Structure design of a miniature and jumping robot for search and rescue

Yang, Xiaoning

doi:10.1049/joe.2018.8952

Cited by 3 publications

(3 citation statements)

References 5 publications

(3 reference statements)

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“…6 According to official statistics from the Pakistani government, 87,350 people were killed, 138,000 injured, and 3.5 million became homeless. 7 The seismic fault line crosses the central market in Balakot 8 ; therefore, it was severely ruined.…”

Section: ) Balakot Earthquake Studymentioning

confidence: 99%

“…Let us revisit the rescue techniques as most of the countries are still using manual methods. The most common methods being used today are robots [6], [7], and radars [8], but both are a bit expensive and are not available in developing countries, where unfortunately the majority of the structural damages occur. The other solutions are based on cameras [9], sensors [1], [10], [11], UAV's [12] and, biobots [13].…”

mentioning

confidence: 99%

“…https://en.wikipedia.org/wiki/Balakot 6 https://earthquake.usgs.gov/earthquakes/eventpage/ usp000e12e#executive7 http://www.ndma.gov.pk/publications.php 8 http://www.gsp.gov.pkpublication…”

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confidence: 99%

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Towards Debris Information Analysis and Abstraction for Wi-Fi Radar Edge in Collapsed Structures

2019

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Structural collapses are widespread, owing to a surge in climatic changes, earthquakes, and terrorism. Therefore, there are some technological rescue methods in practice that involve sensors, radars, cameras, microphones, and robots. However, deployment of these techniques faces at least one issue amongst cost, availability, and technical expertise, which limits their application in developing countries. So, there is a dire need for a low-cost and easy deployable rescue method. Recently, we witnessed an increasing trend of using Wi-Fi radios as sensing modality for various applications, including breathing detection and localization, thus leading to device-free communication. Based on this, we may envisage having a Wi-Fi rescue solution. However, Wi-Fi signals cannot easily penetrate through collapsed structures due to the multilayered obstacle scenario. So, in this study, we focus our research on the proper information analysis and abstraction of debris and also present the possible methodology to have better coverage for Wi-Fi signals using Wi-Fi radar edge. We define two objectives of this work; 1) debris information analysis and 2) the Wi-Fi signal propagation mechanism, respectively. We achieve our first goal by conducting site surveys of earthquake-hit areas that enable us to analyze the causes and types of structural collapses followed by debris concept selection model. We employ a bijective soft set approach to accurately select the debris based on the complexity and nature of structural engineering followed. Moreover, we use the Wi-Fi Halow radar edge for wireless signal propagation and perform extensive simulations at low power. Finally, we compare both methods and discuss prospects. INDEX TERMS Collapsed structure, coverage, debris, rescue, bijective soft set, Wi-Fi radar. I. INTRODUCTION Post-disaster rescue from collapsed structures using ubiquitous methods is getting more attention from the research community owing to the surge in climate changes, earthquakes, war, and terrorism [1]. According to studies [2], [3], the first 72 hours are very crucial for the survival of missing or trapped humans. Therefore, there are many rescue techniques in literature, such as robots, cameras, radars, and sensors, etc. However, cost and non-availability limit applications of these methods in developing countries. But, with the realization of leveraging Wi-Fi signals as sensing The associate editor coordinating the review of this manuscript and approving it for publication was Honghao Gao. information [4], the research trend has shifted to widget free solutions in each domain, as these are readily available and deployable. However, these Wi-Fi signals are weak if subjected to penetration through collapsed structures for rescue. So, in this paper, we study the nature of debris and its proper modeling to address the weak Wi-Fi signal strength through a low-powered Wi-Fi radar approach. A. PRIOR WORK AND MOTIVATION We observe that natural and human-made phenomena such as climatic changes, earthquakes, fire, war, and te...

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Section: ) Balakot Earthquake Studymentioning

confidence: 99%

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confidence: 99%

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Towards Debris Information Analysis and Abstraction for Wi-Fi Radar Edge in Collapsed Structures

2019

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Multi-objective Optimization of Autonomous Obstacle Surmounting Action for Tracked Robot Based on NSGA-II Algorithm

Zhang

Sun

et al. 2022

Lecture Notes in Electrical Engineering

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Design of AI-Enhanced and Hardware-Supported Multimodal E-Skin for Environmental Object Recognition and Wireless Toxic Gas Alarm

Li,

Wang,

Luo

et al. 2024

Nano-Micro Lett.

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Post-earthquake rescue missions are full of challenges due to the unstable structure of ruins and successive aftershocks. Most of the current rescue robots lack the ability to interact with environments, leading to low rescue efficiency. The multimodal electronic skin (e-skin) proposed not only reproduces the pressure, temperature, and humidity sensing capabilities of natural skin but also develops sensing functions beyond it—perceiving object proximity and NO2 gas. Its multilayer stacked structure based on Ecoflex and organohydrogel endows the e-skin with mechanical properties similar to natural skin. Rescue robots integrated with multimodal e-skin and artificial intelligence (AI) algorithms show strong environmental perception capabilities and can accurately distinguish objects and identify human limbs through grasping, laying the foundation for automated post-earthquake rescue. Besides, the combination of e-skin and NO2 wireless alarm circuits allows robots to sense toxic gases in the environment in real time, thereby adopting appropriate measures to protect trapped people from the toxic environment. Multimodal e-skin powered by AI algorithms and hardware circuits exhibits powerful environmental perception and information processing capabilities, which, as an interface for interaction with the physical world, dramatically expands intelligent robots’ application scenarios.

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Structure design of a miniature and jumping robot for search and rescue

Cited by 3 publications

References 5 publications

Towards Debris Information Analysis and Abstraction for Wi-Fi Radar Edge in Collapsed Structures

Towards Debris Information Analysis and Abstraction for Wi-Fi Radar Edge in Collapsed Structures

Multi-objective Optimization of Autonomous Obstacle Surmounting Action for Tracked Robot Based on NSGA-II Algorithm

Design of AI-Enhanced and Hardware-Supported Multimodal E-Skin for Environmental Object Recognition and Wireless Toxic Gas Alarm

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