Relevant bibliographies by topics / Robot search and rescue

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

Academic literature on the topic 'Robot search and rescue'

Author: Grafiati
Published: 5 June 2025
Last updated: 9 July 2025

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Journal articles on the topic "Robot search and rescue"

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Jung, Kyu Park, Park Howard, and Young Park Eun. "Search and Rescue Algorithm using a Cooperative Robot System." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 943–47. https://doi.org/10.35940/ijeat.B2332.029320.

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Cooperative robotics is very different from working on a single robot before. Cooperative robots can perform tasks that were previously impossible with a single robot. This robot research can be applied in computer science, artificial intelligence, and electrical engineering. This research aims to deal with tasks that are difficult or impossible to perform with a single robot. For this purpose, we propose a Se-Re (Search-and-Rescue) algorithm. In addition, the proposed algorithm is designed to allow multiple robots to collaborate in the area of work. Robots use wireless communication to collaborate and are organized in groups, which create environmental maps and share data with each other. The robot uses the shared area map to create a global map. Using this information, the robot does not revisit the previously visited area. The proposed algorithm can be applied both indoors and outdoors. Indoors can be used in general buildings as well as livestock housing, and outdoors can be used for landmine removal, human search, and rescue.
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Ajith, Varun. "Search and Rescue Robot." International Journal of Science, Engineering and Technology 12, no. 1 (2024): 1–6. http://dx.doi.org/10.61463/ijset.vol.12.issue1.112.

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Hebbar, Vijeth, and Cédric Langbort. "A Model for Tacit Communication in Collaborative Human-UAV Search-and-Rescue." Entropy 23, no. 8 (2021): 1027. http://dx.doi.org/10.3390/e23081027.

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Tacit communication can be exploited in human robot interaction (HRI) scenarios to achieve desirable outcomes. This paper models a particular search and rescue (SAR) scenario as a modified asymmetric rendezvous game, where limited signaling capabilities are present between the two players—rescuer and rescuee. We model our situation as a co-operative Stackelberg signaling game, where the rescuer acts as a leader in signaling its intent to the rescuee. We present an efficient game-theoretic approach to obtain the optimal signaling policy to be employed by the rescuer. We then robustify this approach to uncertainties in the rescue topology and deviations in rescuee behavior. The paper thus introduces a game-theoretic framework to model an HRI scenario with implicit communication capacity.
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Gyarmati, Marton, Mihai Olimpiu Tătar, and Francisc Kadar. "Contributions to the development of search and rescue mobile robots." MATEC Web of Conferences 343 (2021): 08016. http://dx.doi.org/10.1051/matecconf/202134308016.

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In this paper the authors present contributions to the development of search and rescue mobile robots. The first part of the paper describes the characteristics of search and rescue field. In the second part the authors presented the development and construction of an experimental prototype focusing on the locomotion systems for the search and rescue field and the results of the physical experiments done and the design and development of a proposed search and rescue mobile robot based on the lessons learned from the experiments. The third part contains the operation and control of the robot. The fourth section presents the simulation of the hybrid locomotion system of the proposed search and rescue mobile robot. The last part of the paper contains the development directions and conclusions.
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Shang, Lei, Haibo Wang, Haiqing Si, Yao Li, and Ting Pan. "Investigating the Obstacle Climbing Ability of a Coal Mine Search-and-Rescue Robot with a Hydraulic Mechanism." Applied Sciences 12, no. 20 (2022): 10485. http://dx.doi.org/10.3390/app122010485.

