Miniature deep-sea morphable robot with multimodal locomotion

IF 26.1 1区 计算机科学 Q1 ROBOTICS
Fei Pan, Jiaqi Liu, Zonghao Zuo, Xia He, Zhuyin Shao, Junyu Chen, Haoxuan Wang, Qiyi Zhang, Feiyang Yuan, Bohan Chen, Tongtong Jin, Liwen He, Yun Wang, Kangle Zhang, Xilun Ding, Tiefeng Li, Li Wen
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引用次数: 0

Abstract

Research on miniature deep-sea robots is an emerging field focused on the development of deployable, compact devices capable of interacting with the unique environments and organisms of the deep ocean. In this study, we present a design strategy for a centimeter-scale deep-sea soft actuator, weighing 16 grams, that incorporates bistable chiral metamaterials and tube-sealed shape memory alloys. According to our design, the increased modulus induced by the hydrostatic pressure was used to achieve a higher snapping velocity of the bistable chiral unit, thus lifting the actuator’s performance. We showed that the actuator can produce undistorted cyclic motions at various depths in the deep sea. Subsequently, we developed an untethered miniature deep-sea robot that is capable of multimodal locomotion by repurposing its legs and fins. To validate the robot’s performance, this miniature robot was deployed from deep-sea crewed submersibles, performing swimming, gliding, morphing, and crawling in the Haima Cold Seep (1380-meter depth) and the Mariana Trench (10,600-meter depth); it was then retrieved by the submersible fully intact. The actuation module design enabled the robot to perform comparably in the Haima Cold Seep and laboratory aquarium conditions (atmospheric pressure). Additionally, we developed a wearable soft gripper based on the same metamaterial design strategy to facilitate safe deep-sea operations, ranging from soft-specimen collection to heavy-object manipulation (~3400-meter depth). This study offers design insights into creating next-generation miniature deep-sea actuators and robots, paving the way for future exploration and interaction with deep-sea ecosystems.
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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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