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On robots and flies: Modeling the visual orientation behavior of flies.

MPG-Autoren
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Huber,  SA
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Franz,  MO
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Huber, S., Franz, M., & Bülthoff, H. (1998). On robots and flies: Modeling the visual orientation behavior of flies. Robotics and Autonomous Systems, 29(4), 227-242. doi:10.1016/S0921-8890(99)00055-X.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0013-E7B9-B
Zusammenfassung
Although artificial and biological systems face similar sensorimotor control problems, until today only a few attempts have been made to implement
specific biological control structures on robots. Nevertheless, the process of designing the sensorimotor control of a robot can contribute to our understanding
of these mechanisms and can provide the basis of a critical evaluation of existing biological models. Flies have developed a specialized visuomotor control for
tasks such as course stabilization, fixation and approach towards stationary objects, tracking of moving objects and landing, which are based on the analysis of
visual motion information. Theoretical and experimental results suggest that in flies the visuomotor control for course stabilization as well as fixation and
approach towards stationary objects may be implemented at least partially by one common sensory-circuit. We present agents with a visuomotor controller that
regulates the two behaviors of course stabilization and object fixation. To test this controller under real world conditions, we implemented it on a miniature
robot. We have been able to show that in addition to course stabilization and object fixation, the robot also approaches stationary objects.