ASSISI: Charged Hot Bees Shakin´ in the Spotlight

Author

Schmickl, T. ; Szopek, M. ; Bodi, M. ; Hahshold, S. ; Radspieler, G. ; Thenius, R. ; Bogdan, Stjepan ; Miklic, Damjan ; Griparic, Karlo ; Haus, Tomislav ; Kernbach, S. ; Kernbach, O.

Author_Institution

Dept. of Zoology, Univ. of Graz, Graz, Austria

fYear

2013

fDate

9-13 Sept. 2013

Firstpage

259

Lastpage

260

Abstract

In this article we describe the concept of generating a mixed society of honeybees and artificial (robotic) agents in the project ASSISI|_bf. We discuss the motivation of generating a mixed society as novel bio-hybrid system that can achieve self-awareness, self-regulation and environmental awareness through self-organization and collective information processing. In our approach the artificial agents communicate with the natural agents through 4 physical channels, which are emphasized in this article: temperature, vibration, electromagnetic fields, and light. We also discuss our methodology of automated model-generation and model-adaptation through evolutionary robotics principles.

Keywords

evolutionary computation; robots; ASSISI project; artificial agents; automated model-adaptation; automated model-generation; bio-hybrid system; collective information processing; electromagnetic fields channel; environmental awareness system; evolutionary robotics principles; honeybees; light channel; mixed society generation; natural agents; robotic agents; self-awareness system; self-organization; self-regulation system; temperature channel; vibration channel;

fLanguage

English

Publisher

ieee

Conference_Titel

Self-Adaptive and Self-Organizing Systems (SASO), 2013 IEEE 7th International Conference on

Conference_Location

Philadelphia, PA

ISSN

1949-3673

Type

conf

DOI

10.1109/SASO.2013.26

Filename

6676514