LRF-based data processing algorithm for map building of mobile robot

As we all know that, it is vital to process environment data in map building of mobile robot. This paper presented two algorithms of map building using LRF for an indoor service mobile robot. Then we find their advantages and disadvantages, and the scope of application by comparing them in model and experiment in order to utilize effectively in practice. Experiments in indoor environment prove that the algorithms can meet the demand of map building in environment with different complexity. Hence, we can select appropriate map building algorithm for different practical environment where mobile robot moves. This paper also introduces the architecture of the proposed system and gives some experimental results.