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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,…

Robotics · Computer Science 2025-10-07 Mohammadjavad Javadi , Charlie Wadds , Robin Chhabra

Soft underwater robots typically explore bioinspired designs at the expense of power efficiency when compared to traditional underwater robots, which limits their practical use in real-world applications. We leverage a fluidic closed-loop…

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…

Robotics · Computer Science 2023-10-20 Chenyu Zhang , Chen Zhang , Juntian Qu , Xiang Qian

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…

Exploring bodies of water on their surface allows robots to efficiently communicate and harvest energy from the sun. On the water surface, however, robots often face highly unstructured environments, cluttered with plant matter, animals,…

Multimodal locomotion is crucial for an animal's adaptability in unstructured wild environments. Similarly, in the human gastrointestinal tract, characterized by viscoelastic mucus, complex rugae, and narrow sphincters like the cardia,…

Robotics · Computer Science 2026-03-31 Zhihao Lv , Xiaoyong Zhang , Mengfan Zhang , Xiaoyu Song , Xingyue Liu , Yide Liu , Shaoxing Qu , Guoyong Mao

Locomotive robots that do not rely on electronics and/or electromagnetic components will open up new perspectives and applications for robotics. However, these robots usually involve complicated and tedious fabrication processes, limiting…

Robotics · Computer Science 2022-05-04 Wenzhong Yan , Ankur Mehta

We present the modeling, design, fabrication and feedback control of an earthworm-inspired soft robot capable of crawling on surfaces by actively manipulating the frictional force between its body and the surface. Earthworms are segmented…

Robotics · Computer Science 2017-10-19 Joey Z. Ge , Ariel A. Calderón , Néstor O. Pérez-Arancibia

Climbing soft robots are of tremendous interest in both science and engineering due to their potential applications in intelligent surveillance, inspection, maintenance, and detection under environments away from the ground. The challenge…

Applied Physics · Physics 2019-02-07 Yichao Tang , Qiuting Zhang , Gaojian Lin , Jie Yin

In the quest for electrically-driven soft actuators, the focus has shifted away from liquid-gas phase transition, commonly associated with reduced strain rates and actuation delays, in favour of electrostatic and other electrothermal…

Robotics · Computer Science 2025-04-28 Diogo Fonseca , Pedro Neto

Crawling is a common locomotion mechanism in soft robots and nonskeletal animals. In this work we propose modeling soft-robotic legged locomotion by approximating it with an equivalent articulated robot with elastic joints. For concreteness…

Soft Condensed Matter · Physics 2020-01-22 Benny Gamus , Lior Salem , Amir D. Gat , Yizhar Or

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…

Robotics · Computer Science 2025-03-17 Boxi Xia , Jiaming Fu , Hongbo Zhu , Zhicheng Song , Yibo Jiang , Hod Lipson

In nature, a variety of limbless locomotion patterns flourish from the small or basic life form (Escherichia coli, the amoeba, etc.) to the large or intelligent creatures (e.g., slugs, starfishes, earthworms, octopuses, jellyfishes, and…

Soft Condensed Matter · Physics 2016-11-29 Liangliang Zhu , Yunteng Cao , Yilun Liu , Zhe Yang , Xi Chen

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 robotics is attractive for wearable applications that require conformal interactions with the human body. Soft wearable robotic garments hold promise for supplying dynamic compression or massage therapies, such as are applied for…

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…

Robotics · Computer Science 2022-12-07 W. David Null , Y Z

High-speed locomotion of animals gives them tremendous advantages in exploring, hunting, and escaping from predators in varying environments. Enlightened by the fast-running gait of mammals like cheetahs and wolves, we designed and…

Robotics · Computer Science 2023-08-16 Zechen Xiong , Yufeng Su , Hod Lipson

Jumping is an efficient locomotion strategy to traverse cluttered, uneven, or unstable environments in nature, yet replicating continuous, autonomous leaping in soft robots remains challenging due to limited energy storage and reliance on…

Applied Physics · Physics 2025-10-13 Fangjie Qi , Caizhi Zhou , Haitao Qing , Haoze Sun , Jie Yin

There are many spaces inaccessible to humans where robots could help deliver sensors and equipment. Many of these spaces contain three-dimensional passageways and uneven terrain that pose challenges for robot design and control. Everting…

Robotics · Computer Science 2022-09-19 Nelson G. Badillo Perez , Margaret M. Coad

It has been a great challenge to develop robots that are able to perform complex movement patterns with high speed and, simultaneously, high accuracy. Copepods are animals found in freshwater and saltwater habitats that can have extremely…

Robotics · Computer Science 2023-05-02 Zhiguo He , Yang Yang , Pengcheng Jiao , Haipeng Wang , Guanzheng Lin , Thomas Pähtz
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