Simulation has proven to be a highly effective tool for validating autonomous systems while
lowering cost and increasing safety. Currently, several dedicated simulation environments …

Teaching robotics with the robot operating system (ROS) is valuable for instating good
programming practices but requires significant setup steps from the learner. Providing a …

This paper presents an entropy-based consensus algorithm for a swarm of artificial agents
with limited sensing, communication, and processing capabilities. Each agent is modeled as …

The increased demand for Unmanned Aerial Vehicles (UAV) has also led to higher demand
for realistic and efficient UAV testing environments. The current use of simulated …

Simulators in robotics are well-known tools for the development of new applications and
training and integration of systems for remote operation or supervision. Therefore, robotics is …

The use of monitoring sensors is increasingly present in the context of precision agriculture.
Usually, these sensor nodes (SNs) alternate their states between periods of activation and …

During the transition from Industry 4.0 to Industry 5.0, industrial robotics technology faces the
need for intelligent and highly integrated development. Metaverse technology creates …

In this paper, we propose an advanced co-simulation platform that performs the unmanned
aerial vehicle (UAV) simulation and the wireless network simulation concurrently. As UAV …

This work presents a new robotics simulation environment built upon Unreal Engine 5 (UE5)
for agricultural image data generation. The simulation utilizes the state-of-the-art real-time …

The objective of this paper is to investigate a programmable hybrid simulation environment
(based on PX4 and ROS2, two commonly-used packages for autonomous vehicle …