Control barrier functions are mathematical constructs used to guarantee safety for robotic
systems. When integrated as constraints in a quadratic programming optimization problem …

In order to study the security of Internet of drones (IoD), convolutional neural network (CNN)
algorithm was compared with autonomous IoD. Moreover, wireless communication …

Many real-world applications have been suggested in the swarm robotics literature.
However, there is a general lack of understanding of what needs to be done for robot …

Context: Cyber–physical systems (CPS) are increasingly self-adaptive, ie they have the
ability to introspect and change their behavior. This self-adaptation process must be …

Underwater exploration and monitoring are particularly challenging for the absence of GPS,
limited communications, high hydrodynamic pressure and harsh environmental conditions …

We present DOTS, a new open access testbed for industrial swarm robotics
experimentation. It consists of 20 fast agile robots with high sensing and computational …

The ubiquitous usage of robots in modern society necessitates secure development of
robotics systems. Practitioners who engage in robot development can benefit from a …

In this paper, we propose a deep learning based control synthesis framework for fast and
online computation of controllers that guarantees the safety of general nonlinear control …

Background: The specification of missions to be accomplished by a robot swarm has been
rarely discussed in the literature: designers do not follow any standardized processes or use …

Robotic systems are becoming common in different domains and for various purposes, such
as unmanned aerial vehicles performing search and rescue operations, or robots operating …