منابع مشابه
Evolution, Self-Organisation and Swarm Robotics
The activities of social insects are often based on a self-organising process, that is, “a process in which pattern at the global level of a system emerges solely from numerous interactions among the lower-level components of the system.”(see [4], p. 8). In a self-organising system such as an ant colony, there is neither a leader that drives the activities of the group, nor the individual ants ...
متن کاملSelf-Organising Sync in a Robotic Swarm
Self-organised synchronisation is a common phenomenon observed in many natural and artificial systems: simple coupling rules at the level of the individual components of the system result in an overall coherent behaviour. Owing to these properties, synchronisation appears particularly interesting for swarm robotic systems, as it allows to robustly coordinate through time the activities of the g...
متن کاملSelf-organising synchronisation in a robotic swarm
Synchrony is a pervasive phenomenon: examples of synchronous behaviours can be found in the inanimate world as well as among living organisms (Strogatz, 2003, Sync, Hyperion Press). The synchronisation behaviours observed in Nature can be a powerful source of inspiration for the design of swarm robotic systems, where emphasis is given to the emergence of coherent group behaviours from simple in...
متن کاملAdaptive Control in Swarm Robotic Systems
Inspired by the collective behavior observed in natural insects, swarm robotics is a new approach in designing control algorithms for a large group of robots performing a certain task. In such robotic systems, an individual robot with only limited capabilities in terms of sensing, computation, and communication can adapt its own behavior so that a desired collective behavior emerges from the lo...
متن کاملSwarm robotic odor localization
This paper presents an investigation of odor localization by groups of autonomous mobile robots using principles of Swarm Intelligence. We describe a distributed algorithm by which groups of agents can solve the full odor localization task more efficiently than a single agent. We then demonstrate that a group of real robots under fully distributed control can successfully traverse a real odor p...
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ژورنال
عنوان ژورنال: Acta Mechanica et Automatica
سال: 2019
ISSN: 2300-5319
DOI: 10.2478/ama-2019-0018