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SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

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Modelling honeybee visual guidance in a 3-D environment.

G Portelli¹, J Serres, F Ruffier

¹The Institute of Movement Sciences, UMR CNRS - Aix-Marseille university II., France. geoffrey.portelli@univmed.fr

Journal of Physiology, Paris

|November 14, 2009

Summary

Researchers developed a vision-based autopilot for bees, ALIS, using optic flow (OF) to control flight speed and wall clearance. This system successfully navigated simulated tunnels, mimicking honeybee behavior.

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Area of Science:

Robotics and Artificial Intelligence
Ethology and Animal Behavior
Computer Vision

Background:

Honeybee flight behavior suggests sophisticated visual navigation systems.
Optic flow (OF) is hypothesized to be a key sensory input for insect navigation.
Previous models often require complex sensory information or explicit distance/speed measurements.

Purpose of the Study:

To decipher the principles of bee autopilot systems, focusing on optic flow (OF).
To develop a vision-based autopilot (ALIS) for simulated bees.
To validate the system's ability to control speed and clearance in a tunnel environment.

Main Methods:

Computer-simulated experiments with a flying agent (simulated bee).
Development of ALIS, a dual optic flow (OF) regulator with two interdependent feedback loops.
Utilizing a minimalistic visual system (eight pixels) for navigation.

Main Results:

The simulated bee successfully navigated straight and tapered tunnels.
ALIS controlled speed and clearance from four walls (right, left, ground, roof) simultaneously.
The system reacted appropriately to optic flow (OF) perturbations, like textureless walls or tunnel tapering.
Navigation was achieved without explicit speed or distance measurements.

Conclusions:

A minimalistic, vision-based autopilot using optic flow (OF) can effectively control insect-like flight.
The ALIS system provides a plausible explanation for honeybee navigation behaviors observed in ethological studies.
This approach demonstrates the sufficiency of simple visual cues for complex flight control.