ICGST- ARAS Journal 

ARAS
  Volume (09) - Issue I ICGST

Emotionally Expressive Music based Interaction Language for Social Robots
Aladdin Ayesh
School of Computer Technology, De Montfort University, The Gateway, Leicester LE1 9BH
http://www.aladdin-ayesh.info

Abstract
Sound is perhaps the most elementary and yet common communication vehicle used by humans and animals alike. Similarly, reactive robots that are based on animal intelligence require real-time simple communication mechanisms to imitate their animal examples. They would require their own natural language in which sound blocks can be contained in meaningful structures without the complexity of human’s natural language. Furthermore, this natural language of animal like robots should be scalable to evolve depending on the available resources to each species of robots. In this paper, a musical language is proposed to fulfil this requirement. Specifications of the language and case studies of using these specifications are provided to demonstrate its applicability in multi-robots and human-robot interactions.

Keywords: Emergent behavior, emotional interaction, animal intelligence, auditory interaction.

(Full Paper, 524KB)

 

@ARTICLE{P1130824001,

AUTHOR = {Aladdin Ayesh},

TITLE = {Emotionally Expressive Music based Interaction Language for Social Robots},

JOURNAL = {ICGST  International Journal on Automation, Robotics and Autonomous Systems},

YEAR = {2009},

VOLUME = {09},

ISSUE={I},

PAGES={1--10}

}

(Full Paper, 524KB)