Sun Xuelong, Mangan Michael, Peng Jigen, Yue Shigang
Machine Life and Intelligence Research Center, Guangzhou University, Guangzhou, People's Republic of China.
School of Mathematics and Information Science, Guangzhou University, Guangzhou, People's Republic of China.
J R Soc Interface. 2025 Jan;22(222):20240586. doi: 10.1098/rsif.2024.0586. Epub 2025 Jan 22.
Achieving a comprehensive understanding of animal intelligence demands an integrative approach that acknowledges the interplay between an organism's brain, body and environment. Insects, 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 real insects. This tool empowers robotic models with dynamic sensory capabilities, realistic modelling of insect morphology, physical dynamics and sensory capacity. By integrating gait controllers and computational models into I2Bot, we have implemented classical embodied navigation behaviours and revealed some 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.
要全面理解动物智能,需要一种综合方法,该方法要认识到生物体的大脑、身体和环境之间的相互作用。昆虫尽管计算资源有限,但在导航方面展现出非凡能力。现有的计算模型往往难以如实地复制真实昆虫的形态及其与环境的相互作用,这阻碍了在机器人技术中的验证和实际应用。为了弥补这些差距,我们提出了I2Bot,这是一种基于真实昆虫形态特征的新型模拟工具。该工具赋予机器人模型动态感官能力、对昆虫形态、物理动力学和感官能力的逼真建模。通过将步态控制器和计算模型集成到I2Bot中,我们实现了经典的具身导航行为,并揭示了一些基本的导航原理。通过开源I2Bot,我们旨在加速对昆虫智能的理解,并推动自主机器人系统开发的进展。