The facilitatory role of linguistic instructions on developing manipulation skills

IEEE Computational Intelligence Magazine

Volumn 5, Issue 3, 2010, Pages 33-42

  Massera, Gianluca ^a   Tuci, Elio ^a   Ferrauto, Tomassino ^a   Nolfi, Stefano ^a  

^a INSTITUTE OF COGNITIVE SCIENCES AND TECHNOLOGIES   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE PROCESS; ARTIFICIAL NEURAL NETWORK; CONTROL RULES; CURRENT PHASE; FREE PARAMETERS; HUMANOID ROBOT; ROBOT CONTROLLER; SENSORY MOTOR COORDINATION; SPHERICAL OBJECTS;

ANTHROPOMORPHIC ROBOTS; LINGUISTICS;

NEURAL NETWORKS;

EID: 77954727623     PISSN: 1556603X     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCI.2010.937321     Document Type: Article

References (32)

1. S. F. Cappa and D. Perani, "The neural correlates of noun and verb processing," J. Neurolinguistics, vol.16, no.2-3, pp. 183-189, 2003.
2. A. Glenberg and M. Kaschak, "Grounding language in action," Psychon. Bull. Rev., vol.9, pp. 558-565, 2002.
3. O. Hauk, I. Johnsrude, and F. Pulvermuller, "Somatotopic representation of action words in human motor and premotor cortex," Neuron, vol.41, no.2, pp. 301-307, 2004.
4. F. Pulvermuller, The Neuroscience of Language. On Brain Circuits of Words and Serial Order. Cambridge, U.K.: Cambridge Univ. Press, 2003.
5. G. Rizzolatti and M. A. Arbib, "Language within our grasp," Trends Neurosci., 1998.
6. A. Cangelosi, V. Tikhanoff, J. F. Fontanari, and E. Hourdakis, "Integrating language and cognition: A cognitive robotics approach," IEEE Comput. Intell. Mag., vol.2, no.3, pp. 65-70, 2007.
7. A. Cangelosi, G. Metta, G. Sagerer, S. Nolfi, C. L. Nehaniv, K. Fischer, J. Tani, G. Sandini, L. Fadiga, B. Wrede, K. Rohlfing, E. Tuci, K. Dautenhahn, J. Saunders, and A. Zeschel, "Integration of action and language knowledge: A roadmap for developmental robotics," Tech. Rep., 2010.
8. S. Nolfi, "Behaviour as a complex adaptive system: On the role of self-organization in the development of individual and collective behaviour," Complexus, vol.2, no.3-4, pp. 195-203, 2005.
9. J. Weng, J. McClelland, A. Pentland, O. Sporns, I. Stockman, M. Sur, and E. Thelen, "Autonomous mental development by robots and animals," Science, vol.291, no.5504, pp. 599-600, 2001.
10. J. Weng, "Developmental robotics: Theory and experiments," Int. J. Humanoid Robot., vol.1, no.2, pp. 199-236, 2004.
11. S. Schaal, "Arm and hand movement control," in Handbook of Brain Theory and Neural Networks, 2nd ed., M. Arbib, Ed. Cambridge, MA: MIT Press, 2002, pp. 110-113.
12. M. Gienger, M. Toussaint, N. Jetchev, A. Bendig, and C. Goerick, "Optimization of f luent approach and grasp motions," in Proc. 8th IEEE-RAS Int. Conf. Humanoid Robots. IEEE Press, 2008, pp. 111-117.
13. G. Sandini, G. Metta, and D. Vernon, "Robotcub: An open framework for research in embodied cognition," Int. J. Humanoid Robot., 2004.
14. S. Schaal, J. Peters, J. Nakanishi, and A. Ijspeert, "Learning movement primitives," in Proc. Int. Symp. Robotics Research (ISRR2003), S. verlag, Ed. 2004, pp. 1-10.
15. J. Felip and A. Morales, "Robust sensor-based grasp primitive for a three-finger robot hand," in Proc. IEEE/RSJ Int. Conf. Intelligent Robots and Systems, 2009.
16. E. Oztop, N. S. Bradley, and M. A. Arbib, "Infant grasp learning: A computational model," Exp. Brain Res., vol.158, no.4, pp. 480-503, 2004.
17. C. von Hofsten, "Eye-hand coordination in the newborn," Dev. Psychol., vol.18, pp. 450-461, 1982.
18. C. von Hofsten, "Developmental changes in the organization of prereaching movements," Dev. Psychol., vol.20, pp. 378-388, 1984.
19. C. von Hofsten, "Structuring of early reaching movements: a longitudinal study," J. Mot. Behav., vol.23, pp. 280-292, 1991.
20. P. Rochat, "Self-perception and action in infancy," Exp. Brain Res., vol.123, pp. 102-109, 1998.
21. M. K. McCarty, R. K. Clifton, D. H. Ashmead, P. Lee, and N. Goulet, "How infants use vision for grasping objects," Child Dev., vol.72, pp. 973-987, 2001.
22. E. Tuci, G. Massera, and S. Nolfi, "Active categorical perception of object shapes in a simulated anthropomorphic robotic arm," IEEE Trans. Evol. Comput., to be published.
23. G. Massera, A. Cangelosi, and S. Nolfi, "Evolution of prehension ability in an anthropomorphic neurorobotic arm," Front. Neurorobot., vol.1, pp. 1-9, 2007.
24. T. Buehrmann and E. A. Di Paolo, "Closing the loop: Evolving a model-free visually- guided robot arm," in Proc. 9th Int. Conf. Simulation and Synthesis of Living Systems, J. Pollack, M. Bedau, P. Husbands, T. Ikegami, and R. Watson, Eds. Cambridge, MA: MIT Press, 2004, pp. 63-68.
25. T. G. Sandercock, D. C. Lin, and W. Z. Rymer, "Muscle models," in Handbook of Brain Theory and Neural Networks, 2nd ed., M. Arbib, Ed. Cambridge, MA: MIT Press, 2002, pp. 711-715.
26. R. Shadmehr and S. P. Wise, The Computational Neurobiology of Reaching and Pointing: A Foundation for Motor Learning. Cambridge, MA: MIT Press, 2005.
27. S. Nolfi and D. Floreano, Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines. Cambridge, MA: MIT Press, 2000.
28. X. Yao and M. M. Islam, "Evolving artificial neural network ensembles," IEEE Comput. Intell. Mag., vol.3, no.1, pp. 31-42, 2008.
29. L. S. Vygotsky, Thought and Language. Cambridge, MA: MIT Press, 1962.
30. L. S. Vygotsky, Mind in Society. Cambridge, MA: Harvard Univ. Press, 1978.
31. M. Mirolli and D. Parisi. (2009). Towards a vygotskyan cognitive robotics: The role of language as a cognitive tool. New Ideas Psychol. [Online]. Available: http://www.sciencedirect.com/science/ article/B6VD4-4X00P73-1/2/ 5eb2e93d' 3fc615eea3ec0f637af6fc89
32. V. Mohan, J. Zenzeri, P. Morasso, and G. Metta, "Equilibrium point hypothesis revisited: Advances in the computational framework of passive motion paradigm," pp. 1-3.