Our research addresses how to integrate exploration and localization for mobile robots. A robot exploring and mapping an unknown environment needs to know its own location, but it...
This paper presents a statistical algorithm for collaborative mobile robot localization. Our approach uses a sample-based version of Markov localization, capable of localizing mob...
Dieter Fox, Wolfram Burgard, Hannes Kruppa, Sebast...
This paper addresses the problem of building large-scale geometric maps of indoor environments with mobile robots. It poses the map building problem as a constrained, probabilistic...
In many applications in mobile robotics, it is important for a robot to explore its environment in order to construct a representation of space useful for guiding movement. We refe...
This paper describes a technique whereby an autonomous agent such as a mobile robot can explore an unknown environment and make a topologicalmapofit. It is assumedthat the environ...