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I2Bot: an open-source tool for multi-modal and embodied simulation of insect navigation.

Xuelong Sun^1,2, Michael Mangan³, Jigen Peng^1,2

¹Machine Life and Intelligence Research Center, Guangzhou University, Guangzhou, People's Republic of China.

Journal of the Royal Society, Interface

|January 21, 2025

Summary

This study introduces I2Bot, a novel insect simulation tool. It enhances understanding of insect navigation and aids autonomous robot development by modeling insect morphology and behavior.

Keywords:

animal intelligence bio-inspired biorobotics embodiment insect locomotion insect navigation

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Area of Science:

Comparative cognition
Robotics
Computational neuroscience

Background:

Understanding animal intelligence requires integrating brain, body, and environment.
Insects exhibit complex navigation despite limited neural resources.
Current computational models lack realistic insect morphology and environmental interaction.

Purpose of the Study:

To present I2Bot, a novel simulation tool for insect intelligence research.
To enable realistic modeling of insect morphology, dynamics, and sensory capabilities.
To facilitate the study of embodied navigation behaviors and principles.

Main Methods:

Developed I2Bot, a simulation tool based on real insect morphology.
Integrated dynamic sensory capabilities, physical dynamics, and gait controllers.
Implemented classical embodied navigation behaviors within the simulation.

Main Results:

I2Bot successfully models insect morphology and environmental interactions.
Fundamental navigation principles were revealed through implemented behaviors.
The tool facilitates validation of computational models and robotic applications.

Conclusions:

I2Bot accelerates the understanding of insect intelligence.
The simulation tool fosters advancements in autonomous robotic systems.
Open-sourcing I2Bot promotes collaborative research in bio-inspired robotics.