Abstract
We are attempting to develop a system so that a user is able to let robots perform an intellectual action that has a healing and friendly feeling. Based on the development process of the actions and consciousness of animals, we constructed a structure model which connects consciousness and action hierarchically, built a valuation function for action selection, and developed software to control the action of a robot. This software is called Consciousness-Based Architecture (CBA). With it, our aim is to connect a user and robot as closely as possible and to allow smooth communications between them by developing an emotional system that takes notice of consciousness. In our system, the robotic arm’s finger is outfitted with a small Web camera, which allows the arm to recognize external information so that the robot can select various actions that comply with certain factors in the outside environment. Furthermore, by using the actuator of the robotic arm, the system we have built provides a correspondence between the robot’s internal states, such as the degree of rotation angle, and the outside temperature. In the present study, a motivation model which considers the outside environment and the internal states has been built into the CBA, and the behavior of the robotic arm has been verified.
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References
Takahashi Y, Asada M (2003) Multi-layered learning systems for vision-based behavior acquisition of a real mobile robot. In: Proceedings of SICE annual conference, Vol.CD-ROM, pp 2937–2942, Fukui, Japan
LeDoux J (1996) The emotional brain: the mysterious underpinnings of emotional life, New York, Simon & Schuster
Goto N, Hayashi E (2008) Design of Robotic Behavior that imitates animal consciousness. Artif Life Robotics 12:97–101
Hayashi E (2008) Navigation system for an autonomous robot using an ocellus camera in indoor environment. Artif Life Robotics 12:346–352
Hayashi E (2007) Navigation system with a self-drive control for an autonomous robot in indoor environment. In: 16th international symposium on robot & human interactive communication (RO-MAN 2007), Aug. 2007, Jedu, Korea
Kitamura T, Nishino D (2006) Training of a learning agent for navigation-inspired by brain-machine interface. IEEE transmotion on system, man, and cybernetics 36(2):353–365
Talwar SK, Xu S, Hawley ES, Weiss SA, Moxon KA, Chapin JK (2002) Rat navigation guided by remote control. Nature 417:37–38
Donnart JY, Meyyer JA (1996) Learning reactive and planning rules in a motivationally autonomous animat. IEEE Trans System Man Cybernetics 26(3):381–395
Hayashi E, Yamasaki T, Kuroki K (2009) Autonomous behavior system combing motivation with consciousness using dopamine. IEEE International symposium on computational intelligence in robotics and automation (CIRA2009), pp 126–131
McCarthy J (1996) Making robots conscious of their mental states. In: Muggleton S (ed) Machine intelligence, vol. 15, Oxford University Press, Oxford, pp 3–17
McCarthy J (1995) Proceedings of the fourteenth international joint conference on Artificial Intelligence, IJCAI 95, pp 2041–2044
Brooks RA (1991) Intelligence without representation. Artificial Intelligence 47:139–159
Maes P (1989) How to do the right thing. Connection Sci 1(3):291–323
Maes P (1991) Bottom-up mechanism for behavior selection in an artificial creature. In: Proceeding of the first international conference on simulation of adaptive behavior, MIT Press, pp 238–246
Maes P (1991) The agent network architecture (ANA). ACM SIGART Bull 2(4):115–120
Tyrrell T (1994) An evaluation of Maes’ “Bottom-up mechanism for behavior selection”. Adaptive Behavior 2(4):307–348
Thao TR, Herman DJ, Morano DV (1986) Phenomenology and dialectical materialism (Boston Studies in the Philosophy of Science), D Reidel Pub
Kimura H (2005) A trial to analyze the effect of an atypical antipsychotic medicine, risperidone, on the release of dopamine in the central nervous system. J Aichi Med Univ Assoc 33(1):21–27
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This work was presented in part at the 15th International Symposium on Artificial Life and Robotics, Oita, Japan, February 4–6, 2010
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Hayashi, E., Yamasaki, T. Design of robotic arm’s action to imitate the mechanism of an animal’s consciousness. Artif Life Robotics 15, 565–570 (2010). https://doi.org/10.1007/s10015-010-0869-5
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DOI: https://doi.org/10.1007/s10015-010-0869-5