Forest fires significantly threaten ecosystems, biodiversity, and the environment. Rapid response is crucial to prevent extensive damage. This paper explores the potential of mobile robots as first responders in forest fire management. Various design approaches for these robots, along with detailed discussions on data acquisition techniques and navigation methods. The study delves into the integration of advanced sensors and artificial intelligence for precise fire detection and efficient path planning in challenging terrains. Emphasis is placed on the ability of these robots to operate autonomously, ensuring rapid deployment and minimizing human risk during fire emergencies. This research aims to provide actionable insights for developing next-generation robotic solutions, fostering a safer and more sustainable approach to forest fire management. a comparative analysis of existing robotic models is presented, focusing on their strengths, limitations, and applications in real-world scenarios.