A Low-Cost Urban Search and Rescue Robot for Developing Countries

Sharmin, Sadia; Salim, Saiful Islam; Sanim, Kazi Ragib Ishraq

doi:10.1109/raaicon48939.2019.27

Cited by 8 publications

(5 citation statements)

References 11 publications

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“…Efforts were made by Sharmin et al [51] to develop a low-cost SAR. Since inexpensiveness of the end-product was a principal objective motivating the development of this project, the researchers ensured that it was created to be low-cost and simple to build using readily available components, thus making it suitable for developing countries like Bangladesh.…”

Section: Sar Using Rf Technologymentioning

confidence: 99%

“…Further, a 4-W LED flash light, which can be switched on and off from a distance, was used. Sharmin et al [51] further decide to include a small audio signal receiver (walkie-talkie) on board that can communicate with another one at the station within 1 km. As a result, rescuers will be able to communicate with the people at the station.…”

Section: Sar Using Rf Technologymentioning

confidence: 99%

“…Finally, the battery has a minimum run time of 30 min (Figure 2). Cables are required along the perimeter Volumetric range is limited [34], [51],…”

Section: Flow Diagrammentioning

confidence: 99%

See 2 more Smart Citations

Multiple Sensor based Human Detection Robots: A Review

Vellingiri,

Mohanasundaram,

Tamilselvan

et al. 2023

International Journal on Smart Sensing and Intelligent Systems

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Many natural disasters occur in today's world, resulting in the loss of human life. The application of sensor technology would not stop natural disasters from happening, but it will help those who are affected. It will take time and effort to find the humans who are still alive beneath the rubbles. Ordinary bots that are assigned to rescue missions involving the discovery of living humans trapped beneath massive piles of debris are ordinarily subject to repeated harm arising from continuous contact with the damaged structures. As a result, a significant demand for sensors exists. Sensors are becoming more important as a means of gathering sensory data from the affected area. It is possible to locate humans who are still alive, as well as ascertain the condition of victims who require immediate medical attention in order to survive, using this information. The primary goal of this study is to provide an overview of current sensor-based rescue robot research. Several papers were reviewed in the areas of design, interfacing, controlling, simulation, and applications. Furthermore, this review discusses the use of sensors in the detection of humans as well as the potential for future developments.

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Section: Sar Using Rf Technologymentioning

confidence: 99%

Section: Sar Using Rf Technologymentioning

confidence: 99%

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Multiple Sensor based Human Detection Robots: A Review

Vellingiri,

Mohanasundaram,

Tamilselvan

et al. 2023

International Journal on Smart Sensing and Intelligent Systems

View full text Add to dashboard Cite

show abstract

“…These robots should transmit vital data to the relevant people accurately and quickly to speed up search and rescue activities. However, robots used for search and rescue are costly, and there is no government incentive or funding for the construction and production of such robots [6]. Therefore, this is not an option for most underdeveloped countries.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Machine Learning Algorithms on Multi-Robot Coordination

Yi̇ği̇t

Cankaya

2022

Electronics

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Occasionally, professional rescue teams encounter issues while rescuing people during earthquake collapses. One such issue is the localization of wounded people from the earthquake. Machines used by rescue teams may cause crucial issues due to misleading localization. Usually, robot technology is utilized to address this problem. Many research papers addressing rescue operations have been published in the last two decades. In the literature, there are few studies on multi-robot coordination. The systems designed with a single robot should also overcome time constraints. A sophisticated algorithm should be developed for multi-robot coordination to solve that problem. Then, a fast rescuing operation could be performed. The distinctive property of this study is that it proposes a multi-robot system using a novel heuristic bat-inspired algorithm for use in search and rescue operations. Bat-inspired techniques gained importance in soft-computing experiments. However, there are only single-robot systems for robot navigation. Another original aspect of this paper is that this heuristic algorithm is employed to coordinate the robots. The study is devised to encourage extended work related to earthquake collapse rescue operations.

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“…By leveraging multiple vehicles instead of only one, it is possible to perform more operations, and complete a task faster and more efficiently. Examples of such operations that can benefit from the use of multi-vehicle systems are search and rescue operations [2] depicted in Fig. 1, surveillance [3], military convoying/platooning [4], and exploration missions [5].…”

Section: Introductionmentioning

confidence: 99%

Detection and Inference of Randomness-based Behavior for Resilient Multi-vehicle Coordinated Operations

Bonczek

Bezzo

2021

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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A resilient multi-vehicle system cooperatively performs tasks by exchanging information, detecting and removing cyber-attacks that have the intent of hijacking or diminishing performance of the entire system. In this paper, we propose a framework to: i) detect and isolate misbehaving vehicles in the network, and ii) securely encrypt information among the network to alert and attract nearby vehicles toward points of interest in the environment without explicitly broadcasting safety-critical information. To accomplish these goals, we leverage a decentralized virtual spring-damper mesh physics model for formation control on each vehicle. To discover inconsistent behavior of any vehicle in the network, we consider an approach that monitors the changes in residual sign between the expected and the predicted states of neighbor vehicles, raising an alarm any time the signed behavior does not match with an expectation. Similarly, to disguise important information and trigger vehicles to switch to different behaviors, we leverage side-channel information on the state of the vehicles and characterize a different spring-damper signature model detectable by neighbor vehicles for consistency checking. Our framework is demonstrated in simulation and through experiments on formations of unmanned ground vehicles (UGVs) in the presence of malicious man-in-the-middle (MITM) communication attacks.

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A Low-Cost Urban Search and Rescue Robot for Developing Countries

Cited by 8 publications

References 11 publications

Multiple Sensor based Human Detection Robots: A Review

Multiple Sensor based Human Detection Robots: A Review

Implementation of Machine Learning Algorithms on Multi-Robot Coordination

Detection and Inference of Randomness-based Behavior for Resilient Multi-vehicle Coordinated Operations

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