Power-Law Distribution of Long-Term Experimental Data in Swarm Robotics

Date

2015-06-02

Author

Arvin, Farshad
Attar, Abdolrahman
Turgut, Ali Emre
Yue, Shigang

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

122
views

0
downloads

Bio-inspired aggregation is one of the most fundamental behaviours that has been studied in swarm robotic for more than two decades. Biology revealed that the environmental characteristics are very important factors in aggregation of social insects and other animals. In this paper, we study the effects of different environmental factors such as size and texture of aggregation cues using real robots. In addition, we propose a mathematical model to predict the behaviour of the aggregation during an experiment.

Subject Keywords

Power-law distribution, Swarm robotics, Aggregation, Modelling

URI

http://dx.doi.org/10.1007/978-3-319-20466-6_58
https://hdl.handle.net/11511/96581

DOI

https://doi.org/10.1007/978-3-319-20466-6_58

Conference Name

ICSI 2015: Advances in Swarm and Computational Intelligence

Collections

Department of Mechanical Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Investigation of cue-based aggregation in static and dynamic environments with a mobile robot swarm Arvin, Farshad; Turgut, Ali Emre; Krajnik, Tomas; Yue, Shigang (SAGE Publications, 2016-04-01) Aggregation is one of the most fundamental behaviors and has been studied in swarm robotic researches for more than two decades. Studies in biology have revealed that the environment is a preeminent factor, especially in cue-based aggregation. This can be defined as aggregation at a particular location which is a heat or a light source acting as a cue indicating an optimal zone. In swarm robotics, studies on cue-based aggregation mainly focused on different methods of aggregation and different parameters su...
Perpetual Robot Swarm: Long-Term Autonomy of Mobile Robots Using On-the-fly Inductive Charging Arvin, Farshad; Watson, Simon; Turgut, Ali Emre; Espinosa, Jose; Krajnik, Tomas; Lennox, Barry (2018-12-01) Swarm robotics studies the intelligent collective behaviour emerging from long-term interactions of large number of simple robots. However, maintaining a large number of robots operational for long time periods requires significant battery capacity, which is an issue for small robots. Therefore, re-charging systems such as automated battery-swapping stations have been implemented. These systems require that the robots interrupt, albeit shortly, their activity, which influences the swarm behaviour. In this p...
PФSS: An Open-source Experimental Setup for Continuous Real-world Implementation of Swarm Robotic Systems Turgut, Ali Emre; Krajnik, Tomas (2018-10-19) Swarm robotics is a relatively new research field that employs multiple robots (tens, hundreds or even thousands) that collaborate on complex tasks. There are several issues which limit the real-world application of swarm robotic scenarios, e.g. autonomy time, communication methods, and cost of commercialised robots. We present a platform, which aims to overcome the aforementioned limitations while using off-the-shelf components and freely-available software. The platform combines (i) a versatile open-hardw...
GESwarm Grammatical Evolution for the Automatic Synthesis of Collective Behaviors in Swarm Robotics Ferrante, Eliseo; Turgut, Ali Emre; DuenezGuzman, Edgar; Wenseleers, Tom (2013-07-10) In this paper we propose GESwarm, a novel tool that can automatically synthesize collective behaviors for swarms of autonomous robots through evolutionary robotics. Evolutionary robotics typically relies on artificial evolution for tuning the weights of an artificial neural network that is then used as individual behavior representation. The main caveat of neural networks is that they are very difficult to reverse engineer, meaning that once a suitable solution is found, it is very difficult to analyze, to ...
Swarm robotics: From sources of inspiration to domains of application Şahin, Erol (2005-01-01) Swarm robotics is a novel approach to the coordination of large numbers of relatively simple robots which takes its inspiration from social insects. This paper proposes a definition to this newly emerging approach by 1) describing the desirable properties of swarm robotic systems, as observed in the system-level functioning of social insects, 2) proposing a definition for the term swarm robotics, and putting forward a set of criteria that can be used to distinguish swarm robotics research from other multi-r...

Citation Formats

F. Arvin, A. Attar, A. E. Turgut, and S. Yue, “Power-Law Distribution of Long-Term Experimental Data in Swarm Robotics,” Pekin, Çin, 2015, vol. 9140, Accessed: 00, 2022. [Online]. Available: http://dx.doi.org/10.1007/978-3-319-20466-6_58.