海洋机器人中的生物灵感和生物仿生学:当前应用和未来趋势综述。

IF 3.1 3区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY Bioinspiration & Biomimetics Pub Date : 2024-04-02 DOI:10.1088/1748-3190/ad3265
Amal Prakash, Arjun R Nair, H Arunav, Rthuraj P R, V M Akhil, Charbel Tawk, Karthik V Shankar
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引用次数: 0

摘要

在过去几年里,研究界对生物仿生学的兴趣日益浓厚,尤其是在海洋领域。由于恶劣的海洋环境带来的困难,对生物仿生学的研究成为众多商业和研究型海洋企业的革命性补救措施。仿生海洋机器人通过模仿海洋生物的各种结构和行为,利用这些海洋生物千百年来形成的进化优势和适应能力,在恶劣的条件下茁壮成长,从而走在了创新的前沿。本研究将根据生物仿真海洋机器人的推进机制,深入探讨其当前的发展和研究工作。通过研究这些生物仿生设计,本综述旨在揭开自然界的神秘面纱,为改进海洋生物提供重要信息。除了揭示这些生物启发机制的复杂性之外,这项调查还有助于引导未来的研究方向和可能存在的障碍,推动仿生海洋机器人领域取得更多进展。考虑到利用大自然的创造力在地球上最具挑战性的环境中航行和茁壮成长的革命性潜力,本综述的结论敦促采用多学科方法,将机器人学和生物学结合起来。仿生海洋机器人学领域不仅代表着我们与海洋关系的范式转变,而且通过了解和模仿大自然的解决方案,为可持续地探索和利用海洋资源开辟了以前无法想象的可能性。
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Bioinspiration and biomimetics in marine robotics: a review on current applications and future trends.

Over the past few years, the research community has witnessed a burgeoning interest in biomimetics, particularly within the marine sector. The study of biomimicry as a revolutionary remedy for numerous commercial and research-based marine businesses has been spurred by the difficulties presented by the harsh maritime environment. Biomimetic marine robots are at the forefront of this innovation by imitating various structures and behaviors of marine life and utilizing the evolutionary advantages and adaptations these marine organisms have developed over millennia to thrive in harsh conditions. This thorough examination explores current developments and research efforts in biomimetic marine robots based on their propulsion mechanisms. By examining these biomimetic designs, the review aims to solve the mysteries buried in the natural world and provide vital information for marine improvements. In addition to illuminating the complexities of these bio-inspired mechanisms, the investigation helps to steer future research directions and possible obstacles, spurring additional advancements in the field of biomimetic marine robotics. Considering the revolutionary potential of using nature's inventiveness to navigate and thrive in one of the most challenging environments on Earth, the current review's conclusion urges a multidisciplinary approach by integrating robotics and biology. The field of biomimetic marine robotics not only represents a paradigm shift in our relationship with the oceans, but it also opens previously unimaginable possibilities for sustainable exploration and use of marine resources by understanding and imitating nature's solutions.

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来源期刊
Bioinspiration & Biomimetics
Bioinspiration & Biomimetics 工程技术-材料科学:生物材料
CiteScore
5.90
自引率
14.70%
发文量
132
审稿时长
3 months
期刊介绍: Bioinspiration & Biomimetics publishes research involving the study and distillation of principles and functions found in biological systems that have been developed through evolution, and application of this knowledge to produce novel and exciting basic technologies and new approaches to solving scientific problems. It provides a forum for interdisciplinary research which acts as a pipeline, facilitating the two-way flow of ideas and understanding between the extensive bodies of knowledge of the different disciplines. It has two principal aims: to draw on biology to enrich engineering and to draw from engineering to enrich biology. The journal aims to include input from across all intersecting areas of both fields. In biology, this would include work in all fields from physiology to ecology, with either zoological or botanical focus. In engineering, this would include both design and practical application of biomimetic or bioinspired devices and systems. Typical areas of interest include: Systems, designs and structure Communication and navigation Cooperative behaviour Self-organizing biological systems Self-healing and self-assembly Aerial locomotion and aerospace applications of biomimetics Biomorphic surface and subsurface systems Marine dynamics: swimming and underwater dynamics Applications of novel materials Biomechanics; including movement, locomotion, fluidics Cellular behaviour Sensors and senses Biomimetic or bioinformed approaches to geological exploration.
期刊最新文献
Reproducing the caress gesture with an anthropomorphic robot: a feasibility study. Stability and agility trade-offs in spring-wing systems. Genetic algorithm-based optimal design for fluidic artificial muscle (FAM) bundles. Touch-down condition control for the bipedal spring-mass model in walking. Predictive uncertainty in state-estimation drives active sensing.
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