Accurate grasping estimation is prerequisite and key to achieving accurate robotic grasping.
As common data sources, existing RGB and Depth (RGB-D) fusion strategies hardly fully …

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 …

The extended Kalman filter has been shown to be a precise method for nonlinear state
estimation and is the facto standard in navigation systems. However, if the initial estimated …

Codac (Catalog Of Domains And Contractors) is a C++/Python library providing tools for
constraint programming over reals, trajectories and sets. It has many applications in …

The hyperoctahedral group B n is the group of symmetries of the hypercube [− 1, 1] n of R n.
For instance permutations, or symmetries along each of the n canonical planes of R n all …

In this paper, we propose a new approach to compute the projection of a set defined by
polynomial equations. It assumes that the polynomial equations have some nice symmetries …

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 …

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) …

The transportation systems reliability is addressed in this work. A comprehensive
comparison between the probabilistic and the interval-based uncertainty handling …