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相关论文: Snakes combine vertical and lateral bending to tra…

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Snakes can traverse almost all types of environments by bending their elongate bodies in 3-D to interact with the terrain. Similarly, a snake robot is a promising platform to perform critical tasks in various environments. Understanding how…

生物物理 · 物理学 2023-02-23 Qiyuan Fu

Snake moves across various terrains by bending its elongated body. Recent studies discovered that snakes can use vertical bending to traverse terrain of large height variation, such as horizontally oriented cylinders, a wedge (Jurestovsky,…

定量方法 · 定量生物学 2025-09-29 Yifeng Zhang , Qihan Xuan , Qiyuan Fu , Chen Li

Snakes can bend their elongate bodies in various forms to traverse various environments. We understand how snakes use lateral bending to push against asperities on flat ground for propulsion, and snake robots can do so effectively. However,…

生物物理 · 物理学 2025-09-26 Qiyuan Fu , Chen Li

Many snakes live in deserts, forests, and river valleys and traverse challenging 3-D terrain like rocks, felled trees, and rubble, with obstacles as large as themselves and variable surface properties. By contrast, apart from branch…

生物物理 · 物理学 2025-09-16 Sean W. Gart , Thomas W. Mitchel , Chen Li

Snakes can move through almost any terrain. Similarly, snake robots hold the promise as a versatile platform to traverse complex environments like earthquake rubble. Unlike snake locomotion on flat surfaces which is inherently stable, when…

生物物理 · 物理学 2025-09-22 Qiyuan Fu , Sean W. Gart , Thomas W. Mitchel , Jin Seob Kim , Gregory S. Chirikjian , Chen Li

Despite advances in a diversity of environments, snake robots are still far behind snakes in traversing complex 3-D terrain with large obstacles. This is due to a lack of understanding of how to control 3-D body bending to push against…

机器人学 · 计算机科学 2025-09-26 Divya Ramesh , Qiyuan Fu , Chen Li

Snakes can move through almost any terrain. Although their locomotion on flat surfaces using planar gaits is inherently stable, when snakes deform their body out of plane to traverse complex terrain, maintaining stability becomes a…

生物物理 · 物理学 2025-09-18 Qiyuan Fu , Chen Li

Limbless terrestrial animals exhibit exceptional locomotor versatility and control, currently unmatched by engineered counterparts. Here, we introduce a computational framework that enables soft synthetic snakes to navigate unstructured,…

机器人学 · 计算机科学 2026-05-26 Xiaotian Zhang , Ali Albazroun , Tixian Wang , Songyuan Cui , Prashant G. Mehta , Mattia Gazzola

Snake robots are inspired by the ability of biological snakes to move over rock, grass, leaves, soil, up trees, along pavement and more. Their ability to move in multiple distinct environments is due to their legless locomotion strategy,…

机器人学 · 计算机科学 2026-03-05 Umit Sen , Andri Mahegan , Gina Olson

Soft robotic snakes made of compliant materials can continuously deform their bodies and, therefore, mimic the biological snakes' flexible and agile locomotion gaits better than their rigid-bodied counterparts. Without wheel support, to…

Snake robots have been studied for decades with the aim of achieving biological snakes' fluent locomotion. Yet, as of today, their locomotion remains far from that of the biological snakes. Our recent study suggested that snake locomotion…

机器人学 · 计算机科学 2024-07-24 Seongil Kwon , Serdar Incekara , Gangil Kwon , Junhyoung Ha

Limbless organisms such as snakes can navigate nearly all terrain. In particular, desert-dwelling sidewinder rattlesnakes (Crotalus cerastes) operate effectively on inclined granular media (such as sand dunes) that induce failure in…

Snakes are a remarkable evolutionary success story. Many snake-inspired robots have been proposed over the years. Soft robotic snakes (SRS) with their continuous and smooth bending capability better mimic their biological counterparts'…

机器人学 · 计算机科学 2020-10-23 Dimuthu D. Arachchige , Yue Chen , Isuru S. Godage

Limbless animals such as snakes, limbless lizards, worms, eels, and lampreys move their slender, long bodies in three dimensions to traverse diverse environments. Accurately quantifying their continuous body's 3-D shape and motion is…

生物物理 · 物理学 2025-10-14 Qiyuan Fu , Thomas W. Mitchel , Jin Seob Kim , Gregory S. Chirikjian , Chen Li

Soft robotic snakes (SRSs) have a unique combination of continuous and compliant properties that allow them to imitate the complex movements of biological snakes. Despite the previous attempts to develop SRSs, many have been limited to…

Snake robots have the potential to maneuver through tightly packed and complex environments. One challenge in enabling them to do so is the complexity in determining how to coordinate their many degrees-of-freedom to create purposeful…

机器人学 · 计算机科学 2020-12-10 Tianyu Wang , Julian Whitman , Matthew Travers , Howie Choset

Snake robots are characterized by their ability to navigate through small spaces and loose terrain by utilizing efficient cyclic forms of locomotion. Soft snake robots are a subset of these robots which utilize soft, compliant actuators to…

机器人学 · 计算机科学 2023-03-29 Farhan Rozaidi , Emma Waters , Olivia Dawes , Jennifer Yang , Joseph R. Davidson , Ross L. Hatton

We optimize three-dimensional snake kinematics for locomotor efficiency. We assume a general space-curve representation of the snake backbone with small-to-moderate lifting off the ground and negligible body inertia. The cost of locomotion…

生物物理 · 物理学 2022-05-11 Silas Alben

Many animals, modern aircraft, and underwater vehicles use streamlined body shapes that reduce fluid dynamic drag to achieve fast and effective locomotion in air and water. Similarly, numerous small terrestrial animals move through…

生物物理 · 物理学 2025-09-16 Chen Li , Andrew O. Pullin , Duncan W. Haldane , Han K. Lam , Ronald S. Fearing , Robert J. Full

Motivated by a possible convergence of terrestrial limbless locomotion strategies ultimately determined by interfacial effects, we show how both 3D gait alterations and locomotory adaptations to heterogeneous terrains can be understood…

生物物理 · 物理学 2021-11-17 Xiaotian Zhang , Noel Naughton , Tejaswin Parthasarathy , Mattia Gazzola
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