Synchronization and gait adaptation in evolving hexapod robots

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4095 LNAI, Issue , 2006, Pages 113-125

  Mazzapioda, Mariagiovanna ^a   Nolfi, Stefano ^a  

^a INSTITUTE OF COGNITIVE SCIENCES AND TECHNOLOGIES   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RESEARCH; DEGREES OF FREEDOM (MECHANICS); DISTRIBUTED PARAMETER CONTROL SYSTEMS; GAIT ANALYSIS; MOTION CONTROL; NEUROLOGY; SYNCHRONIZATION;

DISTRIBUTED CONTROL ARCHITECTURE; HEXAPOD ROBOTS; LOCAL SENSORY INFORMATION; WALKING BEHAVIOR;

MOBILE ROBOTS;

EID: 33749658222     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11840541_10     Document Type: Conference Paper

References (14)

1. Gallagher, J., Beer, D.R., Espenschied, K., Quinn, R.D.: Application of evolved locomotion controllers to a hexapod robot. Robotics and Autonomous Systems. (1996) 19: 95-103.
2. Ijspeert, A.J., Crespi, A., and Cabelguen, J.M.: Simulation and robotics studies of salamander locomotion. Applying neurobiological principles to the control of locomotion in robots. Neuroinformatics. (2005) 3(3):171-196.
3. Hulse, M., Wischmann, S., Pasemann F.: Structure and function of evolved neuro-controllers for autonomous robots. Connection Science. (2004) 16 (4): 249-266.
4. Nolfi, S., Floroeano, D.: Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines. Cambridge, MA: MIT Press/Bradford Books (2000)
5. Kamimura, A., Murata, S., Yoshida, E., Kurokawa H., Tomita K., Kokaji S.: Self-reconfigurable modular robot - experiments on reconfiguration and locomotion. In T. J. Tarn et al. (Eds), Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems. (2001) New York: IEEE Press.
6. Yim, M., Zhang, Y., Duff, D.: Modular robots. IEEE Spectrum. (2002) 30-34.
7. Sims, K.: Evolving 3D morphology and behavior by competition. In R. Brooks & P. Maes (Eds), Proceedings of Fourth Conference on Artificial Life. (1994) Cambridge, MA:MIT Press.
8. Bongard, J., Pfeifer, R.: Evolving complete agents using artificial ontogeny. In Hara F. & R. Pfeifer (Eds), iMorpho-functional Machines: The New Species: Designing Embodied Intelligence. Berlin: Springer Verlag (2003)
9. Hornby, G. S., Pollack, J. B.: Creating high-level components with a generative representation for body-brain evolution. Artificial Life. (2002) 8(3):223-246
10. Bianco R., Nolfi S. (2004). Toward open-ended evolutionary robotics: evolving elementary robotic units able to self-assemble and self-reproduce. Connection Science, 4: 227-248.
11. Mazzapioda, M., Nolfi, S.: Synchronization whitin Homogeneous Neural Modules Controlling a Simulated Hexapod Robot. Proceedings in AlifeX. (2006) In press.
12. Elphick, M.R., Kemenes, G., Staras, K., O'Shea, M.: Behavioural role for nitric oxide in chemosensory activation of feeding in a mollusc. Journal of Neuroscience (1995) 15(11):7653-7664
13. Elphick, M.R., Williams L., O'Shea M.: New Features of the locust optic lobe:evidence of a role for nitric oxide in insect vision. Journal of Experimental Biology (1996) 199: 2395-2407
14. Husbands, P., Philippides A., Smith T.M.C., O'Shea M.: Volume Signalling in Real and Robot Nervous Systems. Theory in Biosciences (2001), 120: 253-269