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Due to the perilous conditions in coal mine accidents, trapped people need to be rescued as soon as possible. The danger and complexity of this environment have brought great difficulties for search and rescue. The emergence of rescue robots has addressed this problem, and the improvement of their search-and-rescue ability is a key concern for rescue robot designers. Based on previous experience of a tracked mobile robot, this paper proposes a new solution via the addition of adjustive rocker arms. For this purpose, a hydraulic unit is installed between the rocker arms and the robot, which enables the rocker arms to be pulled back and forth, enabling its adaptation to more complex environments. In addition, based on kinematics equations, by analyzing the motion rules and characteristics of climbing typical obstacles including stairs, grooves, and lug steps, the present research not only works out the centroid coordinates but also explores the maximal obstacle height. The results show that when the rocker arms are extended by hydraulic pressure, the obstacle-climbing height of the robot increases 16.7 percent. This demonstrates the improvement in obstacle climbing ability and rescue efficiency in complex environments.
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Su, Wei Hua, Jing Gong Sun, Fu Niu, and Xin Yue Xu. "The Human-Robot Interaction: An Investigation of Rescue Robot." Advanced Materials Research 711 (June 2013): 523–28. http://dx.doi.org/10.4028/www.scientific.net/amr.711.523.

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The thesis research aimed to further the study of human-robot interaction (HRI) issues, especially regarding the development of rescue robot. The paper firstly discussed the status of the rescue robot and described the framework of human-robot interaction of search-rescue robot and rescue-evacuation robot. Subsequently, the general HRI issues will be discussed to explain how they affect the use of robots. Finally, we present suggested this multidisciplinary field of research, namely human-robot interaction, requires contributions from a variety of research fields such as robotics, human-computer interaction, and artificial intelligence.
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Xiang, Hong Wei, Chang Zheng Chen, and Chang Long Ye. "Analysis of Articulated Mobile Robots for the Urban Search and Rescue." Applied Mechanics and Materials 303-306 (February 2013): 1641–46. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.1641.

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Articulated structure of mobile robot presents high flexibility on the environment adaptation. It has been widely used on the mobile robot to get through rough terrain. This class of robots named as articulated mobile robots can move in hard condition with high stability and environment adaptability. In order to satisfy the requirement of Urban Search and Rescue (USAR), a series of articulated mobile robots are analyzed. The performance of articulated mobile robots is analyzed for get an appropriate robot for USAR. Two snake-like robots named Perambulator I and II are analyzed. Based on the structure of Perambulator II, the articulated mobile robot Ameba II are presented based on track drive mechanism. Ameba II has high performance on mobility and adaptability in complex environment. The comparisons among of some typical articulated robots are given based on mobility and environment adaptation. The experimental results of both Perambulator II and Ameba II show that the Ameba II mobile robot is a better than the snake-like robot Perambulator II on the urban search and rescue applications.
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Mohan, P. Aswanth. "Autonomous Search and Rescue Robot." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42049.

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- In disaster-stricken environments, traditional search and rescue methods often encounter significant challenges due to adverse conditions such as smoke, fog, darkness, or complex terrains. Advancements in autonomous robotics and sensor technologies provide effective solutions to enhance the efficiency and reliability of rescue operations. This work focuses on the development of an autonomous search and rescue robot equipped with LiDAR based mapping and thermal imaging technology. The LiDAR system enables real-time 2D mapping of the environment, ensuring precise navigation and obstacle avoidance in dynamic and unstructured terrains. At the same time, the thermal imaging system detects heat signatures, allowing the identification and localization of humans or animals that may be obscured by environmental hazards. The proposed robotic system is designed to operate in disaster scenarios where human intervention is difficult or hazardous. By utilizing LiDAR for navigation and thermal imaging for survivor detection, the robot can autonomously move through challenging terrains while effectively identifying potential survivors. The integration of advanced sensing technologies with intelligent navigation algorithms enhances adaptability and reliability in critical situations. This approach aims to improve the speed and accuracy of locating victims, ultimately contributing to more effective and life-saving search and rescue missions. Key Words: Autonomous, ROS Neotic, LIDAR, Teleoperation, Ubuntu Mate, Ubuntu Server, Navigation
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Chen, Keyu, and Fengye Tian. "Design of Micro Search-and-Rescue Robot System and Analysis of Its Application in Disaster Rescue." Highlights in Science, Engineering and Technology 76 (December 29, 2023): 8–15. http://dx.doi.org/10.54097/mmfhne27.

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In recent years, many major natural disasters have occurred in the world, and among these major natural disasters, earthquakes are the most destructive. In the post-earthquake disaster areas, there are many ruins, which will reduce the efficiency of search and rescue and increase the risk of search and rescue. Some of the ruins were inaccessible to people, and it was difficult for search-and-rescue personnel to determine whether there were survivors. In order to improve the efficiency of search and rescue, reduce the risk of search and rescue, and reduce the investment of search-and-rescue personnel, micro search-and-rescue robots are designed. A variety of sensors are installed on the micro search-and-rescue robot for efficient search and rescue, a communication system is installed for data transmission, and a motor system is installed to overcome obstacles. This paper also discusses possible problems and proposes corresponding solutions. However, limited by existing technologies, some problems cannot be completely solved. In the future, the investment of micro search-and-rescue robots will save more lives.
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Semenas, Rokas, and Romualdas Bausys. "Modelling of Autonomous Search and Rescue Missions by Interval-Valued Neutrosophic WASPAS Framework." Symmetry 12, no. 1 (2020): 162. http://dx.doi.org/10.3390/sym12010162.

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The application of autonomous robots in search and rescue missions represents a complex task which requires a robot to make robust decisions in unknown and dangerous environments. However, imprecise robot movements and small measurement errors obtained by robot sensors can have an impact on the autonomous environment exploration quality, and therefore, should be addressed while designing search and rescue (SAR) robots. In this paper, a novel frontier evaluation strategy is proposed, that address technical, economic, social, and environmental factors of the sustainable environment exploration process, and a new extension of the weighted aggregated sum product assessment (WASPAS) method, modelled under interval-valued neutrosophic sets (IVNS), is introduced for autonomous mobile robots. The general-purpose Pioneer 3-AT robot platform is applied in simulated search and rescue missions, and the conducted experimental assessment shows the proposed method efficiency in commercial and public-type building exploration. By addressing the estimated measurement errors in the initial data obtained by the robot sensors, the proposed decision-making framework provides additional reliability for comparing and ranking candidate frontiers. The interval-valued multi-criteria decision-making method combined with the proposed frontier evaluation strategy enables the robot to exhaustively explore and map smaller SAR mission environments as well as ensure robot safety and efficient energy consumption in relatively larger public-type building environments.
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Dissertations / Theses on the topic "Robot search and rescue"

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Litter, Jansen J. "Mobile robot for search and rescue." Ohio : Ohio University, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1176921842.

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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 thereby increase the understanding for these principles and how they interact with each other. Furthermore, the thesis project reviews the recent and the current status of robots in USAR applications and use of teleoperation and semi-autonomous robots in general. Some conclusions that are drawn towards the end of the thesis are that the use of robots, especially in USAR situations, will continue to increase. As robots and support technology both become more advanced and cheaper by the day, teleoperation and semi-autonomous robots will also be seen in more and more places.</p><p> </p>
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Akdemir, Gümüş Derya Keçeci Emin Faruk. "Design of a rescue robot for search and mapping operation/." [s.l.]: [s.n.], 2006. http://library.iyte.edu.tr/tezlerengelli/master/makinamuh/T000546.pdf.

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Thesis (Master)--İzmir Institute of Technology, İzmir, 2006.<br>Keywords: Robot design, mechanical applications, rescue, mapping, search robot, rescue robot. Includes bibliographical references (leaves 65-66).
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Topal, Sebahattin. "Multi-robot Coordination Control Methodology For Search And Rescue Operations." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613841/index.pdf.

