Abstract
Brain-like behavior is intimately connected with the ability to actively manage a rich set of interactions with the environment. Originating with very simple movements in homogeneous domains, the gradual evolution of movement sophistication endowed animals with an increasing ability to control their environment, ultimately advancing from the physical into the mental object domain with the advent of language-based communication and thinking. Appearing at the high complexity end of the physical movement evolution ladder, the ability of dextrous manipulation seems in the role of a “transition technology”, leading from movement control into the mental capabilities of language use and thinking. We therefore argue that manual actions and their replication in robots are positioned as a “Rosetta stone” for understanding cognition. Using the example of grasping, we contrast the “clockwork building style” of traditional engineering with more holistic, biologically inspired solutions for grasp synthesis and discuss the potential of the research field of “Manual Intelligence” and its speculative connections with language for making progress towards robots with more brain-like behavior.
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References
St. Amant, R., Wood, A.B.: Tool use for autonomous agents. In: Proc. National Conf. on Artificial Intelligence (AAAI), pp. 184–189 (2005)
Bicchi, A.: Hands for dexterous manipulation and robust grasping: a difficult road toward simplicity. IEEE Trans. Robotics Autom. 16(6), 652–662 (2000)
Bicchi, A., Kumar, V.: Robotic grasping and contact: a review. In: Proceedings ICRA 2000, pp. 348–353 (2000)
Borst, C., Fischer, M., Hirzinger, G.: Calculating hand configurations for precision and pinch grasps. In: Proc. IEEE IROS 2002, pp. 1553–1559 (2002)
Borst, C., Fischer, M., Hirzinger, G.: Efficient and precise grasp planning for real world objects. In: Barbagli, F., Prattichizzo, D., Salisbury, K. (eds.) Multi-point Interaction with Real and Virtual Objects. Tracts in Advanced Robotics, vol. 18, pp. 91–111 (2005)
Butterfass, J., Fischer, M., Grebenstein, M., Haidacher, S., Hirzinger, G.: Design and experiences with DLR Hand II. In: Proc. World Automation Congress, Sevilla (2004)
Castiello, U.: The Neuroscience of Grasping. Nat. Rev. Neurosci. 6, 726–736 (2005)
Cook, S.W., Goldin-Meadow, S.: The Role of Gesture in Learning. Do Children Use Their Hands to Change Their Minds? J. Cognition and Development 7(2), 211–232 (2006)
Cruse, H., Dean, J., Ritter, H. (eds.): Prerational Intelligence – Adaptive Behavior and Intelligent Systems Without Symbols and Logic. Studies in Cognitive Systems, vol. 1-3. Kluwer Academic Publishers, Dordrecht (2000)
Cutkosky, M.R.: On Grasp choice, grasp models and the design of hands for manufacturing tasks. IEEE Trans. Robotics and Automation 5(3), 269–279 (1989)
Dexter - Mechanism, Control and Developmental Programming, http://www-robotics.cs.umass.edu/Research/Humanoid/humanoid_index.html
Fellbaum, C. (ed.): WordNet – An Electronic Lexical Database. MIT Press, Cambridge (1998)
Folio, M.R., Fewell, R.R.: Peabody Developmental Motor Scales PDMS-2 Therapy Skill Builders Publishing (2000)
Gibson, J.J.: The ecological approach to visual perception. Houghton Miffin, Boston (1979)
Mouri, T., Kawasaki, H., Yoshikawa, K., Takai, J., Ito, S.: Anthropomorphic Robot Hand: Gifu Hand III. In: Proc. of Int. Conf. ICCAS 2002 (2002)
Gentilucci, M., Corballis, M.C.: From manual gesture to speech. A gradual transition. Neurosci. & Biobehav. Reviews 30(7), 949–960 (2006)
Guerra-Filho, G., Fermüller, C., Aloimonos, Y.: Discovering a Language for Human Activity. In: Proc. AAAI 2005 Fall Symposium (2005)
