The use of simulators in robotics research is widespread, underpinning the majority of recent
advances in the field. There are now more options available to researchers than ever before …

Simulation with a reasonable physical model is important to develop control algorithms for
robots quickly, accurately, and safely without damaging the associated physical systems in …

The number of applications in which industrial robots share their working environment with
people is increasing. Robots appropriate for such applications are equipped with safety …

Fistulina antarctica and Ramaria patagonica are wild edible fungi from Patagonia, which
produce mushrooms that have been consumed since ancient times by those in local …

This research paper presents a high-fidelity, open-source digital-twin of the Pepper robot
developed within the framework of the Robot Operating System 2 (ROS 2) for better …

Simulation software is a powerful tool for robotics research, allowing the virtual
representation of the real world. However, with the rise of the Robot Operating System …

Reinforcement learning refers to a machine learning paradigm in which an agent interacts
with the environment to learn how to perform a task. The characteristics of the environment …

The use of software simulators has a long tradition in robotics, allowing the rapid prototy**
of behaviors thus saving time and cost. In recent years there has been an increased interest …

Currently, unmanned aerial vehicles, such as drones, are becoming a part of our lives and
extend to many areas of society, including the industrialized world. A common alternative for …

The strategies of multi-autonomous cooperative robots in a football game can be solved in
multiple ways. Still, the most common is the “Skills, Tactics and Plays (STP)” architecture …