment Using Landmarks and Laser data." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2012 (2012): _2P1—L04_1—_2P1—L04_4. http://dx.doi.org/10.1299/jsmermd.2012._2p1-l04_1.

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17

Song, Baojian, Jiahao Zhang, Xinjie Han, Yunsheng Fan, Zhe Sun, and Yingjie Wang. "An Efficient Autonomous Exploration Framework for Unmanned Surface Vehicles in Unknown Waters." Journal of Marine Science and Engineering 12, no. 9 (2024): 1622. http://dx.doi.org/10.3390/jmse12091622.

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The detection of unknown waters has been studied and applied in various fields, such as national defense, military operations, engineering surveying and mapping, and scene reconstruction. To improve exploration efficiency in unknown waters, this paper proposes a framework for autonomous exploration using unmanned surface vehicles (USVs). This framework, comprising a multi-stage exploration strategy and a hierarchical navigation strategy, is designed to mitigate the inherent restrictions between the exploration target point and exploration direction in USV operations. These two strategies are o

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18

Xie, Ming-Ru, Shing-Yun Jung, and Kuan-Wen Chen. "Three-Dimensional Drone Exploration with Saliency Prediction in Real Unknown Environments." Aerospace 10, no. 5 (2023): 488. http://dx.doi.org/10.3390/aerospace10050488.

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In this paper, we propose a three-dimensional autonomous drone exploration system (ADES) with a lightweight and low-latency saliency prediction model to explore unknown environments. Several studies have applied saliency prediction in drone exploration. However, these studies are not sufficiently mature. For example, the computational complexity and the size of the developed prediction models have not been considered. In addition, some studies have only proposed saliency prediction models without actually applying them to drones. The ADES system proposed in this paper has a small and fast sali

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19

Wang, Yue, Xinpeng Li, Xing Zhuang, Fanyu Li, and Yutao Liang. "A Sampling-Based Distributed Exploration Method for UAV Cluster in Unknown Environments." Drones 7, no. 4 (2023): 246. http://dx.doi.org/10.3390/drones7040246.

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Rapidly completing the exploration and construction of unknown environments is an important task of a UAV cluster. However, the formulation of an online autonomous exploration strategy based on a real-time detection map is still a problem that needs to be discussed and optimized. In this paper, we propose a distributed unknown environment exploration framework for a UAV cluster that comprehensively considers the path and terminal state gain, which is called the Distributed Next-Best-Path and Terminal (DNBPT) method. This method calculates the gain by comprehensively calculating the new explora

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20

Karolj, Valentina, Alberto Viseras, Luis Merino, and Dmitriy Shutin. "An Integrated Strategy for Autonomous Exploration of Spatial Processes in Unknown Environments." Sensors 20, no. 13 (2020): 3663. http://dx.doi.org/10.3390/s20133663.

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Exploration of spatial processes, such as radioactivity or temperature is a fundamental task in many robotic applications. In the literature, robotic exploration is mainly carried out for applications where the environment is a priori known. However, for most real life applications this assumption often does not hold, specifically for disaster scenarios. In this paper, we propose a novel integrated strategy that allows a robot to explore a spatial process of interest in an unknown environment. To this end, we build upon two major blocks. First, we propose the use of GP to model the spatial pro

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21

de Farias, Cristiana, Naresh Marturi, Rustam Stolkin, and Yasemin Bekiroglu. "Simultaneous Tactile Exploration and Grasp Refinement for Unknown Objects." IEEE Robotics and Automation Letters 6, no. 2 (2021): 3349–56. http://dx.doi.org/10.1109/lra.2021.3063074.

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22

SUN, Fengchi, Jing YUAN, Yalou HUANG, and Guang LIU. "A Dynamically Configurable Landmark System for Unknown Environment Exploration." ROBOT 32, no. 1 (2010): 77–82. http://dx.doi.org/10.3724/sp.j.1218.2010.00077.

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23

Emharraf, Mohamed, Mohammed Bourhaleb, Mohammed Saber, and Mohammed Rahmoun. "Mobile Robot: SLAM Implementation for Unknown Indoor Environment Exploration." Journal of Computer Science 12, no. 2 (2016): 106–12. http://dx.doi.org/10.3844/jcssp.2016.106.112.

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24

Seife, C. "SPACE EXPLORATION: Moon's 'Abundant Resources' Largely an Unknown Quantity." Science 303, no. 5664 (2004): 1603. http://dx.doi.org/10.1126/science.303.5664.1603.

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25

Geyer, Melanie. "Exploration of the Unknown in a Safe-Enough Environment." Journal of Analytic Social Work 2, no. 4 (1995): 15–29. http://dx.doi.org/10.1300/j408v02n04_03.

