Curve-aware model predictive control (C-MPC) trajectory tracking for automated guided vehicle (AGV) over on-road, in-door, and agricultural-land

S Manikandan, G Kaliyaperumal, S Hakak… - Sustainability, 2022 - mdpi.com
Navigating the AGV over the curve path is a difficult problem in all types of navigation
(landmark, behavior, vision, and GPS). A single path tracking algorithm is required to …

Advancements in Learning-Based Navigation Systems for Robotic Applications in MRO Hangar

N Adiuku, NP Avdelidis, G Tang, A Plastropoulos - Sensors, 2024 - mdpi.com
The field of learning-based navigation for mobile robots is experiencing a surge of interest
from research and industry sectors. The application of this technology for visual aircraft …

A direct yaw moment control frame through model predictive control considering vehicle trajectory tracking performance and handling stability for autonomous driving

L **, H Zhou, X ** and air spring suspension system
J Kim, T Lee, CJ Kim, K Yi - Control Engineering Practice, 2024 - Elsevier
This paper presents the development of a data-based model predictive control method for a
semi-active suspension system with air springs and continuous dam**. A continuous …

An accurate trajectory tracking method for low-speed unmanned vehicles based on model predictive control

L Wang, S Chen, H Ren - Scientific reports, 2024 - nature.com
Trajectory tracking on a low-speed vehicle using the model predictive control (MPC)
algorithm usually assumes a simple road terrain. This assumption does not correspond to …

Beyond the Current Curve: A Novel Curve Warning System Considering Subsequent Curve Speed Limits

NS Manikandan, G Kaliyaperumal - IEEE Access, 2024 - ieeexplore.ieee.org
This work presents a novel curve warning system that addresses the existing Advanced
Driver-Assistance Systems (ADAS) limitations. While current ADAS offer curve warnings …