Autonomous exploration using multiple sources of information

Abstract

Enables robot explorers to maximize the total information gained while minimizing costs such as driving, sensing and planning. The paper presents a general methodology for solving complex exploration tasks which employs multiple sources of information. The paper also develops a specific instantiation of the method to solve the exploration problem of creating a complete traversability map of an known region. Simulation results showing the solution of this exploration task are included.