| Issue |
ITM Web Conf.
Volume 84, 2026
2026 International Conference on Advent Trends in Computational Intelligence and Data Science (ATCIDS 2026)
|
|
|---|---|---|
| Article Number | 04019 | |
| Number of page(s) | 11 | |
| Section | Computer Vision, Robotic Systems, and Intelligent Control | |
| DOI | https://doi.org/10.1051/itmconf/20268404019 | |
| Published online | 06 April 2026 | |
Validation of The Scale Model of The Semi-automatic Lifebuoy Throwing Robot
School of Mechanical and Electronic Control Engineering, Beijing Jiaotong University, Beijing, China, 100044
* Corresponding author’s email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
China’s extensive coastlines, inland rivers, and numerous reservoirs present persistent risks of drowning accidents, highlighting a critical need for technological intervention in water safety and emergency response. To address the urgent challenge of reducing response time and improving rescue success rates, this paper focuses on the research and development of an automated rescue device. Specifically, we present the design, implementation, and evaluation of a novel semi-automatic lifebuoy-launching robot. The development process involved a systematic analysis of operational requirements, leading to the creation of a compact, modular mechanical structure optimized for stability and rapid deployment. The core electronic control system integrates machine vision for initial target detection, a precise motor-driven launching mechanism, and a reliable wireless communication module for remote operator control. This combination allows for a “human-in-the-loop” operation where an operator confirms the target and triggers the launch, ensuring decision-making reliability. A series of controlled experiments and field tests were conducted in simulated environments, including swimming pools and calm open-water areas. The results demonstrate that the robot can consistently and accurately project a standard lifebuoy to a designated target zone within a defined range, effectively bridging the critical gap before human rescuers arrive. The system proves to be a practical and efficient technological aid, capable of enhancing the existing rescue framework. This study not only validates a functional prototype but also provides a significant reference point for the future development of more autonomous, intelligent, and adaptive robotic systems in aquatic rescue, potentially contributing to a substantial decrease in water-related fatalities.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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