Hamdorf, J.M., Hall, J.C.: Acquiring surgical skills. British Journal of Surgery (87), 28–37 (2000)
Hauck, A., Passig, G., Schenk, T., Sorg, M., Färber, G.: On the performance of a biologically motivated visual controlstrategy for robotic hand-eye coordination. In: Proc. IROS 2000, vol. 3, pp. 1626–1632 (2000)
Hadara, U., Wenkert-Olenikc, D., Kraussd, R., Sorokerc, N.: Gesture and the Processing of Speech: Neuropsychological Evidence. Brain and Language 62(1), 107–126 (1998)
Jacobsen, C., Iversen, E.K., Knutti, D.F., Johnson, R.T., Biggers, K.B.: Design of the Utah/MIT dexterous hand. In: ICRA Conf. Proceedings, pp. 1520–1532 (1986)
Jäger, G.: Applications of Game Theory in Linguistics. Language and Linguistics Compass 2, 1749–1767 (2008)
Jeannerod: The timing of natural prehension movments. J. Motor Behavior 16(3), 235–254 (1984)
Kragic, D., Christensen, H.I.: Biologically motivated visual servoing and grasping for real world tasks IROS 2003. In: Proceedings of IROS 2003, vol. 4, pp. 3417–3422 (2003)
Morales, A. (2006), Experimental benchmarking of grasp reliability, http://www.robot.uji.es/people/morales/experiments/benchmark.html
MacNeill, D.: Hand and Mind: what gestures reveal about thought. University of Chicago Press (1992)
Okamura, A.M., Smaby, N., Cutkosky, M.R.: An overview of dexterous manipulation. In: Proceedings ICRA 2000, pp. 255–262 (2000)
Ott, C., Eiberger, O., Friedl, W., Bauml, B., Hillenbrand, U., Borst, C., Albu-Schaffer, A., Brunner, B., Hirschmuller, H., Kielhofer, S., Konietschke, R., Suppa, M., Wimbock, T., Zacharias, F., Hirzinger, G.: A Humanoid Two-Arm System for Dexterous Manipulation. In: 6th Humanoid Robots Conf., pp. 276–283 (2006)
Rehnmark, F., Bluethmann, W., Mehling, J., Ambrose, R.O., Diftler, M., Chu, M., Necessary, R.: Robonaut: The Short List of Technology Hurdles. Computer 38, 28–37 (2005)
Röthling, F., Haschke, R., Steil, J.J., Ritter, H.: Platf orm Portable Anthropomorphic Grasping with the Bielefeld 20 DOF Shadow and 9 DOF TUM Hand. In: IEEE IROS Conference Proceedings (2007)
Röthling, F.: Real Robot Hand Grasping using Simulation-Based Optimisation of Portable Strategies Dissertation, Faculty of Technology, Bielefeld University (2007)
Rosen, J., Hannaford, B., Richards, C.G., Sinanan, M.N.: Markov modeling of minimally invasive surgery based on tool/tissueinteraction and force/torque signatures for evaluating surgical skills. IEEE Trans. Biomed. Engineering 48(5), 579–591 (2001)
Santello, M., Flanders, M., Soechting, J.F.: Patterns of Hand Motion during Grasping and the Influence of Sensory Guidance. Journal of Neuroscience 22(4), 1426–1435 (2002)
Schack, T.: The cognitive architecture of complex movement. Int. J. of Sport and Exercise Psychology 2(4), 403–438 (2004)
Schack, T., Mechsner, F.: Representation of motor skills in human long-term memory. Neurosci. Letters 391, 77–81 (2006)
Shadow Robot Company, The Shadow Dextrous Hand, http://www.shadow.org.uk/products/newhand.shtml
Townsend, W.: The BarrettHand grasper – programmably flexible part handling and assembly Industrial. Robot 27(3), 181–188 (2000)
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Ritter, H., Haschke, R., Steil, J.J. (2009). Trying to Grasp a Sketch of a Brain for Grasping. In: Sendhoff, B., Körner, E., Sporns, O., Ritter, H., Doya, K. (eds) Creating Brain-Like Intelligence. Lecture Notes in Computer Science(), vol 5436. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00616-6_6
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DOI: https://doi.org/10.1007/978-3-642-00616-6_6
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