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This dissertation presents a novel multi-robot coordination control algorithm for search and rescue (SAR) operations. Continuous and rapid coverage of the unstructured and complex disaster areas in search of possible buried survivors is a time critical operation where prior information about the environment is either not available or very limited. Human navigation of such areas is definitely dangerous due to the nature of the debris. Hence, exploration of unknown disaster environments with a team of robots is gaining importance day by day to increase the efficiency of SAR operations. Localization of possible survivors necessitates uninterrupted navigation of robotic aiding devices within the rubbles without getting trapped into dead ends. In this work, a novel goal oriented prioritized exploration and map merging methodologies are proposed to generate efficient multi-robot coordination control strategy. These two methodologies are merged to make the proposed methodology more realistic for real world applications. Prioritized exploration of an environment is the first important task of the efficient coordination control algorithm for multi-robots. A goal oriented and prioritized exploration approach based on a percolation model for victim search operation in unknown environments is presented in this work. The percolation model is used to describe the behavior of liquid in random media. In our approach robots start prioritized exploration beginning from regions of the highest likelihood of finding victims using percolation model inspired controller. A novel map merging algorithm is presented to increase the performance of the SAR operation in the sense of time and energy. The problem of merging partial occupancy grid environment maps which are extracted independently by individual robot units during search and rescue (SAR) operations is solved for complex disaster environments. Moreover, these maps are combined using intensity and area based features without knowing the initial position and orientation of the robots. The proposed approach handles the limitation of existing works in the literature such as<br>limited overlapped area between partial maps of robots is sufficient for good merging performance and unstructured partial environment maps can be merged efficiently. These abilities allow multi-robot teams to efficiently generate the occupancy grid map of catastrophe areas and localize buried victim in the debris efficiently.
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Guirguis, Maria (Maria A. ). "Robot search and rescue : a comparison of 3D mapping techniques." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61000.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (p. 25-26).<br>Modern robots are involved in sophisticated manipulations of their environment, and for that they need extensive knowledge of their surroundings. 3D mapping allows for the creation of such complex maps, and here we explore some of the options available for the creation of 3D maps. We consider using 2D and 3D sensors to see how helpful the extra information is.<br>by Maria Guirguis.<br>M.Eng.
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Mirhassani, Seyedmohsen <1989&gt. "A Ground Robot for Search And Rescue in Hostile Environment." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amsdottorato.unibo.it/8416/7/Mirhassani_final.pdf.

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The recent sheer developments in the field of robotics has encouraged the researcher to consider the robots assisting human in different aspects of life. In this context, search and rescue is a very interesting ambient where the capabilities offered by the robots can be used to not only augment the quality of service but also impose lower risk to the human members of the rescue team. To this purpose, project SHERPA has been defined to investigate an intelligent heterogeneous robotic team in a search and rescue mission. The robotic team includes flying robots such as fixed wing and quad copters for the purpose of patrolling and surveillance and a ground rover that is mainly considered to provide a mobile power replenishment service for the quadrotors. Navigation of the ground rover on the unstructured outdoor environment defined by the SHERPA is of the main focuses of this thesis. Due to roughness of the terrain, there are a lot of issues on the way of a successful localization. Moreover, the planning has to be compatible with the robot and environment constraints to avoid imposing a risk of mechanical damage to the system. To accomplish the battery exchange operation, the rover is equipped with two auxiliary devices namely "Sherpa box" and "Sherpa robotic arm". In this thesis, firstly, designs of the two devices are introduced to the reader in details. Secondly, their integration with the ground rover will be covered. Finally two important benchmarks of the SHERPA project, namely "human leashing" and "battery exchange operation", will be addressed.
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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 error by matching the new scan to the globally defined grid map. To improve the accuracy of the correction, each grid cell of the map is represented by multiple normal distributions (NDs). The new scan to be matched to the map is also represented by NDs, which achieves the scan-to-map matching by the ND-to-ND matching. In the map-based semi-autonomous robot navigation strategy, a robot placed in an environment creates the map of the environment and sends it to the human operator at a distant location. The human operator then makes decisions based on the map and controls the robot via tele-operation. In case of communication loss, the robot semi-autonomously returns to the home position by inversely tracking its trajectory with additional optimal path planning. In the fully-autonomous robotic solution to USAR, multiple robots communicate one another while operating together as a team. The base station collects information from each robot and assigns tasks to the robots. Unlike the semi-autonomous strategy there is no control from the human operator. To further enhance the<br />efficiency of their cooperation each member of the team specifically works on its own task.<br />A series of numerical and experimental studies were conducted to demonstrate the applicability of the proposed solutions to USAR scenarios. The effectiveness of the scan-to-map matching with the multi-ND representation was confirmed by analyzing the error accumulation and by comparing with the single-ND representation. The applicability of the scan-to-map matching to the real SLAM problem was also verified in three different real environments. The results of the map-based semi-autonomous robot navigation showed the effectiveness of the approach as an immediately usable solution to USAR. The effectiveness of the proposed fully- autonomous solution was first confirmed by two real robots in a real environment. The cooperative performance of the strategy was further investigated using the developed platform- and hardware-in-the-loop simulator. The results showed significant potential as the future solution to USAR.<br>Ph. D.
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Hunt, Alexander. "A Biologically Inspired Robot for Assistance in Urban Search and Rescue." Cleveland, Ohio : Case Western Reserve University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1270137669.

