Applications of Stochastic Approaches in Mobile Robotics: An Overview of Recent Brazilian Works

Abstract

Stochastic approaches have become increasingly common in robotics. Techniques that consider the uncertainties of sensors and models are being adopted in various applications. In this context, state estimation techniques play an important role, since they deal directly with these uncertainties, making systems more reliable. This paper aims to survey the state of the art of application of stochastic approaches in robotics in the context of the work developed in Brazil. At the end, the main applications that use stochastic approaches in robotics are summarized, and the main tools used in each case are suggested. Moreover, the main outstanding issues, which should be the focus of further research, are indicated. Thus, this paper is intended to be a useful tool for new researchers in this booming research area.