Results 131 to 140 of about 192,739 (195)
Advances in 3D and 4D Printing of Soft Robotics and Their Applications
This article summarizes the development of 3D‐printed soft robotics in the recent decade. The article discusses the printing capabilities of different additive manufacturing technologies in terms of soft polymers, multimaterial printability, soft robotic printing, and 4D printing.
Hao Liu+5 more
wiley +1 more source
Multifunctional Position and Stiffness Control of Soft Fluidic Actuators Using Supercooled Liquid
This work explores the use of supercooled liquid as a multifunctional working fluid for soft actuators to allow independent control of position and stiffness; the solution is used to both inflate the elastomer chambers while in liquid state and to achieve a dramatic increase in stiffness (up to 13 times) with rapid, reversible crystallization.
Hoseung Seo, Michael T. Tolley
wiley +1 more source
Toward Autonomous Self‐Healing in Soft Robotics: A Review and Perspective for Future Research
In this article, five different phases (damage detection, cleaning, damage closure, material healing, and healing assessment) are investigated to have an autonomous self‐healing at the system level with the focus on soft robotics. It delves into the importance of each phase, why and where they matter, and reviews relevant technologies that enable ...
Seyedreza Kashef Tabrizian+2 more
wiley +1 more source
Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis
Process and image data are equivalent with the teacher model pretrained on image data. Knowledge distillation transfers normal condition data to the student model. When an unknown fault occurs, differences between the teacher and student models are quantified via gradients to isolate the fault. Data‐driven deep learning is effective in diagnosing known
Yi Liu, Jiajun Huang, Mingwei Jia
wiley +1 more source
Using cloud computing technology, a telerehabilitation application allows patients to perform exercises remotely. Sensor data from a textile‐based IoT glove is processed in the cloud and transmitted as exercise commands to an actuating T‐IoT glove worn by patients.
Kadir Ozlem+5 more
wiley +1 more source
Smart Transfemoral Prosthetic Socket with Motorized Cable‐Driven System
This study presents an innovative transfemoral socket featuring a motorized cable‐driven system and a sensorized liner, designed to adapt to changes in residual limb volume while monitoring interface pressures. Users can seamlessly control the socket in both open‐ and closed‐loop modes via a customized mobile application, enhancing comfort and ...
Linda Paternò+7 more
wiley +1 more source
Regulating Airflow Using Hybrid LCN for Soft Pneumatic Circuits
To address more autonomous soft robots with embodied control and regulation systems, herein, a liquid crystal network‐based fluid regulator that can be manipulated through multiphysical stimuli is proposed. Aided by finite element modeling for thermal actuation, regulators are designed and incorporated into fluidic circuits and demonstrate that they ...
Elif Kurt+6 more
wiley +1 more source
Design, Modeling, and Control of a Soft Robotic Diaphragm‐Assist Device in a Respiratory Simulator
A soft robotic diaphragm‐assist device using fabric‐based pneumatic actuators with a 2‐step control system to optimize synchronization and support is introduced. This system can detect the initiation of breathing to trigger assistance and regulate pressures to provide the correct level of inhalation augmentation. Validation and testing are completed on
Diego Quevedo‐Moreno+5 more
wiley +1 more source
Symmetry Breaking Metamaterial Sleeve Actuators
Metamaterial sleeves are designed to impart to a soft inflatable structure, nonlinear characteristics within the pressure–volume domain. By tuning the unit cells of the metamaterial sleeve, symmetry breaking is achieved during the inflation–deflation cycle.
Imran Qayyum Mundial+3 more
wiley +1 more source
A mobile robot equipped with a 3D‐printed, noninvasive electrophysiological sensor for real‐time monitoring of tomato plant health based on irrigation levels is presented. The sensor provides high electrical reliability, sensitive electrophysiological signal detection (0.0122 mV), and 86.91% classification accuracy using scalogram images, thereby ...
Yiting Chen+4 more
wiley +1 more source