This paper presents high precision control and deep learning-based corn stand counting
algorithms for a low-cost, ultra-compact 3D printed and autonomous field robot for …

This paper presents embedded high precision control and corn stands counting algorithms
for a low-cost, ultracompact 3D printed and autonomous field robot for agricultural …

Accurate steering through crop rows that avoids crop damage is one of the most important
tasks for agricultural robots utilized in various field operations, such as monitoring …

Aircraft routing problem is a crucial component for flight automation. Despite recent
successes, challenges still remain when the environment is dynamic and uncertain. In this …

Geometric uncertainties may jeopardize the performance of parallel manipulators, especially
during motion planning. Recent research demonstrated that, during motion planning and …

This paper proposes a new path planning algorithm to consider motion uncertainty for
wheeled robots in rough environments. The proposed method uses particles to express the …

В статье предлагается метод планирования маршрута движения гусеничного
транспортного средства. Ключевая особенность данного метода заключается в учете …

This paper presents high precision control and deep learning-based corn stand counting
algorithms for a low-cost, ultra-compact 3D printed and autonomous field robot for …

We propose a novel path planning method considering pose errors for off-road mobile
robots based on 3D terrain map information. Mobile robots navigating on rough terrain …