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Off-Road Firefighting Vehicle for Wildfire Teams

An autonomous wildfire suppression robot designed to access

  • EMBER LINE_Off-Road Firefighting Vehicle for Wildfire Response Teams.

  • Key project functions include autonomous navigation and fire suppression.

  • Foldable Dozer Blade for Efficient Firebreak Construction and Enhanced Mobility

  • Autonomous Off-Road Firefighting Robot for Rapid, Safe Wildfire Suppression

  • Work Process: Sketch to Modeling

What it does

This project is a wildfire response mobility system designed to support firefighting teams in harsh terrains. It offers water spraying, bulldozing, and networked operation to access remote areas where traditional fire trucks or helicopters face limitations.


Your inspiration

Wildfire suppression involves a complex set of challenges that differ from those encountered in urban fires. Steep terrain and unstable forest environments often hinder access for standard fire trucks and personnel, while aerial water drops by helicopters are frequently limited in effectiveness due to topography and weather conditions. In such scenarios, rapid and agile mobility, secure access capabilities, and real-time collaborative response are critically required.


How it works

EmberLine is a collaborative wildfire response robot system. Multiple autonomous units operate via wireless networking to execute complex missions such as fire suppression, firebreak construction, and personnel support. Each robot is equipped with a bulldozer blade, high-pressure water sprayer, and rear-mounted hose. Its low-profile body and track-based wheels allow it to access rugged terrain unreachable by regular vehicles, carrying essential tools into fire zones. The front blade clears flammable materials to form effective fire lines, while the top-mounted water sprayer disperses water in all directions, creating a protective barrier for both the robot and nearby firefighters. Equipped with sensors and lights, EmberLine enhances visibility and detects hazards, acting as a smart assistant in the field. Through autonomous coordination, it improves the speed, safety, and effectiveness of wildfire response operations.


Design process

From the initial planning stage, the focus was on addressing real-world challenges encountered in wildfire zones—such as steep terrain, dense forests, and variable weather conditions—that limit access for traditional fire trucks and helicopters. Based on field requirements, early sketches defined the core functionalities which were developed into a detailed design. The robot features a wide, track-based mobility system for navigating rugged terrain and a foldable bulldozer blade mounted at the front for quickly creating firebreaks by pushing aside leaves, brush, and soil. It also integrates a high-pressure rotary water cannon capable of spraying suppressant over a wide area and a rear hose reel system to support extended firefighting operations. Each component was designed not only for its functional role but also with structural stability, transport efficiency, and practical operability in mind. For instance, the bulldozer blade folds into the body to enhance mobility and storage convenience, while the low-profile tracked chassis ensures stable movement on slippery and uneven slopes. During the 3D modeling and rendering, the design referenced heat-resistant and impact-resistant materials commonly used in firefighting equipment to convey durability and technical feasibility.


How it is different

Existing solutions for forest fire suppression use a direct, manpower-centered method. In particular, physical measures such as building fire lines are usually manual, which consumes a lot of time and manpower, and is at high risk. It is an integrated forest fire suppression robot system designed to overcome the limitations of these existing methods. It has a structure in which multiple equipment collaborates with each other and operates as a single system while simultaneously building fire lines and extinguishing fires. It can perform synchronized fire suppression operations based on designated areas or perform distributed fire suppression operations at the same time, resulting in outstanding performance in terms of efficiency and speed.


Future plans

To achieve an autonomous navigation system optimized for diverse terrains and mission scenarios, we will pursue continuous algorithmic learning and performance enhancement. This effort will be supported by in-depth research and analysis of critical components and advanced technologies. Leveraging the accumulated technical data and insights, we plan to systematically prepare and execute the development.


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