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26

Baglietto, M., G. Battistelli, L. Scardovi, and R. Zoppoli. "NEURO-DYNAMIC PROGRAMMING FOR THE EXPLORATION OF UNKNOWN GRAPHS." IFAC Proceedings Volumes 38, no. 1 (2005): 401–6. http://dx.doi.org/10.3182/20050703-6-cz-1902.00928.

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27

Park, Jung Kyu, Heung Seok Jeon, and Sam H. Noh. "Mobile Robot Exploration in Unknown Environment using Hybrid Map." Journal of the Korea Society of Computer and Information 18, no. 4 (2013): 27–34. http://dx.doi.org/10.9708/jksci.2013.18.4.027.

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28

Koyfman, Daniel, Shahaf Shperberg, Dor Atzmon, and Ariel Felner. "Minimizing State Exploration While Searching Graphs with Unknown Obstacles (Extended Abstract)." Proceedings of the International Symposium on Combinatorial Search 17 (June 1, 2024): 273–74. http://dx.doi.org/10.1609/socs.v17i1.31577.

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We address the challenge of finding a shortest path in a graph with unknown obstacles where the exploration cost to detect whether a state is free or blocked is very high (e.g., due to sensor activation for obstacle detection). The main objective is to solve the problem while minimizing the number of explorations. To achieve this, we propose MXA∗, a novel heuristic search algorithm based on A∗. The key innovation in MXA∗ lies in modifying the heuristic calculation to avoid obstacles that have already been revealed. Furthermore, this paper makes a noteworthy contribution by introducing the conc

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29

Gandhi, K. Raja Rama. "Exploration of Fibonacci Function." Bulletin of Mathematical Sciences and Applications 1 (August 2012): 57–62. http://dx.doi.org/10.18052/www.scipress.com/bmsa.1.57.

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In this paper, I define Fibonacci function (probably unknown) on Real number field, for all x∈R, F:R → R,э F (x+n) = ∫nF(x+1)+∫n-1F(x). Also, I defined the limit value of Fibonacci function, which is closed to 1.618… where x tends to infinity. Including, Fibonacci sum as well.

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Hou, Xiaolei, Zheng Pan, Li Lu, et al. "LAEA: A 2D LiDAR-Assisted UAV Exploration Algorithm for Unknown Environments." Drones 8, no. 4 (2024): 128. http://dx.doi.org/10.3390/drones8040128.

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In UAV autonomous exploration, large frontier clusters are commonly associated with high information gain and are visited first. In contrast, small and isolated frontier clusters with fewer frontiers are associated with smaller information gain and are thus explored with low priority. However, these small and isolated frontier clusters are often in close proximity to UAVs and surrounded by explored areas, which could result in back-and-forth flights that lower exploration efficiency. This paper proposes LAEA, a LiDAR-assisted and depth camera-dominated UAV exploration algorithm that aims to im

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Gu, Haiwei, Shaowei Fan, Hua Zong, Minghe Jin, and Hong Liu. "Haptic Perception of Unknown Object by Robot Hand: Exploration Strategy and Recognition Approach." International Journal of Humanoid Robotics 13, no. 03 (2016): 1650008. http://dx.doi.org/10.1142/s0219843616500080.

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In this paper, the exploration and recognition in unknown object perception by robot hand is discussed. Inspired by the touch and exploration of human hand, a haptic exploration strategy for multi-fingered robot hand is proposed. Based on the observations from human experiments, the proposed strategy can be used to guide the robot hand to plan a series of movements to get tactile information from different unknown objects, with the precondition of avoiding unexpected collisions with the objects. A recognition approach is then presented to recognize object shapes based on the tactile point data

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Romeh, Ali El, Seyedali Mirjalili, and Faiza Gul. "Hybrid Vulture-Coordinated Multi-Robot Exploration: A Novel Algorithm for Optimization of Multi-Robot Exploration." Mathematics 11, no. 11 (2023): 2474. http://dx.doi.org/10.3390/math11112474.

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Exploring unknown environments using multiple robots has numerous applications in various fields but remains a challenging task. This study proposes a novel hybrid optimization method called Hybrid Vulture-Coordinated Multi-Robot Exploration (HVCME), which combines Coordinated Multi-Robot Exploration (CME) and African Vultures Optimization Algorithm (AVOA) to optimize the construction of a finite map in multi-robot exploration. We compared HVCME with four other similar algorithms using three performance measures: run time, percentage of the explored area, and the number of times the method fai

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Eldemiry, Amr, Yajing Zou, Yaxin Li, Chih-Yung Wen, and Wu Chen. "Autonomous Exploration of Unknown Indoor Environments for High-Quality Mapping Using Feature-Based RGB-D SLAM." Sensors 22, no. 14 (2022): 5117. http://dx.doi.org/10.3390/s22145117.

