Getting inspired from Bees to perform large scale visual precise navigation

2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Volumn 1, Issue , 2004, Pages 619-624

  Bianco, Giovanni M ^a  

^a UNIVERSITY OF VERONA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; COMPUTER SIMULATION; INTELLIGENT AGENTS; LEARNING ALGORITHMS; MAPPING; NAVIGATION; REAL TIME SYSTEMS; SENSORS; TOPOLOGY;

BAYESIAN FILTERING; COLOR CAMERAS; MOTION VECTORS; SUM OF SQUARED DIFFERENCES (SSD);

ROBOTICS;

EID: 14044251565     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. H. Moravec, "Sensor fusion in certainty grids for mobile robots," AI Magazine, vol. 9, pp. 61-74, 1988.
2. H. Moravec and A.Elfes, "High resolution maps from wide angle sonar," in Proceedings of the IEEE/RSJ International Conference on Robotics and Automation, 1985, pp. 116-121.
3. S. Thrun, "Bayesian landmark learning for mobile robot localization," Machine Learning, vol. 33, 1998.
4. B. Kuipers and Y. Byun, "A robot explorations and mapping strategy based on a semantic hierarchy of spatial representations," Robotics and Autonomous Systems, vol. 8, pp. 47-63, 1991.
5. M. Mataric, "A distributed model for mobile robot environment learning and navigation," Artificial Intelligence Laboratory, MIT, Tech. Rep., 1990.
6. A.Elfes, "Sonar-based real-world mapping and navigation," in Proceedings of the IEEE/RSJ International Conference on Robotics and Automation, April 1987, pp. 249-265.
7. A. Arleo, J. R. Millán, and D. Floreano, "Efficient learning of variable-resolution cognitive maps for autonomous indoor navigation," IEEE Transaction of Robotic and Automation, vol. 15, no. 6, pp. 990-1000, december 1999.
8. B. Cartwright and T. Collett, "Landmark learning in bees," Journal of Comparative Physiology, vol. A, no. 151, pp. 521-543, 1983.
9. _, "Landmark maps for honeybees," Biological Cybernetics, no. 57, pp. 85-93, 1987.
10. J. Gould, "Landmark learning by honey bees," Animal Behaviour, no. 35, pp. 26-34, 1987.
11. K. Cheng, T. Collett, A. Fickhard, and R. Wehner, "The use of visual landmarks by honeybees: Bees weight landmarks according to their distance from the goal," Journal of Comparative Physiology, vol. A, no. 161, pp. 469-475, 1987.
12. T. Mori, Y. Matsumoto, T. Shibata, M. Inaba, and H. Inoue, "Trackable attention point generation based on classification of correlation value distribution," in JSME Annual Conference on Robotics and Mechatronics (ROBOMEC 95), Kavasaki (Japan), 1995, pp. 1076-1079.
13. M. Lehrer and G. Bianco, "The turn-back-and-look behaviour: bee versus robot," Biol Cybern, vol. 83, pp. 211-229, 2000.
14. O. Trullier, S. Wiener, A. Berthoz, and J. Meyer, "Biologically based artificial navigation systems: Review and prospects," Progress in Neurobiology, vol. 51, pp. 483-544, 1997.
15. W. Yeap, "Towards a computational theory of cognitive maps," Artificial Intelligence, vol. 32, pp. 297-360, 1988.
16. Y. Endo and R. C. Arkin, "Anticipatory robot navigation by simultaneously localizing and building a cognitive map," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, NV, October 2003.
17. S. Koenig, C. Tovey, and W. Halliburton, "Greedy mapping of terrain," in Proceedings of the International Conference on Robotics and Automation, 2001, pp. 3594-3599.
18. F. Dellaert, W. Burgard, O. Fox, and S. Thrun, "Using the condensation algorithm for robust, vision-based mobile robot localization," in IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, 1999.
19. S. Simhon and G. Dudek, "A global topological map formed by local metric maps," in Proceedings of the IEEE/RSJ International Conference Intelligent Robots and Systems, Victoria, B.C., Canada, October 1998, pp. 1708-1714.
20. G. Bianco and P. Fiorini, "Computational principles for the development of visual skills in robotics," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Maui,Haway (USA), October 29 - November 3 2001.
21. G. Bianco and A. Zelinsky, "The convergence property of goal-based visual navigation," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne (Switzerland), September 30 - October 4 2002.
22. _, "Dealing with robustness in mobile robot guidance while operating with visual strategies," in Proceedings of the IEEE International Conference on Robotics and Automation, San Francisco (CA), April 24-28 2000.
23. M. Lehrer, "Why do bees turn back and look?" Journal of Comparative Physiology, vol. A, no. 172, pp. 549-563, 1993.
24. J. Huttenlocher, N. Newcombe, and E. H. Sandberg, "The coding of spatial location in young children," Cognitive Psycology, vol. 27, pp. 115-147, 1994.