This paper presents the complete methodology followed in designing and implementing a
tracked autonomous navigation robot which can navigate through an unknown outdoor …

This study aims to investigate autonomous location and environment mapping of moving
objects under conditions of dust and weak illumination in underground tunnels. The …

To resolve the difficulty in establishing accurate priori noise model for the extended Kalman
filtering algorithm, propose the fractional-order Darwinian particle swarm optimization (PSO) …

For any robot to navigate on its own, it is important to create a map of its surroundings and
localise itself to detect the obstacles. The present paper focuses on building a universal …

[en] This report describes the development of parallel benchmark code by sheet metal
forming simulator'ITAS'. ITAS is a nonlinear elasto-plastic analysis program by the finite …

Reducing error in each step of robot motion is one of the important issue in the
Simultaneous Localization and Mapping algorithms. Hence, an accurate estimation method …

In this paper, a novel localization approach for autonomous mobile robots is proposed. It can
accomplish the all-terrain localization function with the laser radar (LADAR) and the inertial …

Because traditional approaches for solving the simultaneous localization and map building
(SLAM) problem have the limitation of computational complexity, imprecision of filter …

In order to solve the problem that the mobile robot simultaneous localization and mapping
(SLAM) is difficult to establish an accurate priori noise model, an improved particle swarm …