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Simultaneous localization and mapping (SLAM) system-based indoor mapping using autonomous mobile robots in unknown environments is crucial for many applications, such as rescue scenarios, utility tunnel monitoring, and indoor 3D modeling. Researchers have proposed various strategies to obtain full coverage while minimizing exploration time; however, mapping quality factors have not been considered. In fact, mapping quality plays a pivotal role in 3D modeling, especially when using low-cost sensors in challenging indoor scenarios. This study proposes a novel exploration algorithm to simultaneou

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34

Wang, Yi-Zarn, Jeffery Rau, Anne E. Diebold, Adwoa Opoku-Boateng, J. Philip Boudreaux, and Eugene Woltering. "Neuroendocrine tumors (NETs) of unknown primary: Is early surgical exploration and aggressive debulking justifiable?" Journal of Clinical Oncology 31, no. 4_suppl (2013): 166. http://dx.doi.org/10.1200/jco.2013.31.4_suppl.166.

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166 Background: Neuroendocrine Tumors (NETs) are rare tumors that often present with vague symptoms. Identification and localization of the primary NET can be challenging and up to 10% of patients are classified as having an unknown primary. These patients have been thought to have a poor prognosis compared to those patients with a known primary. Treatments for patients with unknown primaries are directed towards symptom control and/or cytoreduction of metastatic disease. We hypothesized that early surgical exploration and discovery of a previously unknown primary will increase long-term survi

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Yu, Tianyou, Baosong Deng, Jianjun Gui, Xiaozhou Zhu, and Wen Yao. "Efficient Informative Path Planning via Normalized Utility in Unknown Environments Exploration." Sensors 22, no. 21 (2022): 8429. http://dx.doi.org/10.3390/s22218429.

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Exploration is an important aspect of autonomous robotics, whether it is for target searching, rescue missions, or reconnaissance in an unknown environment. In this paper, we propose a solution to efficiently explore the unknown environment by unmanned aerial vehicles (UAV). Innovatively, a topological road map is incrementally built based on Rapidly-exploring Random Tree (RRT) and maintained along with the whole exploration process. The topological structure can provide a set of waypoints for searching an optimal informative path. To evaluate the path, we consider the information measurement

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Zhang, Xu, Jiqiang Wang, Shuwen Wang, et al. "FAEM: Fast Autonomous Exploration for UAV in Large-Scale Unknown Environments Using LiDAR-Based Mapping." Drones 9, no. 6 (2025): 423. https://doi.org/10.3390/drones9060423.

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Autonomous exploration is a fundamental challenge for various applications of unmanned aerial vehicles (UAVs). To enhance exploration efficiency in large-scale unknown environments, we propose a Fast Autonomous Exploration Framework (FAEM) designed to enable efficient autonomous exploration and real-time mapping by UAV quadrotors in unknown environments. By employing a hierarchical exploration strategy that integrates geometry-constrained, occlusion-free ellipsoidal viewpoint generation with a global-guided kinodynamic topological path searching method, the framework identifies a global path t

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37

Bondio, Mariacarla Gadebusch, and Katharina-Luise Förg. "Erkundungen des Fremden." Medizinhistorisches Journal 57, no. 1 (2022): 2. http://dx.doi.org/10.25162/mhj-2022-0001.

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38

Al Khawaldah, Mohammad. "Multi-robot Exploration of Unknown Environment Using 2D Laser Scanner." Research Journal of Applied Sciences, Engineering and Technology 7, no. 23 (2014): 5057–62. http://dx.doi.org/10.19026/rjaset.7.899.

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Mohamed, Haytham, Adel Moussa, Mohamed Elhabiby, and Naser El-Sheimy. "Real-Time Efficient Exploration in Unknown Dynamic Environments Using MAVs." ISPRS International Journal of Geo-Information 7, no. 11 (2018): 450. http://dx.doi.org/10.3390/ijgi7110450.

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Micro aerial vehicles (MAVs) have been acknowledged as an influential technology for indoor search and rescue operations. The time constraint is a crucial factor in most search and rescue operations. The employed MAVs in indoor environments are characterized by short endurance flight time and limited payload weights. Hence, adding more batteries to extend the flight time is practically not feasible. Typically, most of the indoor missions’ environments might not be accessed and remain unknown. Working in such environments requires effective exploration and information gathering to save time and

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SUDO, Yuichi, Daisuke BABA, Junya NAKAMURA, Fukuhito OOSHITA, Hirotsugu KAKUGAWA, and Toshimitsu MASUZAWA. "A Single Agent Exploration in Unknown Undirected Graphs with Whiteboards." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E98.A, no. 10 (2015): 2117–28. http://dx.doi.org/10.1587/transfun.e98.a.2117.

