Abstract Research in Autonomous Driving is taking momentum due to the inherent
advantages of autonomous driving systems. The main advantage being the disassociation …

Autonomous driving solutions stretch over different disciplines and technologies eg,
sensors, communication, computation, machine learning, data analytic, etc., that need to be …

ABSTRACT Automated Guided Vehicles (AGVs) have been introduced into various
applications, such as automated warehouse systems, flexible manufacturing systems, and …

The challenging characteristics of earthwork environments—complex, unstructured, and
constantly evolving—pose significant challenges for the path planning of automated …

This paper focuses on the trajectory planning and trajectory tracking control of articulated
tracked vehicles (ATVs). It utilizes the path planning method based on the Hybrid A-star and …

The purposes are to manage human resource data better and explore the association
between Human Resource Management (HRM), data mining, and economic management …

Wheel loaders are multi-function construction equipment, yet their complex kinematics and
coupled front-rear axle relationships pose significant challenges in path planning and …

In this paper, a route‐planning approach is proposed based on the region‐segmentation
Dynamic Programming (DP) algorithm for Automated Guided Vehicles (AGVs) in large Smart …

Path planning is an crucial research area in robotics. Compared to other path planning
algorithms, the Rapidly-exploring Random Tree (RRT) algorithm possesses both search and …

This study aimed to address the low search efficiency, long planning time, and unsmooth
path problems in narrow and curved underground mining cave environments using …