Collective adaptive systems are new emerging computational systems consisting of a large
number of interacting components and featuring complex behaviour. These systems are …

Context: Robots can potentially collaborate to execute a variety of tasks in the service robots
domain. However, develo** applications of service robots can be complex due to the high …

The Internet of Things (IoT) and edge computing are fostering a future of ecosystems hosting
complex decentralized computations that are deeply integrated with our very dynamic …

An adaptive system is able to adapt at runtime to dynamically changing environments and to
new requirements. Adaptive systems can be single adaptive entities or collective ones that …

Self-adaptive software-intensive cyber-physical systems (sasiCPS) encounter a high level of
run-time uncertainty. State-of-the-art architecture-based self-adaptation approaches assume …

An adaptive system is able to adapt at runtime to dynamically changing environments and to
new requirements. Adaptive systems can be single adaptive entities or collective ones that …

Smart system applications (SSAs)—a heterogeneous landscape of applications of Internet of
things, cyber-physical systems, and smart sensing systems—are composed of autonomous …

Modern smart systems are highly dynamic and allow for dynamic and ad-hoc collaboration
not only among devices, but also among humans and organizations. Such a collaboration …

Industry 4.0 tries to digitalize the production process further. The digitalization is achieved by
connecting different entities (machines, worker) to data-exchange, which needs to be …

Due to their close relation to physical and virtual entities (humans, machines, processes,
etc.) including their changing state and context, modern cyber-physical and IoT systems …