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The control of pneumatically driven soft robots typically requires electronics. Microcontrollers are connected to power electronics that switch valves and pumps on and off. As a recent alternative, fluidic control methods have been…

Aiming to achieve both high functionality and flexibility in soft robot system, this paper presents a soft urethane sheet-like valve with an amplifier that can perform logical operations using only pneumatic signals. When the control…

机器人学 · 计算机科学 2025-12-01 Yuki Origane , Koya Cho , Hideyuki Tsukagoshi

The one-to-one mapping of control inputs to actuator outputs results in elaborate routing architectures that limit how complex fluidic soft robot behaviours can currently become. Embodied intelligence can be used as a tool to counteract…

机器人学 · 计算机科学 2024-04-02 Maks Gepner , Jonah Mack , Francesco Giorgio-Serchi , Adam A. Stokes

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…

The current fabrication and assembly of fluidic circuits for soft robots relies heavily on manual processes; as the complexity of fluidic circuits increases, manual assembly becomes increasingly arduous, error-prone, and timeconsuming. We…

机器人学 · 计算机科学 2023-12-05 Lehong Wang , Savita V. Kendre , Haotian Liu , Markus P. Nemitz

Existing fluidic soft logic gates for the control of soft robots either rely on extensive manual fabrication processes or expensive printing techniques. In our work, we explore Fused Deposition Modeling for creating fully 3D printed fluidic…

机器人学 · 计算机科学 2023-12-05 Savita V. Kendre , Lehong Wang , Ethan Wilke , Nicholas Pacheco , Loris Fichera , Markus P. Nemitz

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…

The vision of creating entirely-soft robots capable of performing complex tasks will be accomplished only when the controllers required for autonomous operation can be fully implemented on soft components. Despite recent advances in…

机器人学 · 计算机科学 2020-03-10 Ke Xu , Nestor O. Perez-Arancibia

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…

机器人学 · 计算机科学 2025-02-18 M. Gepner , J. Mack , A. A. Stokes

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

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…

软凝聚态物质 · 物理学 2023-10-18 Shibo Zou , Sergio Picella , Jelle de Vries , Vera Kortman , Aimée Sakes , Johannes T. B. Overvelde

Edible robotics is an emerging research field with potential use in environmental, food, and medical scenarios. In this context, the design of edible control circuits could increase the behavioral complexity of edible robots and reduce…

机器人学 · 计算机科学 2023-04-06 Shuhang Zhang , Bokeon Kwak , Dario Floreano

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…

机器人学 · 计算机科学 2025-04-28 Afonso Silva , Diogo Fonseca , Diogo M. Neto , Mihail Babcinschi , Pedro Neto

With soft robotics being increasingly employed in settings demanding high and controlled contact forces, recent research has demonstrated the use of soft robots to estimate or intrinsically sense forces without requiring external sensing…

机器人学 · 计算机科学 2021-11-22 Lukas Lindenroth , Danail Stoyanov , Kawal Rhode , Hongbin Liu

As soft robot design matures, researchers have converged to sophisticated design paradigms to enable the development of more suitable platforms. Two such paradigms are soft-rigid hybrid robots, which utilize rigid structural materials in…

机器人学 · 计算机科学 2025-06-05 Zach J. Patterson , Emily R. Sologuren , Daniela Rus

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

Tactile sensing plays a fundamental role in enabling robots to navigate dynamic and unstructured environments, particularly in applications such as delicate object manipulation, surface exploration, and human-robot interaction. In this…

机器人学 · 计算机科学 2025-09-18 Annan Zhang , Miguel Flores-Acton , Andy Yu , Anshul Gupta , Maggie Yao , Daniela Rus

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…

机器人学 · 计算机科学 2021-10-15 Ningzhe Hou

Soft robotics has emerged as a promising technology that holds great potential for various application areas. This is due to soft materials unique properties, including flexibility, safety, and shock absorption, among others. Despite many…

机器人学 · 计算机科学 2024-08-12 Andrija Milojevic , Kyrre Glette

A wide range of microorganisms, e.g. bacteria, propel themselves by rotation of soft helical tails, also known as flagella. Due to the small size of these organisms, viscous forces overwhelm inertial effects and the flow is at low Reynolds…

机器人学 · 计算机科学 2021-03-11 Yayun Du , Andrew Miller , Mohammad Khalid Jawed
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