This paper presents a method called Interval Incremental Learning (IIL) to capture spatial
and temporal patterns in uncertain data streams. The patterns are represented by …

Probabilistic techniques (such as Extended Kalman Filter and Particle Filter) have long been
used to solve robotic localization and mapping problem. Despite their good performance in …

Localization has been regarded as one of the most fundamental problems to enable a
mobile robot with autonomous capabilities. Probabilistic techniques such as Kalman or …

Interval analysis is a numerical tool classically used for solving nonlinear equations in a
guaranteed way. It has been shown that it can be used to build reliable nonlinear state …

Localization has been recognized as one of the most fundamental problem to provide a
mobile robot with autonomous capabilities. This paper presents an Interval Constraint …

The oceans' exploration becomes more and more reachable, especially thanks to robotics
progress. Applications for underwater robots are plentiful. In this thesis, we particularly focus …

Актуальность темы исследования. Все многообразие используемых в настоящее время
конструкций движителей мобильных роботов определяется конкретной задачей и …