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Kan, Xinyue, Hanzhe Teng, and Konstantinos Karydis. "Online Exploration and Coverage Planning in Unknown Obstacle-Cluttered Environments." IEEE Robotics and Automation Letters 5, no. 4 (2020): 5969–76. http://dx.doi.org/10.1109/lra.2020.3010455.

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Wang, Dongshu, Haitao Wang, and Lei Liu. "Unknown environment exploration of multi-robot system with the FORDPSO." Swarm and Evolutionary Computation 26 (February 2016): 157–74. http://dx.doi.org/10.1016/j.swevo.2015.09.004.

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Senthilkumar, K. S., and K. K. Bharadwaj. "Multi-robot exploration and terrain coverage in an unknown environment." Robotics and Autonomous Systems 60, no. 1 (2012): 123–32. http://dx.doi.org/10.1016/j.robot.2011.09.005.

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44

Finkelstein, David. "Unraveling Speke: The Unknown Revision of an African Exploration Classic." History in Africa 30 (2003): 117–32. http://dx.doi.org/10.1017/s036154130000317x.

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In late 1990 I found myself in the Department of Manuscripts at the National Library of Scotland in Edinburgh working on what was supposed to be a short-term project. The aim was to create a listing of uncataloged archival material relating to the eminent Edinburgh publishers William Blackwood & Sons. Famous for publishing George Eliot, Joseph Conrad, John Buchan, and Anthony Trollope, as well as for their monthly Blackwood's Magazine, the firm was a major presence in Edinburgh from 1805 to 1980. Over the years, most of their papers have accumulated in the National Library of Scotland, mak

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Cesa-Bianchi, Nicolò, Claudio Gentile, and Fabio Vitale. "Predicting the labels of an unknown graph via adaptive exploration." Theoretical Computer Science 412, no. 19 (2011): 1791–804. http://dx.doi.org/10.1016/j.tcs.2010.12.056.

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Zakiev, Aufar, Roman Lavrenov, Evgeni Magid, and Vadim Indelman. "Path planning for Indoor Partially Unknown Environment Exploration and Mapping." Proceedings of International Conference on Artificial Life and Robotics 23 (February 2, 2018): 399–402. http://dx.doi.org/10.5954/icarob.2018.os7-5.

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Kim, Min Jeong, Mina Choi, Yong Bum Kim, et al. "Exploration of unknown object by active touch of robot hand." International Journal of Control, Automation and Systems 12, no. 2 (2014): 406–14. http://dx.doi.org/10.1007/s12555-013-0328-x.

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Peng, Yong, Yue Hu, and Chuan Ai. "Modeling and Simulation of Cooperative Exploration Strategies in Unknown Environments." Complex System Modeling and Simulation 3, no. 4 (2023): 343–56. http://dx.doi.org/10.23919/csms.2023.0014.

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49

Elhammady, Mohamed Samy A., Mustafa K. Baskaya, and Roberto C. Heros. "Early elective surgical exploration of spontaneous intracerebral hematomas of unknown origin." Journal of Neurosurgery 109, no. 6 (2008): 1005–11. http://dx.doi.org/10.3171/jns.2008.109.12.1005.

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Object The management of non–life threatening spontaneous intraparenchymal hemorrhage with no obvious medical etiology in patients and the lack of findings on images has not been clearly defined. In general, the current practice is to treat these patients conservatively and repeat studies to rule out a treatable cause 6 weeks to 3 months later; more often than not these repeated studies fail to reveal any findings, and the patient is treated conservatively. For years, the senior author (R.C.H.) has treated these patients with early surgical exploration. This study was undertaken prospectively

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Martinez, Fredy, Angelica Rendon, and Fernando Martinez. "A Swarm-Based Flocking Control Algorithm for Exploration and Coverage of Unknown Environments." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 18 (July 19, 2023): 195–203. http://dx.doi.org/10.37394/23203.2023.18.20.

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The exploration of unknown environments can be beneficial for a variety of applications, such as inspection of industrial equipment, environmental monitoring, or search and rescue missions. In order to tackle this problem, swarm robotics has emerged as a promising approach due to its ability to leverage the collective behavior of a group of robots to explore an area efficiently. This paper proposes a swarmbased control algorithm for exploration and coverage of unknown environments. The algorithm utilizes shortrange distributed communication and sensing among agents, with no central unit, to co

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