This paper surveys the supportive technologies currently available for ground mobile robots
used for autonomous mapping in agriculture. Unlike previous reviews, we describe state-of …

The farming industry constantly seeks the automation of different processes involved in
agricultural production, such as sowing, harvesting and weed control. The use of mobile …

Automation of vineyards cultivation necessitates for mobile robots to retain accurate
localization system. The paper introduces a stereo vision-based Graph-Simultaneous …

Simultaneous Localization and Mapping (SLAM) is essential for mobile robotics, enabling
autonomous navigation in dynamic, unstructured outdoor environments without relying on …

In this work, we present a comparative analysis of the trajectories estimated from various
Simultaneous Localization and Mapping (SLAM) systems in a simulation environment for …

Vision-based localization and mapping in the agricultural environment is challenging due to
the unstructured scene with unstable features, illumination variations, bumpy roads, and …

Simultaneous localization and mapping (SLAM) has been an active research problem over
recent decades. Many leading solutions are available that can achieve remarkable …

Vision-based localization and mapping for agricultural environment is challenging due to
unstructured scene with less distinguishable landmarks and more repetitive textures, scale …

En esta tesis se desarrolla un concepto matemático novedoso que luego se aplica al diseño
de esquemas de control predictivo basado en modelo (MPC, por sus siglas en inglés). La …