Abstract
In safety-critical and in space applications, high demands are made on the reliability of the involved systems. As autonomy could increase both the efficiency and the reliability of such systems, a reliable autonomous system could be beneficial for several robotic scenarios.
In this paper, the concept of a biologically inspired, robust behaviour control system is presented. The system includes components for prediction of actions to be executed and the evaluation of the action consequences. In its design process, particularly the occurence of unexpected situations was taken into account. The paper concludes with a presentation of preliminary simulation results and the evaluation setup that will be used in future tests to demonstrate the model properties.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Holst, E., Mittelstaedt, H.: Das Reafferenzprinzip. Naturwissenschaften 37, 464–476 (1950), doi:10.1007/BF00622503
Sperry, R.W.: Neural basis of the spontaneous optokinetic response produced by visual inversion. Journal of Comparative and Physiological Psychology 43, 482–489 (1950)
Miall, R., Wolpert, D.: Forward models for physiological motor control. Neural Networks 9(8), 1265–1279 (1996); Four Major Hypotheses in Neuroscience
Schenck, W., Hoffmann, H., Möller, R.: Grasping of Extrafoveal Targets: A Robotic Model. New Ideas in Psychology 29(3), 235–259 (2011)
Dyer, F.: The stroop phenomenon and its use in the study of perceptual, cognitive, and response processes. Memory & Cognition 1, 106–120 (1973)
Richard Simon, J., Wolf, J.D.: Choice reaction time as a function of angular stimulus-response correspondence and age. Ergonomics 6(1), 99–105 (1963)
Pashler, H.: Dual-task interference in simple tasks: Data and theory. Psychological Bulletin 116, 220–244 (1994)
Norman, D.A., Shallice, T.: Attention to action: Willed and automatic control of behaviour. In: Davidson, R.J., Schwartz, G.E., Shapiro, D. (eds.) Consciousness and Selfregulation, vol. 4, pp. 1–18. Plenum Press (1986)
Schneider, W., Shiffrin, R.M.: Controlled and automatic human information processing: I. Detection, search, and attention. Psychological Review 84, 1–66 (1977)
Gurney, K., Hussain, A., Chambers, J., Abdullah, R.: Controlled and Automatic Processing in Animals and Machines with Application to Autonomous Vehicle Control. In: Alippi, C., Polycarpou, M., Panayiotou, C., Ellinas, G. (eds.) ICANN 2009, Part I. LNCS, vol. 5768, pp. 198–207. Springer, Heidelberg (2009)
Garforth, J., McHale, S., Meehan, A.: Executive attention, task selection and attention-based learning in a neurally controlled simulated robot. Neurocomputing 69(16-18), 1923–1945 (2006)
Beckers, G., Zeki, S.: The consequences of inactivating areas v1 and v5 on visual motion perception. Brain 118(1), 49–60 (1995)
Markowitsch, H.J.: Psychogenic amnesia. NeuroImage 20(suppl.1), S132–S138 (2003); Convergence and Divergence of Lesion Studies and Functional Imaging of Cognition
Tulving, E.: Episodic and semantic memory. In: Tulving, E., Donaldson, W. (eds.) Organization of Memory, pp. 381–402. Academic Press (1972)
Baddeley, A.: Working memory. Oxford psychology series. Clarendon Press (1986)
Baddeley, A.: The episodic buffer: a new component of working memory? Trends in Cognitive Sciences 4(11), 417–423 (2000)
Wheeler, M.A., Stuss, D.T., Tulving, E.: Toward a theory of episodic memory: The frontal lobes and autonoetic consciousness. Psychological Bulletin 121, 331–354 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Köhler, T., Rauch, C., Schröer, M., Berghöfer, E., Kirchner, F. (2012). Concept of a Biologically Inspired Robust Behaviour Control System. In: Su, CY., Rakheja, S., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2012. Lecture Notes in Computer Science(), vol 7507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33515-0_48
Download citation
DOI: https://doi.org/10.1007/978-3-642-33515-0_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33514-3
Online ISBN: 978-3-642-33515-0
eBook Packages: Computer ScienceComputer Science (R0)