Design of a Snake-like Robot for Rapid Injury Detection in Patients with Hemorrhagic Shock

In the face of growing demand for emergency treatment in mass casualty incidents involving acute hemorrhagic shock, disaster sites often suffer from limited search and rescue manpower and inadequate medical detection capabilities. With the rapid development of robot technology, the deployment of robots provides greater flexibility and reliability in disaster emergency response and search and rescue work, which can effectively address the shortage of search and rescue forces and medical resources at disaster sites. This paper introduces a snake-like robot designed for the rapid triage of casualties with hemorrhagic shock. Through a structural design combining active wheels and orthogonal joints, the robot integrates the advantages of high-speed mobility of wheeled robots with the high flexibility of jointed robots so as to adapt to the complex environments typical of search and rescue scenarios. Meanwhile, the end of the robot is equipped with a visible light camera, an infrared camera and a voice interaction system, which realizes the rapid triage of casualties with hemorrhagic shock by collecting visible light, infrared and voice dialog data of the casualties. Through Webots software simulation and outdoor site simulation experiments, seven indicators of the designed snake-like search and rescue robot are verified, including walking speed, minimum passable hole size, climbing angle, obstacle-surmounting height, passable step size, ditch-crossing width and turning radius, as well as the effectiveness of collecting visible light images, infrared images and voice dialog data of the casualties.

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Publication Details

Journal
Applied Sciences
Published
2025-09-12
DOI
https://doi.org/10.3390/app15189999
Primary Topic
Advanced Malware Detection Techniques
Type
article
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article

Design of a Snake-like Robot for Rapid Injury Detection in Patients with Hemorrhagic Shock

Yunjiang Lou, Zhibin Li, Ran Shi
Applied Sciences
Advanced Malware Detection Techniques
article

Design of a Snake-like Robot for Rapid Injury Detection in Patients with Hemorrhagic Shock

Yunjiang Lou, Zhibin Li, Ran Shi
article en

Abstract

In the face of growing demand for emergency treatment in mass casualty incidents involving acute hemorrhagic shock, disaster sites often suffer from limited search and rescue manpower and inadequate medical detection capabilities. With the rapid development of robot technology, the deployment of robots provides greater flexibility and reliability in disaster emergency response and search and rescue work, which can effectively address the shortage of search and rescue forces and medical resources at disaster sites. This paper introduces a snake-like robot designed for the rapid triage of casualties with hemorrhagic shock. Through a structural design combining active wheels and orthogonal joints, the robot integrates the advantages of high-speed mobility of wheeled robots with the high flexibility of jointed robots so as to adapt to the complex environments typical of search and rescue scenarios. Meanwhile, the end of the robot is equipped with a visible light camera, an infrared camera and a voice interaction system, which realizes the rapid triage of casualties with hemorrhagic shock by collecting visible light, infrared and voice dialog data of the casualties. Through Webots software simulation and outdoor site simulation experiments, seven indicators of the designed snake-like search and rescue robot are verified, including walking speed, minimum passable hole size, climbing angle, obstacle-surmounting height, passable step size, ditch-crossing width and turning radius, as well as the effectiveness of collecting visible light images, infrared images and voice dialog data of the casualties.

Applied SciencesVol. 15(18)
Shenzhen Polytechnic University (CN), Harbin Institute of Technology (CN)
Openalex Percentile: Top 69%
Advanced Malware Detection Techniques
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Design of a Snake-like Robot for Rapid Injury Detection in Patients with Hemorrhagic Shock — Yunjiang Lou, Zhibin Li, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS