Frontier Detection

Frontier detection in robotics focuses on enabling autonomous agents, such as drones and robots, to efficiently explore unknown environments by identifying boundaries between explored and unexplored areas. Current research emphasizes developing faster and more efficient frontier detection algorithms, often employing probabilistic roadmaps, rapidly-exploring random trees (RRTs), or hybrid approaches that incorporate heuristic functions to guide exploration and optimize path planning, particularly in dynamic environments. These advancements improve the speed and efficiency of autonomous exploration, with significant implications for applications like search and rescue, environmental monitoring, and infrastructure inspection.