The amount of data extracted from production processes has increased exponentially due to
the proliferation of sensing technologies. When processed and analyzed, data can bring out …

In the last few years, many works have addressed Predictive Maintenance (PdM) by the use
of Machine Learning (ML) and Deep Learning (DL) solutions, especially the latter. The …

Through cooperation, robot swarms can perform tasks or solve problems that a single robot
from the swarm could not perform/solve by itself. However, it has been shown that a single …

My major motivation to think about swarm robotics is the question of how probabilistic local
actions of small robots sum up to rational global patterns shown by the swarm. For the …

Consensus achievement is a crucial capability for robot swarms, for example, for path
selection, spatial aggregation, or collective sensing. However, the presence of …

This work presents a review and discussion of the challenges that must be solved in order to
successfully develop swarms of Micro Air Vehicles (MAVs) for real world operations. From …

A checklist for safe robot swarms | Nature Machine Intelligence Skip to main content Thank you
for visiting nature.com. You are using a browser version with limited support for CSS. To obtain …

Robot swarms are increasingly deployed in real-world applications. Making swarms safe will
be critical to improve adoption and trust. Fault detection is a useful component in systems …

Biological principles draw attention to service robotics because of similar concepts when
robots operate various tasks. Bioinspired perception is significant for robotic perception …

With the development of Unmanned Aerial Vehicle (UAV) system autonomy, network
communication technology and group intelligence theory, mission execution in the form of a …