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相关论文: Soft Two-degree-of-freedom Dielectric Elastomer Po…

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Dielectric elastomer actuators (DEAs) have garnered extensive attention especially in soft robotic applications over the past few decades owing to the advantages of lightweight, large strain, fast response and high energy density. However,…

机器人学 · 计算机科学 2026-04-21 Y. Zhao , G. Meng

Soft robotics, with their inherent flexibility and infinite degrees of freedom (DoF), offer promising advancements in human-machine interfaces. Particularly, pneumatic artificial muscles (PAMs) and pneumatic bending actuators have been…

机器人学 · 计算机科学 2023-09-19 Junyi Shen , Tetsuro Miyazaki , Shingo Ohno , Maina Sogabe , Kenji Kawashima

Soft robotic systems offer benefits over traditional rigid systems through reduced contact trauma with soft tissues and by enabling access through tortuous paths in minimally invasive surgery. However, the inherent deformability of soft…

机器人学 · 计算机科学 2020-05-04 James Avery , Mark Runciman , Ara Darzi , George P. Mylonas

Many soft robots struggle to produce dynamic motions with fast, large displacements. We develop a parallel 6 degree-of-freedom (DoF) Stewart-Gough mechanism using Handed Shearing Auxetic (HSA) actuators. By using soft actuators, we are able…

Dielectric elastomers (DEs) that couple deformation and electrostatics have the potential for use in soft sensors and actuators with applications ranging from robotic, biomedical, energy, aerospace and automotive technologies. However,…

软凝聚态物质 · 物理学 2020-10-07 Matthew Grasinger , Kaushik Dayal

Soft robotics is a field of robotic system design characterized by materials and structures that exhibit large-scale deformation, high compliance, and rich multifunctionality. The incorporation of soft and deformable structures endows soft…

Soft actuators offer a safe, adaptable approach to tasks like gentle grasping and dexterous manipulation. Creating accurate models to control such systems however is challenging due to the complex physics of deformable materials. Accurate…

机器人学 · 计算机科学 2022-07-19 Manu Lahariya , Craig Innes , Chris Develder , Subramanian Ramamoorthy

Fluid-based soft actuators are an attractive option for lightweight and human-safe robots. These actuators, combined with fluid pressure force feedback, are in principle a form of series-elastic actuation (SEA), in which nearly all…

机器人学 · 计算机科学 2020-04-07 Chunpeng Wang , John P. Whitney

Soft robots offer an alternative approach to manipulate inside the constrained space while maintaining the safe interaction with the external environment. Due to its adaptable compliance characteristic, external contact force can easily…

机器人学 · 计算机科学 2019-06-28 Yue Chen , Long Wang , Kevin Galloway , Isuru Godage , Nabil Simaan , Eric Barth

As more robots are implemented for contact-rich tasks, tactile sensors are in increasing demand. For many circumstances, the contact is required to be compliant, and soft sensors are in need. This paper introduces a novelly designed soft…

机器人学 · 计算机科学 2021-05-18 Wu-Te Yang , Zhian Kuang , Changhao Wang , Masayoshi Tomizuka

For soft robots to work effectively in human-centered environments, they need to be able to estimate their state and external interactions based on (proprioceptive) sensors. Estimating disturbances allows a soft robot to perform desirable…

This paper introduces a novel approach for modeling the dynamics of soft robots, utilizing a differentiable filter architecture. The proposed approach enables end-to-end training to learn system dynamics, noise characteristics, and temporal…

机器人学 · 计算机科学 2023-08-22 Xiao Liu , Shuhei Ikemoto , Yuhei Yoshimitsu , Heni Ben Amor

Soft wearable robots are a promising new design paradigm for rehabilitation and active assistance applications. Their compliant nature makes them ideal for complex joints like the shoulder, but intuitive control of these robots require…

机器人学 · 计算机科学 2019-10-14 Rejin John Varghese , Benny P L Lo , Guang-Zhong Yang

Soft robots have garnered significant attention due to their promising applications across various domains. A hallmark of these systems is their bilayer structure, where strain mismatch caused by differential expansion between layers…

机器人学 · 计算机科学 2025-02-04 Jiahao Li , Dezhong Tong , Zhuonan Hao , Yinbo Zhu , Hengan Wu , Mingchao Liu , Weicheng Huang

Compared with traditional rigid-body robots, soft robots not only exhibit unprecedented adaptation and flexibility but also present novel challenges in their modeling and control because of their infinite degrees of freedom. Most of the…

机器人学 · 计算机科学 2022-09-21 Tongjia Zheng , Hai Lin

Dielectric elastomers (DEs) are a type of multifunctional materials with salient features that are very attractive in developing soft, lightweight, and small-scale transducers and robotics. This paper reviews the mechanics of soft DE…

软凝聚态物质 · 物理学 2022-10-25 Zinan Zhao , Yingjie Chen , Xueyan Hu , Ronghao Bao , Bin Wu , Weiqiu Chen

Effective force modulation during tissue manipulation is important for ensuring safe robot-assisted minimally invasive surgery (RMIS). Strict requirements for in-vivo distal force sensing have led to prior sensor designs that trade off ease…

机器人学 · 计算机科学 2022-11-11 Zonghe Chua , Allison M. Okamura

Soft robots utilizing inflatable dielectric membranes can realize intricate functionalities through the application of non-mechanical fields. However, given the current limitations in simulations, including low computational efficiency and…

软凝聚态物质 · 物理学 2024-05-21 Zhaowei Liu , Mingchao Liu , K. Jimmy Hsia , Xiaonan Huang , Weicheng Huang

While rigid robots are extensively used in various applications, they are limited in the tasks they can perform and can be unsafe in close human-robot interactions. Soft robots on the other hand surpass the capabilities of rigid robots in…

机器人学 · 计算机科学 2021-12-28 Soheil Habibian

The precise motion control of a multi-degree of freedom~(DOF) robot manipulator is always challenging due to its nonlinear dynamics, disturbances, and uncertainties. Because most manipulators are controlled by digital signals, a novel…

机器人学 · 计算机科学 2021-02-09 Zhian Kuang , Xiang Zhang , Liting Sun , Huijun Gao , Masayoshi Tomizuka
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