ALBATROSS: A bioinspired, aerially deployable, autonomous sailing sensor platform

IF 25.5 1区 计算机科学 Q1 ROBOTICS
Shane Kyi Hla Win, Danial Sufiyan, Brian Leonard Suhadi, Luke Soe Thura Win, Xinyu Cai, Wei Jun Ang, Shaohui Foong
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引用次数: 0

Abstract

Rapid deployment of autonomous sensor platforms in remote aquatic areas remains a challenge for environmental monitoring, disaster response, and ocean science. We present ALBATROSS (Airborne Lander with Buoyant AuToROtating Sailing Sensor), a hybrid bioinspired robot that passively autorotates for soft water landing and transitions into a wind-driven sailboat. Its dual-function rigid wingsails, acting as both sails and autorotating wings, enable efficient descent and propulsion. A freely rotating main sail, controlled by a tail rudder, and a directly actuated front sail enhance thrust and aerodynamic stability. A biomimetic caudal fin–inspired rudder enables propulsion during low-wind conditions and agile maneuvering in challenging upwind tacking. We empirically evaluated different wingsail airfoils through wind tunnel testing and optimized rudder design through hydrodynamic modeling, material selection, and speed-power efficiency analysis across different sizes and stiffnesses. Field experiments validate aerial deployment from 150 meters, autorotating descent, passive self-righting, and successful waypoint navigation using both rule-based control and a reinforcement learning approach. By integrating minimal actuation, bioinspired structures, and passive dynamics across aerial and marine operating regimes, this work extracts generalizable design principles for lightweight, aerially deployable sailing robots capable of robust, energy-efficient marine sensing.
信天翁:一种受生物启发的、可在空中展开的自主航行传感器平台
在偏远水域快速部署自主传感器平台仍然是环境监测、灾害响应和海洋科学的挑战。我们介绍了ALBATROSS(机载着陆器与浮力自动旋转帆船传感器),这是一种混合型仿生机器人,它可以被动地自动在软水着陆,并过渡到风力驱动的帆船。它的双功能刚性翼帆,既充当风帆又充当自动机翼,可以实现有效的下降和推进。由尾舵控制的自由旋转主帆和直接驱动的前帆增强了推力和空气动力学稳定性。一个仿生尾鳍启发方向舵,使推进在低风条件和灵活机动的挑战逆风航向。我们通过风洞试验对不同翼帆型进行了经验评估,并通过流体动力学建模、材料选择和速度-功率效率分析对不同尺寸和刚度的舵设计进行了优化。现场实验验证了从150米高空部署、自动下降、被动自扶正以及使用基于规则的控制和强化学习方法的成功航点导航。通过整合最小驱动、仿生结构和空中和海上操作系统的被动动力学,这项工作为轻型、空中可部署的航海机器人提取了通用的设计原则,这些机器人能够实现强大、节能的海洋传感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Science Robotics
Science Robotics Mathematics-Control and Optimization
CiteScore
30.60
自引率
2.80%
发文量
83
期刊介绍: Science Robotics publishes original, peer-reviewed, science- or engineering-based research articles that advance the field of robotics. The journal also features editor-commissioned Reviews. An international team of academic editors holds Science Robotics articles to the same high-quality standard that is the hallmark of the Science family of journals. Sub-topics include: actuators, advanced materials, artificial Intelligence, autonomous vehicles, bio-inspired design, exoskeletons, fabrication, field robotics, human-robot interaction, humanoids, industrial robotics, kinematics, machine learning, material science, medical technology, motion planning and control, micro- and nano-robotics, multi-robot control, sensors, service robotics, social and ethical issues, soft robotics, and space, planetary and undersea exploration.
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