This paper proposes a new method for guaranteed integration of state equations. Within this
framework, the variables of interest are trajectories submitted to both arithmetic and …

Localization for underwater robots remains a challenging issue. Typical sensors, such as
Global Navigation Satellite System (GNSS) receivers, cannot be used under the surface and …

This paper presents a new approach to bounded-error state estimation involving time
uncertainties. For a given bounded observation of a continuous-time non-linear system, it is …

This paper proposes a simple controller for sailboat robots. The resulting controller is simple
to implement and its parameters are easy to tune. Its complexity is low enough to be …

This paper proposes an original set-membership approach for loop detection of mobile
robots in the situation where proprioceptive sensors only are available. To detect loops, the …

This paper proposes an original interval-based method to compute an outer approximation
of all invariant sets (such as limit cycles) of a continuous-time nonlinear dynamic system …

Probabilistic approaches are extensively used to solve high-dimensionality problems in
many different fields. The particle filter is a prominent approach in the field of Robotics, due …

This paper presents an integral algebra and shows how it can be used to simulate a
dynamical system with interval uncertainties. These uncertainties, can be either on the initial …

In this paper we present a reliable method to verify the existence of loops along the
uncertain trajectory of a robot, based on proprioceptive measurements only, within a …

This paper introduces a new interval constraint propagation (ICP) approach dealing with the
real‐time vehicle localization problem. Bayesian methods like extended Kalman filter (EKF) …