In order to solve the problems of target search and map navigation under the circumstance of unknown environment and unknown target orientation, a method of dual robot collaborative exploration is proposed.Firstly, the first mobile robot uses the wall-touching algorithm to search for the target autonomously.The improved RBPF-SLAM algorithm and the Hector-SLAM algorithm are utilized to construct the map of the unknown environment respectively, and then the algorithm more suitable for the search task is selected by comparing the results and time spent on building a map.Next, the second robot reads the map from the first robot and moves along the optimal path planned by using the A* algorithm to the target point.Meanwhile, the dynamic window approach is used for dynamic local path planning for the damage area which may change at any time.Finally, simulation experiment is carried out and the practicability and effectiveness of this method are verified.