• 2025-10-31
• A. Oyelami, A. Okon, O. Ganiyu, M. Oladapo
• Volume 1, Issue 2

Abstract

Autonomous fire-fighting robots offer significant potential in enhancing firefighter safety and operational efficiency. However, their navigation capabilities in complex and dynamic environments like fire scenes at obscure locations remain a critical challenge. In order to enhance autonomous firefighting robots' navigational capabilities, this study looks into integrating SLAM (simultaneous localization and mapping) with multi-fused sensors. Sensor fusion algorithms were implemented by combining information from cameras, ultrasonic sensors, and LiDAR to instantly identify and steer clear of obstacles. The robot may dynamically modify its course to maximize its travel towards the fire source and avoid obstructions by integrating real-time sensor data into the path planning process. The adopted approach has significantly improved the navigation capabilities of autonomous fire-fighting robots, leading to increased safety and effectiveness in firefighting operations. This research contributes to the advancement of robotic technology for emergency response applications, potentially saving lives and property.

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