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Thesis (Master of Sciences (Engineering))--Case Western Reserve University, 2010<br>Department of EMC - Mechanical Engineering Title from PDF (viewed on 2010-05-25) Includes abstract Includes bibliographical references and appendices Available online via the OhioLINK ETD Center
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Giamou, Matthew Peter. "Place recognition for GNSS-denied autonomous multi-robot search and rescue." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112422.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 77-85).<br>Teams of agile unmanned aerial vehicles (UAVs) possess great potential for search and rescue missions requiring a rapid response over a large region of interest. With proper coordination, these robotic vehicles can leverage affordable hardware to efficiently search a remote region or disaster site for lost or injured people. However, effective search coordination requires that the robots successfully fuse information from their environment into an accurate and consistent localization and mapping scheme in order to ensure the entire region of interest is explored. This requires that the robots communicate observations of their environment or other robots to produce inter-robot trajectory and map constraints. The difficulty of this task is exacerbated in areas without Global Navigation Satellite System (GNSS) coverage, as absolute pose measurements are unavailable. This thesis explores solutions to the place recognition problem for UAVs under a dense forest canopy. The perception and communication challenges in a forest environment are explored for a multi-UAV system. A survey of existing place-recognition and multi-agent simultaneous localization and mapping (SLAM) systems is conducted and several candidate approaches are discussed, and a multi-agent pose-SLAM formulation is introduced as a practical framework. A state-of-the-art laser-based place recognition system is implemented and augmented with a Dirichlet process means (DP-means) clustering for stable feature selection. Finally, recent results describing some graph theoretic properties of SLAM problems are used in a resource-constrained SLAM framework. Experimental data collected from Middlesex Fells Reservation is used to validate the algorithms presented.<br>by Matthew Peter Giamou.<br>S.M.
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Nanjanath, Maitreyi. "Scale estimation by a robot in an urban search and rescue environment." Thesis, Texas A&M University, 2004. http://hdl.handle.net/1969.1/519.

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Urban Search and Rescue (USAR) involves having to enter and explore partially collapsed buildings in search for victims trapped by the collapse. There are many hazards in doing this, because of the possibility of additional collapses, explosions, fires, or flooding of the area being searched. The use of robots for USAR would increase the safety of the operation for the humans involved, and make the operation faster, because the robots could penetrate areas inaccessible to human beings. Teleoperated robots have been deployed in USAR situations to explore confined spaces in the collapsed buildings and send back images of the interior to rescuers. These deployments have resulted in the identification of several problems found during the operation of these robots. This thesis addresses a problem that has been encountered repeatedly in these robots: the determination of the scale of unrecognizable objects in the camera views from the robot. A procedure that would allow the extraction of size using a laser pointer mounted on the robot's camera is described, and an experimental setup and results that verify this procedure have been shown. Finally, ways to extend the procedure have been explored
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Books on the topic "Robot search and rescue"

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Tadokoro, Satoshi. Rescue robotics: DDT project on robots and systems for urban search and rescue. Springer, 2009.

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Allman, Toney. Jaws of life. Norwood House Press, 2008.

