Title :
A bee-inspired robot visual homing method
Author :
Bianco, G. ; Cassinis, R. ; Rizzi, A. ; Adami, N. ; Mosna, P.
Author_Institution :
Dept. of Electron. for Autom., Brescia Univ., Italy
Abstract :
This paper presents a proposal for a visual homing algorithm inspired by the behaviours of social insects. The homing method presented is based on an affine motion model of which parameters are estimated by the best matching criteria. In the matching phase no attempts are made either to recognise objects or to extract 3D models of the scene. Hypotheses and perspectives about the use of single landmarks by bees are introduced. The tests and experimental results are presented
Keywords :
image matching; mobile robots; navigation; object recognition; robot vision; affine motion model; bee-inspired visual homing; best matching criteria; landmark recognition; mobile robots; navigation; parameter estimation; Computational modeling; Insects; Layout; Motion estimation; Navigation; Parameter estimation; Proposals; Robotics and automation; Robots; Testing;
Conference_Titel :
Advanced Mobile Robots, 1997. Proceedings., Second EUROMICRO workshop on
Conference_Location :
Brescia
Print_ISBN :
0-8186-8174-8
DOI :
10.1109/EURBOT.1997.633620