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By focusing on the construction of thermodynamically stable structures, the self-assembly of mesoscopic systems has proven capable of formidable achievements in the bottom-up engineering of micro- and nanosystems. Yet, inspired by an analogous evolution in ...
The Data Center is the most definitive and yet invisible typology of our contemporary world. It is the densest spot in our digital universe, a physically invisible space virtually visited by many. In a time when the collective spirit of the net itself is m ...
In nanoscopic systems, size, geometry, and arrangement are the crucial determinants of the light-matter interaction and resulting nanoparticles excitation. At optical frequencies, one of the most prominent examples is the excitation of localized surface pl ...
A robot accepted by animals as conspecifics is a very powerful tool in behavioral biology, particularly in studies of gregarious animals. In this paper we present a robotic zebrafish designed for experiments on the collective animal behavior. The robot con ...
In this paper, we present an approach capable of extracting insights on ecosystem organization from merely occurrence (presence/absence) data. We extrapolate to the collective behavior by encapsulating some simplifying assumptions within a given set of con ...
In current robotics research there is a vast body of work on algorithms and control methods for groups of decentralized cooperating robots, called a swarm or collective. These algorithms are generally meant to control collectives of hundreds or even thousa ...
In this paper, we provide guidelines for strategically using crowds as part of a crowdsourcing strategy and an open innovation portfolio. We start by defining crowd organizations as sustained through a crowd of loosely coupled and mutually aligned agents t ...
This tutorial describes methodologies to model and understand the collective behavior or different types of urban systems. It highlights under what physical properties the aggregated laws will provide reasonable description of congestion for single- and mu ...
For many real-life applications such as monitoring, mapping, search-and-rescue or ad-hoc communication networks, fleets of flying robots are expected to out-perform existing solutions. Robots can join forces to cover larger areas in less time, act as effic ...
Adaptive networks consist of a collection of nodes with learning abilities that interact with each other locally in order to solve distributed processing and distributed inference problems in real-time. Various algorithms and performance analyses have been ...