Autonomous mobile robots (AMRs) are gaining popularity in various applications such as
logistics, manufacturing, and healthcare. One of the key challenges in deploying AMR is …

Autonomous mobile robots are an important focus of current research due to the advantages
they bring to the industry, such as performing dangerous tasks with greater precision than …

Machine learning technologies are being integrated into robotic systems faster to enhance
their efficacy and adaptability in dynamic environments. The primary goal of this research …

Few industries use manually controlled robots or automobiles to carry material to the desired
position, and in some cases, man power are used due to a lack of money. This cannot be …

Mobility is a significant robotic task. It is the most important function when robotics is applied
to domains such as autonomous cars, home service robots, and autonomous underwater …

Mobile robots path planning is a central problem in every situation where human
intervention is not desired or not possible to accept: full automated industrial warehouses or …

Motion planning, also known as the navigation problem, is a term used in robotics to find a
sequence of valid configurations that moves the robot from the source to a destination. From …

Learning from demonstration, as an important component of imitation learning, is a
paradigm for robot to learn new tasks. Considering the application of learning from …

This paper introduces a deep learning (DL) approach to predicting congestion delays in
large multi-robot systems. The problem is motivated by real-world problems in modern …

The coordination of multi-robot system (MRS) are applied commonly to various fields of the
automotive industry. In a variety of cooperative modes, online path planning with obstacles …