The path-planning algorithms for autonomous mobile robot navigation are crucial, often
relying on sampling-based methods. RRT* is a robust, sampling-based path planning …

The development of unmanned agricultural tractors (UAT) represents a significant step
towards intelligent agricultural equipment. UAT technology is expected to lighten the …

This study introduces an innovative combined system utilizing the Robot Operating System
(ROS) to enhance multi-robot systems for comprehensive coverage in indoor settings. The …

A vast amount of research has been conducted on path planning over recent decades,
driven by the complexity of achieving optimal solutions. This paper reviews multi-robot path …

The agricultural robots limit complicated manoeuvring jobs, reducing the need for human
intervention. Automation and control of these robots are performed by observing and …

The adoption of autonomous robots is steadily increasing, offering innovative solutions to
pressing agricultural challenges. However, most robots rely on electric power and …

Automated large-scale farmland preparation operations face significant challenges related
to path planning efficiency and uniformity in resource allocation. To improve agricultural …

Multi-Robot Coverage problems have been extensively studied in robotics, planning and
multi-agent systems. In this work, we consider the coverage problem when there are …

The transportation and logistics sectors are experiencing a remarkable increase in the
utilization of autonomous mobile robots, playing a pivotal role in the efficient management …

Path planning algorithms are mainly used in robotics for navigation. Search-based
algorithms are well-suited for partially known environments. Autonomous robots in factories …