Abstract
In the previous chapter, we pointed out the main theoretical foundations of EICA and its guiding principles: intention through interaction and historical social embodiment. EICA has two components: a general behavioral robotic architecture with a flexible action integration mechanism upon which interaction protocol learning to support autonomous sociality is implemented.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Argyle M (2001) Bodily communication. Routledge; New Ed edition
Arkin RC, Balch TR (1997) AuRA: principles and practice in review. J Exp Theor Artif Intell (JETAI) 9(2/3):175–188
Arkin RC, Fujita M, Takagi T, Hasegawa R (2003) An ethological and emotional basis for human–robot interaction, robotics and autonomous systems. Robot Auton Syst 42(3/4):191–201
Breazeal C, Kidd C, Thomaz A, Hoffman G, Berlin M (2005) Effects of nonverbal communication on efficiency and robustness in human–robot teamwork. In: IROS’05: IEEE/RSJ international conference on intelligent robots and systems, IEEE, pp 708–713
Brooks RA, Breazeal C, Irie R, Kemp CC, Marjanovic M, Scassellati B, Williamson MM (1998) Alternative essences of intelligence. In: AAAI’98: the national conference on artificial intelligence, Wiley, pp 961–968
Devaraj D, Yegnanarayana B (2005) Genetic-algorithm-based optimal power flow for security enhancement. IEE Proc: Gener, Transm Distrib 152(6):899–905. doi:10.1049/ip-gtd:20045234
Karim S, Sonenberg L, Tan AH (2006) A hybrid architecture combining reactive plan execution and reactive learning. In: PRICAI’06: 9th biennial Pacific Rim international conference on artificial intelligence, pp 200–211
Mahanti G, Chakraborty A, Das S (2005) Floating-point genetic algorithm for design of a reconfigurable antenna arrays by phase-only control. APMC’05: Asia-Pacific microwave conference, vol 5, pp 3–11. doi:10.1109/APMC.2005.1606987
Mohammad Y, Nishida T (2007) Intention thorugh interaction: towards mutual intention in human–robot interactions. In: IEA/AIE’07: the international conference on industrial, engineering, and other applications of applied intelligence, pp 115–125
Mohammad Y, Nishida T (2008) Two layers action integration for HRI—action integration with attention focusing for interactive robots. In: ICINCO’08: the 5th international conference on informatics in control, automation and robotics, pp 41–48. doi:10.5220/0001482600410048
Mohammad Y, Nishida T (2009) Toward combining autonomy and interactivity for social robots. AI Soc 24:35–49. doi:10.1007/s00146-009-0196-3
Mohammad Y, Nishida T (2010) Controlling gaze with an embodied interactive control architecture. Appl Intell 32:148–163
Mohammad Y, Nishida T, Okada S (2010) Autonomous development of gaze control for natural human–robot interaction. In: The IUI 2010 workshop on eye gaze in intelligent human machine interaction, IUI’10, pp 63–70
Mohammad Y, Xu Y, Matsumura K, Nishida T (2008) The \(H^3R\) explanation corpus: human-human and base human–robot interaction dataset. In: ISSNIP’08: the 4th international conference on intelligent sensors, sensor networks and information processing, pp 201–206
Nicolescu MN, Matarić MJ (2002) A hierarchical architecture for behavior-based robots. In: AAMAS’02: the first international joint conference on autonomous agents and multiagent systems, ACM, New York, USA, pp 227–233. http://doi.acm.org/10.1145/544741.544798
Perez MC (2003) A proposal of a behavior-based control architecture with reinforcement learning for an autonomous underwater robot. PhD thesis, University of Girona
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Mohammad, Y., Nishida, T. (2015). The Embodied Interactive Control Architecture. In: Data Mining for Social Robotics. Advanced Information and Knowledge Processing. Springer, Cham. https://doi.org/10.1007/978-3-319-25232-2_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-25232-2_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25230-8
Online ISBN: 978-3-319-25232-2
eBook Packages: Computer ScienceComputer Science (R0)