Development of automatic insect-tracking robot system for measuring local activity changes in free walking

Area of Science:

• Neuroethology
• Robotics
• Insect Behavior

Background:

• Insect adaptability relies on sensory-driven behavior despite limited nervous systems.
• Traditional methods for studying insect olfaction and behavior have limitations in precise stimulus measurement and detailed analysis.
• Investigating neuroethological processes requires advanced measurement techniques.

Purpose of the Study:

• To develop an autonomous robotic system for tracking free-walking insects.
• To elucidate the relationship between olfactory sensory stimuli and behavioral changes in insects.
• To measure electroantennogram (EAG) responses during insect movement for olfactory reception analysis.

Main Methods:

• A robotic system autonomously tracks insects, specifically male silk moths (Bombyx mori).
• High-speed cameras and instrumentation amplifiers record insect movement and electroantennogram (EAG) responses.
• The system achieves precise tracking with an error margin under 5 mm.

Main Results:

• Silk moths show significant EAG amplitude during initial odor source localization.
• Analysis indicates moths may not solely pursue the strongest odor concentration.
• Information-theoretic analysis suggests navigation is based on the probability of odor detection.

Conclusions:

• The developed robotic system enables naturalistic measurement of olfactory-driven behavior.
• Findings deepen the understanding of insect adaptive behaviors and odor-guided navigation.
• This approach provides new insights into the neuroethological basis of insect olfaction.