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One of the many secrets to the success and prevalence of insects is their versatile, robust, and complex exoskeleton morphology. A fundamental challenge in insect-inspired robotics has been the fabrication of robotic exoskeletons that can…

机器人学 · 计算机科学 2019-12-02 Mingsong Jiang , Ziyi Zhou , Nicholas G. Gravish

Vertebrate animals benefit from a combination of rigidity for structural support and softness for adaptation. Similarly, integrating rigidity and softness can enhance the versatility of soft robotics. However, the challenges associated with…

机器人学 · 计算机科学 2024-08-05 Arman Goshtasbi , Luca Grignaffini , Ali Sadeghi

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.…

机器人学 · 计算机科学 2025-08-19 Lei Li , Boyang Qin , Wenzhuo Gao , Yanyu Li , Yiyuan Zhang , Bo Wang , Shihan Kong , Jian Wang , Dekui He , Junzhi Yu

Soft robots have the potential to revolutionize the use of robotic systems with their capability of establishing safe, robust, and adaptable interactions with their environment, but their precise control remains challenging. In contrast,…

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

The COVID-19 pandemic has revealed the importance of digital fabrication to enable online learning, which remains a challenge for robotics courses. We introduce a teaching methodology that allows students to participate remotely in a…

Pneumatic soft robots are typically fabricated by molding, a manual fabrication process that requires skilled labor. Additive manufacturing has the potential to break this limitation and speed up the fabrication process but struggles with…

机器人学 · 计算机科学 2025-12-03 Yijia Wu , Zilin Dai , Haotian Liu , Lehong Wang , Markus P. Nemitz

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

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

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 have demonstrated superior flexibility and functionality than conventional rigid robots. These versatile devices can respond to a wide range of external stimuli (including light, magnetic field, heat, electric field, etc.), and…

机器人学 · 计算机科学 2024-01-23 Jiaqi Miao , Siqi Sun

Soft robotics technology can aid in achieving United Nations Sustainable Development Goals (SDGs) and the Paris Climate Agreement through development of autonomous, environmentally responsible machines powered by renewable energy. By…

机器人学 · 计算机科学 2023-03-22 Goffredo Giordano , Saravana Prashanth Murali Babu , Barbara Mazzolai

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…

机器人学 · 计算机科学 2024-09-06 Kiyn Chin , Carmel Majidi , Abhinav Gupta

The confluence of soft robotics and fluidic logic have sparked innovations in integrated robots with superior flexibility and potential machine intelligence. However, current fluidically driven soft robots suffer from either a large number…

机器人学 · 计算机科学 2024-12-04 Yuxin Lin , Xinyi Zhou , Wenhan Cao

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

Purpose of Review: This review provides an overview of the state of the art in bioinspired soft robotics with by examining advancements in actuation, functionality, modeling, and control. Recent Findings: Recent research into actuation…

机器人学 · 计算机科学 2023-12-20 Maxwell Hammond , Venanzio Cichella , Caterina Lamuta

Natural systems integrate the work of many sub-units (cells) toward a large-scale unified goal (morphological and behavioral), which can counteract the effects of unexpected experiences, damage, or simply changes in tasks demands. In this…

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

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…

Three-dimensional (3D) printing has emerged as a powerful tool for material, food, and life science research and development, where the technology democratization necessitates the advancement of open-source platforms. Herein, we developed a…

软凝聚态物质 · 物理学 2022-03-16 Iek Man Lei , Yaqi Sheng , Chon Lok Lei , Cillian Leow , Yan Yan Shery Huang
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