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

Abstract

Achieving a comprehensive understanding of animal intelligence demands an integrative approach that acknowledges the interplay between an organism’s brain, body, and environment. Insects like ants, despite their limited computational resources, demonstrate remarkable abilities in navigation. Existing computational models often fall short in faithfully replicating the morphology of real insects and their interactions with the environment, hindering validation and practical application in robotics. To address these gaps, we present I2Bot, a novel simulation tool based on the morphological characteristics of desert ants. This tool empowers robotic models with dynamic sensory capabilities, realistic modeling of insect morphology, physical dynamics, and sensory capacity. By integrating gait controllers and sensory-motor loops, our approach elucidates fundamental navigation principles. By open-sourcing I2Bot, we aim to accelerate the understanding of insect intelligence and foster advances in the development of autonomous robotic systems.