Design of intelligent fire-fighting robot based on multi-sensor fusion and experimental study on fire scene patrol

Zhang, Shuo; Yao, Jiantao; Wang, Ruochao; Liu, Zisheng; Ma, Chenguang; Wang, Yingbin; Zhao, Yongsheng

doi:10.1016/j.robot.2022.104122

Cited by 19 publications

(4 citation statements)

References 19 publications

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“…SHUO ZHANG [24] This paper proposes a new intelligent firefighting robot that can operate autonomously. The robot uses multiple sensors (like cameras and thermal imagers) to navigate its environment and fight fires.…”

Section: Kiran [23]mentioning

confidence: 99%

A Review Paper on Fire Fighting Robot

sriram

2024

IJSREM

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Firefighting robots are becoming increasingly important tools for combatting fires, particularly in hazardous environments. This paper reviews the latest advancements in real-time wireless firefighting robots. We explore the design considerations, functionalities, and sensor technologies employed in these robots. The paper highlights the importance of autonomous navigation, fire source detection and localization, and fire suppression mechanisms for effective firefighting. We discuss various fire extinguisher options beyond traditional water-based systems to address the limitations of water in extinguishing specific fires. Additionally, the paper examines the role of real-time communication for remote control and data transmission, enabling firefighters to make informed decisions and ensure their safety during operations. Finally, the review concludes by emphasizing the potential of real-time wireless firefighting robots to revolutionize fire response strategies and improve firefighter safety. · Key Words: Firefighting robots, localization, fire suppression mechanisms

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Section: Kiran [23]mentioning

confidence: 99%

A Review Paper on Fire Fighting Robot

sriram

2024

IJSREM

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“…A proposal in [8] for an autonomous firefighting robot which employs water cannons and thermal imaging cameras to spot and put out fires. These robots' potential to assist with swift fire detection and intervention in potentially dangerous regions was particularly highlighted.…”

Section: Introductionmentioning

confidence: 99%

Solar Saviour: An Arduino-Based Firefighting Vehicle

Das

2024

IJSREM

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This paper presents the design and development of an innovative fire-fighting vehicle named "Solar Savior," integrating advanced technologies for efficient fire management and autonomous operation, is the subject of this study. The vehicle's real-time flame detection and autonomous navigation are powered by an Arduino microcontroller. Leveraging Bluetooth communication, a dedicated mobile phone application enables remote control, allowing safe operation in hazardous environments. The device allows for quick action when it detects flames by activating a water pump, sounding an alarm, and sending alerts to the control app. To gather sustainable energy and lessen dependency on outside power sources, Solar Savior also has solar panels. This increases operational efficiency. This work shows how to construct firefighting vehicles in an unconventional manner by combining autonomous capabilities with the incorporation of renewable energy sources for increased sustainability and safety. Key Words: Arduino, Bluetooth-communication, Remote-controlled, Mobile application, Renewable Energy, Fire Sensors.

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“…For robots to perform effectively in unstructured outdoor environments in real time, it is essential that they possess accurate, reliable, and robust perception capabilities. To achieve these characteristics, in general, autonomous robots in complex scenarios are equipped with several sensor modalities (that can be exteroceptive or proprioceptive) [5,6]. Different modalities such as sound, pressure, temperature, light, and contact have been used in robot environmental perception applications [7].…”

Section: Introductionmentioning

confidence: 99%

Challenges and Solutions for Autonomous Ground Robot Scene Understanding and Navigation in Unstructured Outdoor Environments: A Review

Wijayathunga,

Rassau,

Chai

2023

Applied Sciences

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The capabilities of autonomous mobile robotic systems have been steadily improving due to recent advancements in computer science, engineering, and related disciplines such as cognitive science. In controlled environments, robots have achieved relatively high levels of autonomy. In more unstructured environments, however, the development of fully autonomous mobile robots remains challenging due to the complexity of understanding these environments. Many autonomous mobile robots use classical, learning-based or hybrid approaches for navigation. More recent learning-based methods may replace the complete navigation pipeline or selected stages of the classical approach. For effective deployment, autonomous robots must understand their external environments at a sophisticated level according to their intended applications. Therefore, in addition to robot perception, scene analysis and higher-level scene understanding (e.g., traversable/non-traversable, rough or smooth terrain, etc.) are required for autonomous robot navigation in unstructured outdoor environments. This paper provides a comprehensive review and critical analysis of these methods in the context of their applications to the problems of robot perception and scene understanding in unstructured environments and the related problems of localisation, environment mapping and path planning. State-of-the-art sensor fusion methods and multimodal scene understanding approaches are also discussed and evaluated within this context. The paper concludes with an in-depth discussion regarding the current state of the autonomous ground robot navigation challenge in unstructured outdoor environments and the most promising future research directions to overcome these challenges.

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Design of intelligent fire-fighting robot based on multi-sensor fusion and experimental study on fire scene patrol

Cited by 19 publications

References 19 publications

A Review Paper on Fire Fighting Robot

A Review Paper on Fire Fighting Robot

Solar Saviour: An Arduino-Based Firefighting Vehicle

Challenges and Solutions for Autonomous Ground Robot Scene Understanding and Navigation in Unstructured Outdoor Environments: A Review

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