Abstract
Robots designed for assisting humans in their homes need to adapt to the changing requirements of daily life. This requires multimodal sensor systems as well as learning strategies for understanding new goals and for recognizing new objects. However, coping with changes is not limited to environmental sensing. In order to achieve full autonomy, the robots must adapt their behaviour due to good and bad experiences made. Concepts and first results of modelling intelligent sensing and adaptive behaviour in an artificial mind as well as of merging mind and machine are presented in this paper.
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References
Dietrich, D., Bruckner, D., Zucker, G., Müller, B., Tmej, A.: Psychoanalytical model for automation and robotics. In: IEEE Africon 2009, Nairobi, Kenya (2009)
Doeben-Henisch, G.: Humanlike computational learning theory: a computational semiotics perspective. In: Proc. IEEE Africon 2009, Nairobi, Kenya (2009)
Gonzalez, R., Woods, R.: Digital image processing. Prentice Hall, Englewood Cliffs (2008)
Jin, T., Lee, B., Lee, J.-M.: AGV Navigation using a space and time sensor fusion of an active camera. Inter. J. of Navigation and Port Research 27(3), 273–282 (2003)
Mertens, A., Reiser, U., Brenken, B., Lüdtke, M., Hägele, M., Verl, A., Brandl, C., Schlick, C.: Assistive robots in eldercare and daily living: Automation of individual services for senior citizens. In: Jeschke, S., Liu, H., Schilberg, D. (eds.) ICIRA 2011, Part I. LNCS, vol. 7101, pp. 542–552. Springer, Heidelberg (2011)
Nauth, P.: A method for goal understanding and self-generating will for humanoid robots. In: Proc. 3rd International Conference on Human System Interaction, Poland, pp. 344–349 (2010)
Stubbs, K., Wettergreen, D.: Anatomy and common ground in human-robot interaction: a field study. IEEE Intelligent Systems, 42–50 (2007)
Sun, R.: Cognitive Social Simulation Incorporating Cognitive Architectures. IEEE Intelligent Systems, 33–39 (2007)
Surmann, H., Bredenfeld, A., Christaller, T., Frings, R., Petersen, U., Wisspeintner, T.: The volksbot. In: Proc. Inter. Conf. on Simulation, Modelling and Programming for Autonomous Robots, Italy, pp. 551–561 (2008)
Toth, D.: Object recognition of humanoid robots using visual sensors. Diploma Thesis, University of Applied Sciences Frankfurt a.M., Germany (2009) (in German)
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Nauth, P.M. (2014). Improvement of Assistive Robot Behavior by Experience-Based Learning. In: Hippe, Z., Kulikowski, J., Mroczek, T., Wtorek, J. (eds) Human-Computer Systems Interaction: Backgrounds and Applications 3. Advances in Intelligent Systems and Computing, vol 300. Springer, Cham. https://doi.org/10.1007/978-3-319-08491-6_27
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DOI: https://doi.org/10.1007/978-3-319-08491-6_27
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08490-9
Online ISBN: 978-3-319-08491-6
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