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IEEE, International Workshop on Safety Security and Rescue Robotics (5th 2007 Rome Italy). 2007 IEEE International Workshop on Safety, Security, and Rescue Robotics: Rome, Italy, 27-29 September 2007. IEEE Service Center, 2007.

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IEEE International Workshop on Safety, Security and Rescue Robotics (5th 2007 Rome, Italy). 2007 IEEE International Workshop on Safety, Security, and Rescue Robotics: Rome, Italy, 27-29 September 2007. IEEE Service Center, 2007.

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IEEE International Workshop on Safety, Security and Rescue Robotics (5th 2007 Rome, Italy). 2007 IEEE International Workshop on Safety, Security, and Rescue Robotics: Rome, Italy, 27-29 September 2007. IEEE Service Center, 2007.

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IEEE International Workshop on Safety, Security and Rescue Robotics (5th 2007 Rome, Italy). 2007 IEEE International Workshop on Safety, Security, and Rescue Robotics: Rome, Italy, 27-29 September 2007. IEEE Service Center, 2007.

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McLennan, Rob. Search & rescue. Mercutio Press], 2003.

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Cox, Greg. Search and rescue. BP Books, 1999.

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Emert, Phyllis Raybin. Search & rescue dogs. Crestwood House, 1985.

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Glen, Samantha. Search and rescue. Fawcett Crest, 1997.

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Book chapters on the topic "Robot search and rescue"

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Guo, Tongying, Hui Zhang, and Lincang Zhu. "Ruin Search and Rescue Robot." In Special Robot Technology. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0589-8_6.

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Sarıel, Sanem, and H. Levent Akın. "A Novel Search Strategy for Autonomous Search and Rescue Robots." In RoboCup 2004: Robot Soccer World Cup VIII. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-32256-6_40.

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Jácome, Mélany Yarad, Fernando Alvear Villaroel, and Junior Figueroa Olmedo. "Ground Robot for Search and Rescue Management." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-24985-3_29.

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Murphy, Robin, and Jenn Casper. "Human-Robot Interactions in Robot-Assisted Urban Search and Rescue." In Multi-Robot Systems: From Swarms to Intelligent Automata. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-2376-3_24.

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Kleiner, Alexander, Michael Brenner, Tobias Bräuer, et al. "Successful Search and Rescue in Simulated Disaster Areas." In RoboCup 2005: Robot Soccer World Cup IX. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11780519_29.

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Anh, Nguyen Duc, Ravishankara Kulamarva, D. Suresha, and Nguyen Quang Vinh. "Stable Control of Underwater Target Search Robot Support Rescue and Rescue Work." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-75608-5_12.

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Kohlbrecher, Stefan, Florian Kunz, Dorothea Koert, et al. "Towards Highly Reliable Autonomy for Urban Search and Rescue Robots." In RoboCup 2014: Robot World Cup XVIII. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18615-3_10.

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Luo, Yifan, Jinguo Liu, Yang Gao, and Zhenli Lu. "Smartphone-Controlled Robot Snake for Urban Search and Rescue." In Intelligent Robotics and Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13966-1_35.

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Minhoto, Vitor, Tiago Santos, Luís Torres E Silva, et al. "Man-Machine Symbiosis UAV Integration for Military Search and Rescue Operations." In Robot 2023: Sixth Iberian Robotics Conference. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59167-9_19.

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Caltieri, Alain, and Francesco Amigoni. "High-Level Commands in Human-Robot Interaction for Search and Rescue." In RoboCup 2013: Robot World Cup XVII. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44468-9_42.

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Conference papers on the topic "Robot search and rescue"

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Tian, Hua, Xueyu An, Binghang Wu, and Haowei Bian. "Underwater Robot Terrain Modeling Search and Rescue Algorithm." In 2024 9th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS). IEEE, 2024. http://dx.doi.org/10.1109/acirs62330.2024.10684911.

