Application of arachnid prey localisation theory for a robot sensorimotor controller

Neurocomputing

Volumn 74, Issue 17, 2011, Pages 3335-3342

  Adams, S V ^a   Wennekers, T ^a   Bugmann, G ^a   Denham, S ^a   Culverhouse, P F ^a  

^a UNIVERSITY OF PLYMOUTH   (United Kingdom)

Author keywords

Arachnid prey localisation; Robot controller; Sensorimotor coordination; Spiking neural network

Indexed keywords

AVERAGE ERRORS; DISTANCE ESTIMATION; ERROR RATE; HIGH DEGREE OF ACCURACY; IN-LINE; MOTOR MODELS; NEURAL MODELS; ORIENTATION SENSING; PHYSICS SIMULATION; PREY LOCALISATION; ROBOT CONTROLLER; ROBOTICS APPLICATIONS; SENSORIMOTOR COORDINATION; SENSORY SIGNALS; SPIKING NEURAL NETWORKS;

COMPUTER SIMULATION; ESTIMATION; ROBOTS;

NEURAL NETWORKS;

ACCURACY; AMPLITUDE MODULATION; ANIMAL BEHAVIOR; ARACHNID; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER PROGRAM; COMPUTER SIMULATION; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NONHUMAN; PREDATOR PREY INTERACTION; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; ROBOTICS; SENSORIMOTOR FUNCTION; SIGNAL DETECTION; SYSTEMATIC ERROR; THEORY VALIDATION; VALIDATION PROCESS;

EID: 80052927467     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.05.020     Document Type: Article

References (23)

1. Braitenberg V. Vehicles: Experiments in Synthetic Psychology 1984, MIT Press, Cambridge, MA.
2. Harvey I., Husbands P., Cliff D., Thompson A., Jakobi N. Evolutionary robotics: the Sussex approach. Robotics and Autonomous Systems 1997, 20:205-224.
3. Damper R.I., French R.L.B., Scutt T. ARBIB: an autonomous robot based on inspirations from biology. Robotics and Autonomous Systems 2000, 31(4):247-274.
4. A. Silvola, R.A. Russell, Robot Communication via Substrate Vibrations, in: Proceedings of the Australasian Conference on Robotics and Automation, 2005.
5. A. Ramisa, Localization and Object Recognition for Mobile Robots, Ph.D. thesis, Universitat Autonoma de Barcelona, 2009.
6. D. Cliff, Computational neuroethology: a provisional manifesto, in: Proceedings of the First International Conference on Simulation of Adaptive Behavior, From Animals to Animats, MIT Press, 1991, pp. 29-39.
7. Stürzl W., Kempter R., van Hemmen J.L. Theory of arachnid prey localization. Physical Review Letters 2000, 84:5668-5671.
8. Brownell P.H., van Hemmen J.L. Vibration sensitivity and a computational theory for prey-localizing behavior in sand scorpions. American Zoologist 2001, 41:1229-1240.
9. A. Wallander, R. Russell, K. Hyyppa, A robot scorpion using ground vibrations for navigation, in: Proceedings of the Australian Conference on Robotics and Automation, 2000.
10. Brownell P.H. Compressional and surface waves in sand: used by desert scorpions to locate prey. Science 1977, 197:479-482.
11. Brownell P.H., Farley R. Orientation to vibrations in sand by the nocturnal scorpion Paruroctonus mesaensis: mechanism of target localization. Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology 1979, 131:31-38.
12. Maass W. Networks of spiking neurons: the third generation of neural network models. Neural Networks 1997, 10:1659-1671.
13. Georgopoulos A., Schwartz A., Kettner R. Neuronal population coding of movement direction. Science 1986, 233:1416-1419.
14. Kim D. Neural network mechanism for the orientation behavior of sand scorpions towards prey. IEEE Transactions on Neural Networks 2006, 17:1070-1076.
15. Goodman D.F., Brette R. Brian: a simulator for spiking neural networks in Python. Frontiers in Neuroinformatics 2008, 2.
16. S.V. Adams, P.F. Culverhouse, T. Wennekers, G. Bugmann, S. Denham, A sensori-motor model of arachnid prey localisation, in: Proceedings of the Eleventh Towards Autonomous Robotic Systems Conference (TAROS 2010), Plymouth, UK, 2010, pp. 1-6.
17. S.V. Adams, Hox Genes, Diversity and Adaptation in Evolutionary Robotics, unpublished MRes Thesis, University of Plymouth, UK, 2009.
18. Root T.M. Chapter 9: Neurobiology. The Biology of Scorpions 1990, 341-411. Stanford University Press, Stanford, California. G.A. Polis (Ed.).
19. Shultz J. Walking and surface film locomotion in terrestrial and semi-aquatic spiders. Journal of Experimental Biology 1987, 128:427-444.
20. A. Crespi, A. Badertscher, A. Guignard, A.J. Ijspeert, Swimming and crawling with an amphibious snake robot, in: Proceedings of the IEEE International Conference on Robotics and Automation, 2005, pp. 3035-3039.
21. Land M. Stepping movements made by jumping spiders during turns mediated by the lateral eyes. Journal of Experimental Biology 1972, 57:15-40.
22. Ijspeert A.J., Crespi A., Ryczko D., Cabelguen J.-M. From swimming to walking with a salamander robot driven by a spinal cord model. Science 2007, 315:1416-1419.
23. van Hemmen J.L., Schwartz A. Population vector code: a geometric universal as actuator. Biological Cybernetics 2008, 98:509-518.