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相关论文: Highly agile flat swimming robot

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Untethered soft robots are essential for advancing the real-world deployment of soft robotic systems in diverse and multitasking environments. Inspired by soft-bodied inchworm, we present a fully untethered soft robot with a curved,…

机器人学 · 计算机科学 2025-10-07 Mohammadjavad Javadi , Charlie Wadds , Robin Chhabra

All-around, real-time navigation and sensing across the water environments by miniature soft robotics are promising, for their merits of small size, high agility and good compliance to the unstructured surroundings. In this paper, we…

机器人学 · 计算机科学 2023-10-20 Chenyu Zhang , Chen Zhang , Juntian Qu , Xiang Qian

Miniature locomotion robots with the ability to navigate confined environments show great promise for a wide range of tasks, including search and rescue operations. Soft miniature locomotion robots, as a burgeoning field, have attracted…

机器人学 · 计算机科学 2023-09-21 Quan Xiong , Xuanyi Zhou , Jonathan William Ambrose , Raye Chen-Hua Yeow

Many organisms, including various species of spiders and caterpillars, change their shape to switch gaits and adapt to different environments. Recent technological advances, ranging from stretchable circuits to highly deformable soft…

Amphibious robots, operating seamlessly across land and water, are advancing applications in conservation, disaster response, and defense. Their performance depends on locomotion mechanisms, actuation technologies, and sensor-control…

机器人学 · 计算机科学 2026-02-24 Yi Jin , Chang Liu , Roger D. Quinn , Robert J. Wood , C. Chase Cao

Natural selection has tuned many flying and swimming animals across different species to share the same narrow design space for optimal high-efficient and energy-saving locomotion, e.g., their dimensionless Strouhal numbers St that relate…

应用物理 · 物理学 2022-04-13 Yinding Chi , Yaoye Hong , Yao Zhao , Yanbin Li , Jie Yin

This paper presents a soft earthworm robot that is capable of both efficient locomotion and obstacle avoidance. The robot is designed to replicate the unique locomotion mechanisms of earthworms, which enable them to move through narrow and…

机器人学 · 计算机科学 2024-02-06 Sean Even , Yasemin Ozkan-Aydin

Many different robots have been designed and built to work under water. In many cases, researchers have chosen to use bio-inspired platforms. In most cases, the main goal of the fish inspired robots has been set to autonomously swim and…

机器人学 · 计算机科学 2018-08-29 Mohammad Sharifzadeh , Roozbeh Khodambashi , Wenlong Zhang , Daniel Aukes

Underwater vehicles have seen significant development over the past seventy years. However, bio-inspired propulsion robots are still in their early stages and require greater interdisciplinary collaboration between biologists and…

机器人学 · 计算机科学 2025-06-25 Bobing Zhang , Yiyuan Zhang , Yiming Li , Sicheng Xuan , Hong Wei Ng , Yuliang Liufu , Zhiqiang Tang , Cecilia Laschi

We present an open-source untethered quadrupedal soft robot platform for dynamic locomotion (e.g., high-speed running and backflipping). The robot is mostly soft (80 vol.%) while driven by four geared servo motors. The robot's soft body and…

机器人学 · 计算机科学 2025-03-17 Boxi Xia , Jiaming Fu , Hongbo Zhu , Zhicheng Song , Yibo Jiang , Hod Lipson

Plants need regular and the appropriate amount of watering to thrive and survive. While agricultural robots exist that can spray water on plants and crops such as the , they are expensive and have limited mobility and/or functionality. We…

机器人学 · 计算机科学 2025-08-13 Justin London

Bio-inspired underwater vehicles could yield improved efficiency, maneuverability, and environmental compatibility over conventional propeller-driven underwater vehicles. However, to realize the swimming performance of biology, there is a…

机器人学 · 计算机科学 2025-04-16 Kevin Soto , Isabel Hess , Brandon Schrader , Shan He , Patrick Musgrave

Autonomous ocean-exploring vehicles have begun to take advantage of onboard sensor measurements of water properties such as salinity and temperature to locate oceanic features in real time. Such targeted sampling strategies enable more…

流体动力学 · 物理学 2024-03-19 Peter Gunnarson , John O. Dabiri

Amphibians adapt their morphologies and motions to accommodate movement in both terrestrial and aquatic environments. Inspired by these biological features, we present PuffyBot, an untethered shape morphing robot capable of changing its…

机器人学 · 计算机科学 2025-11-14 Shashwat Singh , Zilin Si , Zeynep Temel

Limbless creatures can crawl on flat surfaces by deforming their bodies and interacting with asperities on the ground, offering a biological blueprint for designing efficient limbless robots. Inspired by this natural locomotion, we present…

Soft machines typically exhibit slow locomotion speed and low manipulation strength because of intrinsic limitations of soft materials. Here, we present a generic design principle that harnesses mechanical instability for a variety of…

Many soft-body organisms found in nature flourish underwater. Similarly, soft robots are potentially well-suited for underwater environments partly because the problematic effects of gravity, friction, and harmonic oscillations are less…

机器人学 · 计算机科学 2022-12-07 W. David Null , Y Z

Depending on multiple parameters, soft robots can exhibit different modes of locomotion that are difficult to model numerically. As a result, improving their performance is complex, especially in small-scale systems characterized by low…

机器人学 · 计算机科学 2025-05-30 Mikołaj Rogóż , Zofia Dziekan , Piotr Wasylczyk

Many marine creatures, gastropods, and earthworms generate continuous traveling waves in their bodies for locomotion within marine environments, complex surfaces, and inside narrow gaps. In this work, we study theoretically and…

软凝聚态物质 · 物理学 2021-08-18 Lior Salem , Amir D. Gat , Yizhar Or

Multi-legged mobile robots possess high mobility performance in rough terrain environments, stemming from their high postural stability, joint flexibility, and the redundancy provided by multiple legs. In prior research on navigating…

机器人学 · 计算机科学 2025-10-30 Yusuke Tsunoda , Seiya Yamamoto , Kazuki Ito , Runze Xiao , Keisuke Naniwa , Koichi Osuka
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