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Saha, Arajit, MD Zahidul Islam, and Shuvra Mondal. "Hazard Hunter: A Low Cost Search and Rescue Robot." In 2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT). IEEE, 2024. http://dx.doi.org/10.1109/iconscept61884.2024.10627850.

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Salazar, Yenikarina, and Iván Armuelles Voinov. "Towards the Definition of a Low-Cost Search and Rescue Robot Architecture." In 2024 IEEE Central America and Panama Student Conference (CONESCAPAN). IEEE, 2024. https://doi.org/10.1109/conescapan62181.2024.10891094.

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Herbert, Sam, Nathaniel Bird, Andrew Drenner, and Nikolaos Papanikolopoulos. "A search and rescue robot." In 2009 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2009. http://dx.doi.org/10.1109/robot.2009.5152223.

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Bosscher, Paul, Robert L. Williams, and Melissa Tummino. "A Concept for Rapidly-Deployable Cable Robot Search and Rescue Systems." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84324.

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Abstract:
This paper introduces a new concept for robotic search and rescue systems. This system uses a rapidly deployable cable robot to augment existing search and rescue mobile robots. This system can greatly increase the range of mobile robots as well as provide overhead views of the disaster site, allowing rescue workers to reach survivors as quickly as possible while minimizing the danger posed to rescue workers. In addition to the system concept, this paper presents a novel kinematic structure for the cable robot, allowing simple translation-only motion (with moment-resisting capability) and easy forward and inverse kinematics for a 3-DOF spatial manipulator. Also, a deployment sequence is described, a rapid calibration algorithm is presented and the workspace of the manipulator is investigated.
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Maruyama, Haruo, and Kazuyuki Ito. "Semi-autonomous snake-like robot for search and rescue." In Rescue Robotics (SSRR). IEEE, 2010. http://dx.doi.org/10.1109/ssrr.2010.5981559.

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Craighead, Jeff. "Using fractal dimension to assess robot operator search skill." In Rescue Robotics (SSRR). IEEE, 2009. http://dx.doi.org/10.1109/ssrr.2009.5424146.

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Nawrocki, Robert A., Sean E. Shaheen, Xiaoting Yang, and Richard Voyles. "Towards an all-polymer robot for search and rescue." In Rescue Robotics (SSRR). IEEE, 2009. http://dx.doi.org/10.1109/ssrr.2009.5424154.

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Tran, Jimmy, Alexander Ferworn, Martin Gerdzhev, and Devin Ostrom. "Canine Assisted Robot Deployment for Urban Search and Rescue." In Rescue Robotics (SSRR). IEEE, 2010. http://dx.doi.org/10.1109/ssrr.2010.5981564.

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Cai Luo, Andre Possani Espinosa, Danu Pranantha, and Alessandro De Gloria. "Multi-robot search and rescue team." In 2011 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR). IEEE, 2011. http://dx.doi.org/10.1109/ssrr.2011.6106746.

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Reports on the topic "Robot search and rescue"

1

Hudock, Bryan M. Development of an Urban Search and Rescue Robot. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada416121.

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Scholtz, Jean, Jeff Young, Holly A. Yanco, and Jill L. Drury. Evaluation of Human-Robot Interaction Awareness in Search and Rescue. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada456128.

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Bone, John R. Combat Search and Rescue - Military Stepchild. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada202204.

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Dowling, Michael G. Amphibious Search and Rescue: Shaping the Future. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada403969.

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Whitcomb, Darrel D. Combat Search and Rescue in Desert Storm. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada459903.

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Mullarky, J. W. Combat Search and Rescue -- the Cinc's Dilemma. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada222776.

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Lukowski, T. I., and F. Charbonneau. Synthetic Aperture Radar and Search and Rescue. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/219668.

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Looney, David A. Current Air Force Combat Search and Rescue Challenges. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada540056.

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Lukowski, T. I., and F. Charbonneau. Synthetic Aperture Radar (SAR) and Search and Rescue. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/219707.

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Hansen, Darren T. Combat Search and Rescue: Should it be a Joint Requirement? Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada389899.

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