In this paper we study the problem of a robot searching for a visually recognizable target in an unknown simple polygon. We present two algorithms. Both work for arbitrarily oriented polygons. The search cost is proportional to the distance traveled by the robot. We use competitive analysis to judge the performance of our strategies. The first one is a simple modification of Dijkstra’s shortest path algorithm and achieves a competitive ratio of 2n − 7 where n is the number of vertices of the polygon. The second strategy achieves a competitive ratio of 1 + 2 Open image in new window (2k)2k /(2k−1)\(^{\rm 2{\it k}-1}\) if the polygon is k-spiral. This can be shown to be optimal. It is based on an optimal algorithm to search in geometric trees which is also presented in this paper.