Abstract
Behavior generation in humans and animals usually employs a combination of bottom-up and top-down patterns. Most available robotic architectures utilize either bottom-up or top-down activation including hybrid architectures. In this paper, we propose a behavior generation mechanism that can seamlessly combine these two strategies. One of the main advantages of the proposed approach is that it can naturally combine both bottom-up and top-down behavior generation mechanisms which can produce more natural behavior. This is achieved by utilizing results from the theory of simulation in neuroscience which tries to model the mechanism used in human infants to develop a theory of mind. The proposed approach was tested in modeling spontaneous gaze control during natural face to face interactions and provided more natural, human-like behavior compared with a state-of-the-art gaze controller that utilized a bottom-up approach.
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References
Brooks, R.A.: A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation 2(1), 14–23 (1986)
Arkin, R.C., Masahiro Fujita, T.T., Hasegawa, R.: An ethological and emotional basis for human-robot interaction, robotics and autonomous systems. Robotics and Autonomous Systems 42(3-4), 191–201 (2003)
Yang, L., Yue, J., Zhang, X.: Hybrid control architecture in bio-mimetic robot, pp. 5699–5703 (June 2008)
Ulam, P., Arkin, R.: Biasing behavioral activation with intent for an entertainment robot. Intelligent Service Robotics 1(3), 195–209 (2008)
Wohlschlager, A., Gattis, M., Bekkering, H.: Action generation and action perception in imitation:an instance of the ideomotor principle. Phil. Trans. R. Soc. Lond. (358), 501–515 (2003)
Meltzoff, A., Moore, M.: Imitation, memory and the representation of persons. Infant Behav. Dev. (17), 83–99 (1994)
Mohammad, Y., Nishida, T.: Toward combining autonomy and interactivity for social robots. AI & Society (in press, 2008)
Breazeal, C.: Socially intelligent robots. Interactions 12(2), 19–22 (2005)
Davies, M.: Stone: Mental Simulation. Blackwell Publishers, Oxford (1995)
Sabbagh, M.A.: Understanding orbitofrontal contributions to theory-of-mind reasoning: Implications for autism. Brain and Cognition (55), 209–219 (2004)
Oberman, L.M., McCleery, J.P., Ramachandran, V.S., Pineda, J.A.: Eeg evidence for mirror neuron activity during the observation of human and robot actions: Toward an analysis of the human qualities of interactive robots. Neurocomput. 70(13-15), 2194–2203 (2007)
Mohammad, Y., Nishida, T.: Learning Interaction Structure using a Hierarchy of Dynamical Systems. Studies in Computational Intelligence. In: Opportunities and Challenges for Next-Generation Applied Intelligence, pp. 253–258. Springer, Heidelberg (2009)
Mohammad, Y., Nishida, T.: Controlling gaze with an embodied interactive control architecture. In: Applied Intelligence (2009) (Published online May 30)
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Mohammad, Y., Nishida, T. (2010). Down-Up-Down Behavior Generation for Interactive Robots. In: GarcÃa-Pedrajas, N., Herrera, F., Fyfe, C., BenÃtez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6096. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13022-9_10
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DOI: https://doi.org/10.1007/978-3-642-13022-9_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13021-2
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