Active categorical perception in an evolved anthropomorphic robotic arm

2009 IEEE Congress on Evolutionary Computation, CEC 2009

Volumn , Issue , 2009, Pages 31-38

  Tuci, E ^a   Massera, G ^a   Nolfi, S ^a  

^a INSTITUTE OF COGNITIVE SCIENCES AND TECHNOLOGIES   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CATEGORICAL PERCEPTION; COARSE-GRAINED; COGNITIVE PROCESS; CONTINUOUS TIME; INTERNAL REPRESENTATION; NEURAL CONTROLLER; OPERATIONAL PRINCIPLES; TACTILE PERCEPTION; TACTILE SENSORS; THEORETICAL APPROACH;

ROBOTIC ARMS;

ROBOTICS;

EID: 70449817443     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2009.4982927     Document Type: Conference Paper

References (17)

1. A. Noë, Action in Perception. MIT Press, Cambridge, MA, 2005.
2. R. Pfeifer and C. Scheier, Understanding Intelligence. Cambridge, MA: MIT Press, 1999.
3. S. Nolfi, "Power and limits of reactive agents," Neurocomputing, vol.42, pp. 119-145, 2002.
4. R. D. Beer, "The dynamics of active categorical perception in an evolved model agent," Adaptive Behavior, vol.11, pp. 209-243, 2003.
5. E. Tuci, C. Ampatzis, F. Vicentini, and M. Dorigo, "Evolving homogeneous neuro-controllers for a group of heterogeneous robots: coordinated motion, cooperation, and acoustic communication," Artificial Life, vol.14, no.2, pp. 157-178, 2008.
6. S. Nolfi, "Behavior and cognition as a complex adaptive system: Insights from robotic experiments," in Philosophy of Complex Systems, Handbook on Foundational/Philosophical Issues for Complex Systems in Science, C. Hooker, Ed. Elsevier, In Press.
7. N. Franceschini, J. M. Pichon, C. Blanes, and J. M. Brady, "From insect vision to robot vision," Philosophical Transactions: Biological Sciences, vol.337, no.1281, pp. 283-294, 1992.
8. M. Dill, "Visual pattern recognition in drosophila involves retinotopic matching," Nature, vol.365, pp. 751-753, 1993. (Pubitemid 23339880)
9. C. Scheier, R. Pfeifer, and Y. Kunyioshi, "Embedded neural networks: exploiting constraints," Neural Networks, vol.11, pp. 1551-1596, 1998.
10. S. Nolfi, "Categories formation in self-organizing embodied agents," in Handbook of Categorization in Cognitive Science, H. Cohen and C. Lefebvre, Eds. Elsevier, 2005, pp. 869-889.
11. S. Nolfi and D. Marocco, "Evolving visually-guided robots able to discriminate between different landmarks," in From Animals to Animats 6. Proc. of the VI Int. Conf. on Simulation of Adaptive Behavior, J. A. Meyer, A. Berthoz, D. Floreano, H. L. Roitblat, and S. W. Wilson, Eds. Cambridge, MA: MIT Press, 2000, pp. 413-419.
12. I. Harvey, E. Di Paolo, R. Wood, M. Quinn, and E. Tuci, "Evolutionary robotics: A new scientific tool for studying cognition," Artificial Life, vol.11, no.1-2, pp. 79 - 98, 2005.
13. G. Massera, A. Cangelosi, and S. Nolfi, "Evolution of prehension ability in an anthropomorphic neurorobotic arm," Front. Neurorobot., vol.1, 2007.
14. R. D. Beer and J. C. Gallagher, "Evolving dynamic neural networks for adaptive behavior," Adaptive Behavior, vol.1, no.1, pp. 91-122, 1992.
15. D. E. Goldberg, Genetic algorithms in search, optimization and machine learning. Reading, MA: Addison-Wesley, 1989.
16. S. H. Strogatz, Nonlinear Dynamics and Chaos. Perseus Books Publishing, 2000.
17. th Int. Conf. on Simulation of Adaptive Behavior (SAB '02), B. Hallam, D. Floreano, J. Hallam, G. Hayes, and J.-A. Meyer, Eds. MIT Press, Cambridge, MA, 2002, pp. 266-271.