仿细菌鞭毛的软体水下无人机,可安全探索复杂海洋环境。
ZodiAq: An Isotropic Flagella-Inspired Soft Underwater Drone for Safe Marine Exploration
- 12根鞭毛状机械臂构成十二面体结构,具备冗余与柔顺性。
- 基于柯塞拉杆模型构建数字孪生,实现动态环境自适应控制。
- 适合海洋生物交互探测,尤其适用于敏感生态区域考察。
机器人水下探索面临流体效应、动力学耦合复杂及与海洋生物敏感交互等挑战,亟需采用软体机器人方案。为此,本文提出一种新型原型机ZodiAq,其灵感来自原核生物细菌鞭毛。该装置采用12根鞭毛状臂组成的十二面体结构,具有设计冗余与柔顺特性,适用于复杂水下地形。系统核心为树莓派控制单元,集成惯性、深度与视觉感知模块,并配备声学调制解调器实现通信。结合所设计的控制律,使其具备智能行为能力。基于柯塞拉杆应变建模,我们在仿真工具箱中构建了该原型的数字孪生,以支持分析与控制优化。针对动态水域环境,开发并实现了简化的模型预测控制器,使无人机可在流体环境中实现智能自适应运动。大量实验验证了其设计冗余性、具身智能、爬行步态及在多种水下场景中的应用潜力。本研究显著推动了水下软体机器人发展,为安全、高效、环保的水下探索提供新路径。
原文摘要 · Abstract (English)
The inherent challenges of robotic underwater exploration, such as hydrodynamic effects, the complexity of dynamic coupling, and the necessity for sensitive interaction with marine life, call for the adoption of soft robotic approaches in marine exploration. To address this, we present a novel prototype, ZodiAq, a soft underwater drone inspired by prokaryotic bacterial flagella. ZodiAq's unique dodecahedral structure, equipped with 12 flagella-like arms, ensures design redundancy and compliance, ideal for navigating complex underwater terrains. The prototype features a central unit based on a Raspberry Pi, connected to a sensory system for inertial, depth, and vision detection, and an acoustic modem for communication. Combined with the implemented control law, it renders ZodiAq an intelligent system. This paper details the design and fabrication process of ZodiAq, highlighting design choices and prototype capabilities. Based on the strain-based modeling of Cosserat rods, we have developed a digital twin of the prototype within a simulation toolbox to ease analysis and control. To optimize its operation in dynamic aquatic conditions, a simplified model-based controller has been developed and implemented, facilitating intelligent and adaptive movement in the hydrodynamic environment. Extensive experimental demonstrations highlight the drone's potential, showcasing its design redundancy, embodied intelligence, crawling gait, and practical applications in diverse underwater settings. This research contributes significantly to the field of underwater soft robotics, offering a promising new avenue for safe, efficient, and environmentally conscious underwater exploration.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。