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Related papers: Creation of a Modular Soft Robotic Fish Testing Pl…

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In the application of underwater creature study, comparing with propeller-powered ROVs and servo motor actuated robotic fish, novel biomimetic fish robot designs with soft actuation structure could interact with aquatic creatures closely…

Robotics · Computer Science 2021-10-15 Ningzhe Hou

Accurate simulation of soft mechanisms under dynamic actuation is critical for the design of soft robots. We address this gap with our differentiable simulation tool by learning the material parameters of our soft robotic fish. On the…

Soft robotics has the potential to revolutionize robotic locomotion, in particular, soft robotic swimmers offer a minimally invasive and adaptive solution to explore and preserve our oceans. Unfortunately, current soft robotic swimmers are…

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

Fish-inspired aquatic robots are gaining increasing attention in marine robot communities due to their high swimming speeds and efficient propulsion enabled by flexible bodies that generate undulatory motions. To support the design…

Robotics · Computer Science 2025-11-07 Zhiheng Chen , Wei Wang

Autonomous underwater robots typically require higher cost and time for demonstrations compared to other domains due to the complexity of the environment. Due to the limited capacity and payload flexibility, it is challenging to find…

The ocean vast unexplored regions and diverse soft-bodied marine organisms have spurred interest in bio-inspired underwater soft robotics. Recent advances have enabled new capabilities in underwater movement, sensing, and interaction.…

Robotics · Computer Science 2025-08-19 Lei Li , Boyang Qin , Wenzhuo Gao , Yanyu Li , Yiyuan Zhang , Bo Wang , Shihan Kong , Jian Wang , Dekui He , Junzhi Yu

Sim-to-real transfer remains a significant challenge in soft robotics due to the unpredictability introduced by common manufacturing processes such as 3D printing and molding. These processes often result in deviations from simulated…

Performing long-term experimentation or large-scale data collection for machine learning in the field of soft robotics is challenging, due to the hardware robustness and experimental flexibility required. In this work, we propose a modular…

Robotics · Computer Science 2024-09-06 Kiyn Chin , Carmel Majidi , Abhinav Gupta

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…

Robotics · Computer Science 2025-04-16 Kevin Soto , Isabel Hess , Brandon Schrader , Shan He , Patrick Musgrave

Soft robots are intrinsically capable of adapting to different environments by changing their shape in response to interaction forces with the environment. However, sensing and feedback are still required for higher level decisions and…

Soft Condensed Matter · Physics 2023-10-18 Shibo Zou , Sergio Picella , Jelle de Vries , Vera Kortman , Aimée Sakes , Johannes T. B. Overvelde

We present OpenFish: an open source soft robotic fish which is optimized for speed and efficiency. The soft robotic fish uses a combination of an active and passive tail segment to accurately mimic the thunniform swimming mode. Through the…

Robotics · Computer Science 2022-06-06 Sander C. van den Berg , Rob B. N. Scharff , Zoltán Rusák , Jun Wu

In the last few years, there have been many new developments and significant accomplishments in the research of bionic robot fishes. However, in terms of swimming performance, existing bionic robot fishes lag far behind fish, prompting…

Robotics · Computer Science 2022-07-01 Zhiwei Yu , Kai Li , Yu Ji , Simon X. Yang

Bio-inspired soft robots have already shown the ability to handle uncertainty and adapt to unstructured environments. However, their availability is partially restricted by time-consuming, costly and highly supervised design-fabrication…

Robotics · Computer Science 2025-04-28 Afonso Silva , Diogo Fonseca , Diogo M. Neto , Mihail Babcinschi , Pedro Neto

Simulations are highly valuable in marine robotics, offering a cost-effective and controlled environment for testing in the challenging conditions of underwater and surface operations. Given the high costs and logistical difficulties of…

Soft machines are poised to deliver significant real-world impact, with soft robotics emerging as a key sub-discipline. This field integrates biological inspiration, materials science, and embodied intelligence to create bio-robotic…

Robotics · Computer Science 2025-02-18 M. Gepner , J. Mack , A. A. Stokes

Developing soft circuits from individual soft logic gates poses a unique challenge: with increasing numbers of logic gates, the design and implementation of circuits leads to inefficiencies due to mathematically unoptimized circuits and…

Scombrid fishes and tuna are efficient swimmers capable of maximizing performance to escape predators and save energy during long journeys. A key aspect in achieving these goals is the flexibility of the tail, which the fish optimizes…

Fluid Dynamics · Physics 2024-11-19 L. Padovani , G. Manduca , D. Paniccia , G. Graziani , R. Piva , C. Lugni

Soft-growing robots are innovative devices that feature plant-inspired growth to navigate environments. Thanks to their embodied intelligence of adapting to their surroundings and the latest innovation in actuation and manufacturing, it is…

Robotics · Computer Science 2025-01-24 Fabio Stroppa

Soft robots offer adaptability and safe interaction with complex environments. Rapid prototyping kits that allow soft robots to be assembled easily will allow different geometries to be explored quickly to suit different environments or to…

Robotics · Computer Science 2024-10-28 Luyang Zhao , Yitao Jiang , Chun-Yi She , Muhao Chen , Devin Balkcom
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