This article presents a combined route and path planning strategy to guide Skid–Steer
Mobile Robots (SSMRs) in scheduled harvest tasks within expansive crop rows with …

This work addresses the problem of robust tracking control for skid-steer mobile platforms,
using tube-based Nonlinear Model Predictive Control. The strategy seeks to mitigate the …

Articulated vehicles composed of a tractor and several passive trailers are commonly used
for transportation purposes in agricultural applications. The increment of the number of …

This paper presents a robust control strategy for trajectory-tracking control of Skid-Steer
Mobile Manipulators (SSMMs) using a Robust Nonlinear Model Predictive Control (R …

Integrating social robotics into the construction industry, particularly in the context of Industry
5.0, faces several challenges in creating complex environments that seamlessly blend …

This study investigates the application of Deep Reinforcement Learning (DRL) techniques in
the trajectory tracking control of autonomous mobile robots. Assessing control performance …

Currently, mobile robotic applications in the agricultural field are being called for safety and
accurate handling of farm crops. During the crop yield, manoeuvring tasks on changing and …

The heterogeneous nature of the navigation surface suggests adaptation capabilities in
vehicle motion control to overcome the effects of the wheel-terrain interaction. In such …

Motion planning comprises one of the main corner-stones in autonomous mobile robotics,
where obstacle avoidance and path planning efficiency are quintessential for the success of …

[ES] Este trabajo introduce una estrategia híbrida de planificación de caminos para
vehículos robóticos tipo diferencial, combinando métodos de aprendizaje por refuerzo con …