Exploring unknown environments

We consider exploration problems where a robot has to construct a complete map of an unknown environment. We assume that the environment is modeled by a directed, strongly connected graph. The robot's task is to visit all nodes and edges of the graph using the minimum number R of edge traversals. Deng and Papadimitriou [Proceedings of the 31st Symposium on the Foundations of Computer Science, 1990, pp. 356-361] showed an upper bound for R of d(O(d))m and Koutsoupias (reported by Deng and Papadimitriou) gave a lower bound of Ohm(d(2)m), where m is the number of edges in the graph and d is the minimum number of edges that have to be added to make the graph Eulerian. We give the first subexponential algorithm for this exploration problem, which achieves an upper bound of d(O(log d))m. We also show a matching lower bound of d(Ohm(log d))m for our algorithm. Additionally, we give lower bounds of 2(Ohm(d))m, respectively, d(Ohm(log d))m for various other natural exploration algorithms.