Summary
The increasing complexity of humanoid robots and their expected performance in real dynamic environments demand an equally complex, autonomous and dynamic solution. Our approach for the creation of real autonomy in artificial systems is based on the use of nonlinear dynamical systems. The purpose of this research is to demonstrate the feasibility of using coupled chaotic systems within the area of cognitive developmental robotics.
Using a robotic head, we demonstrate that the visual input coming into the head’s eyes is enough for the self-organization of the axes controlling the motion of eyes and neck. No specific coding of the task is needed, which results in a very fast adaptation and robustness to perturbations. Another equally important goal of this research is the possibility of having new insights about how the coordination of multiple degrees of freedom emerges in human infants. We show that the interaction between body and environment modifies the inner connections of the controlling network resulting in the emergence of a tracking behavior.
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References
Kaneko, K., Tsuda, I.: Complex Systems: Chaos and Beyond. Springer, Heidelberg (2001)
Kuniyoshi, Y., Suzuki, S.: Dynamic emergence and adaptation of behavior through embodiment as a coupled chaotic field. In: Proceedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2042–2049 (2004)
Metta, G., Gasteratos, A., Sandini, G.: Learning to track colored objects with log-polar vision. Mechatronics 14(9), 989–1006 (2004)
Bernardino, A., Santos-Victor, J.: Binocular visual tracking: Integration of perception and control. IEEE Transactions on Robotics and Automation 15(6), 1080–1094 (1999)
Coombs, D., Brown, C.: Real-time binocular smooth pursuit. International Journal of Computer Vision 11(2), 147–164 (1993)
Aja Fernandez, S., Alberola Lopez, C., Ruiz Alzola, J.: A fuzzy-controlled kalman filter applied to stereo-visual tracking schemes. Signal Processing 83(1), 101–120 (2003)
Kumarawadu, S., Watanabe, K., Kiguchi, K., Izumi, K.: Self-adaptive output tracking with applications to active binocular tracking. Journal of Intelligent and Robotics Systems 36(2), 129–147 (2003)
Thelen, E., Smith, L.: A dynamic systems approach to the development of cognition and action. The MIT Press Inc, Cambridge (1994)
Strogatz, S.: Nonlinear dynamics and chaos. Addison Wesley, New York (1994)
May, R.: Simple mathematical models with complicated dynamics. Nature 261, 459–467 (1976)
Kaneko, K.: Relevance of dynamic clustering to biological networks. Physica D: Nonlinear Phenomena 75(1), 55–73 (1994)
Ito, J., Kaneko, K.: Spontaneous structure formation in a network of dynamic elements. Phys. Rev. E. 67(4), 46–226 (2003)
Robotcub project, http://www.robotcub.org
Sandini, G., Metta, G., Vernon, D.: The icub cognitive humanoid robot: An open-system research platform for enactive cognition. Journal of Bionics Engineering 1(3), 191–198 (2004)
Metta, G., Fitzpatrick, P., Natale, L.: Yarp: Yet another robot platform. International Journal of Advanced Robotic Systems 3(1), 43–48 (2006)
Duran, B., Sandini, G.: Towards the implementation of a “chaotic” smooth pursuit. In: IEEE/RAS International Conference on Humanoid Robots (accepted, 2007)
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Durán, B., Kuniyoshi, Y., Sandini, G. (2008). Eyes-Neck Coordination Using Chaos. In: Bruyninckx, H., Přeučil, L., Kulich, M. (eds) European Robotics Symposium 2008. Springer Tracts in Advanced Robotics, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78317-6_9
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DOI: https://doi.org/10.1007/978-3-540-78317-6_9
Publisher Name: Springer, Berlin, Heidelberg
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