A local target enhanced reconnaissance algorithm based on autonomous exploration of robots

This study proposes a new robot autonomous exploration algorithm that enhances local target reconnaissance, addressing the shortcomings of existing autonomous exploration methods in recognizing specific targets locally and conducting further reconnaissance. The algorithm consists of two key parts: global autonomous exploration and local target reconnaissance. The global autonomous exploration module is responsible for map construction and autonomous exploration. The local target reconnaissance module is responsible for detecting and identifying preset targets. When a target that requires reconnaissance tasks is identified, it plans and explores the order of task execution. The experimental results show that compared with traditional methods, this algorithm successfully completes the target surround reconnaissance task in specific local target reconnaissance tasks, while providing more comprehensive environmental exploration.