Results 201 to 210 of about 430,339 (312)

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Ensemble neural network models for stability prediction and optimization of hydraulic structures considering uplift pressure and exit gradient. [PDF]

Sci Rep
Elkamhawy E, Sawah MS, Tawfik M, Ismail AS.   +3 more
europepmc   +1 more source

From Origami to Bistable and Laminate Structures: A Review for Multifunctional Applications from Structural Perspective of Shape‐Changing Structures

Advanced Intelligent Systems, EarlyView.
This review explores how shape‐changing structures—origami, bistable, and laminate structures—enable multifunctionality in soft robotics and metamaterials. Starting from structural design, it examines core principles, real‐world applications, and ongoing challenges.
Lingchen Kong, Yaoyao Fiona Zhao
wiley   +1 more source

Obstacle-avoidance trajectory planning method for excavators in confined spaces based on improved RRT* algorithm. [PDF]

Sci Rep
Fu S, Lin C, Yao Z, Lin T, Chen Q.
europepmc   +1 more source

Contact Force Estimation of Continuum Robots without Embedded Sensors: A Review

Advanced Intelligent Systems, EarlyView.
This review surveys methods for estimating contact forces in continuum robots without embedded sensors. It explains why contact force matters, classifies force patterns, and groups existing methods into three approaches based on actuation, deformation, and environment information.
An Hu, Yu Sun
wiley   +1 more source

The microbial community metabolic regime adapts to hydraulic disturbance in river-lake systems with high-frequency regulation. [PDF]

Environ Microbiome
Ding J, Yang W, Li X, Liu X, Zhao J, Sun T, Liu H.   +6 more
europepmc   +1 more source

Current‐Limiting Control Strategies in Variable Capacitance Electrostatic Energy Harvesters

Advanced Intelligent Systems, EarlyView.
This work introduces control strategies for electrostatic energy harvesters that balance energy yield with current limitations. Two approaches are explored: traditional peak‐triggered controls, and newly developed quadrature controls, which use smooth voltage profiles.
Alireza Jalaliankhakshour, Gianluca Rizzello, Antonello Cherubini, Marco Fontana, Giacomo Moretti   +4 more
wiley   +1 more source

Application and Improvement of Ultradeep Fractured Reservoir Effective Stimulation Reservoir Volume Technology. [PDF]

ACS Omega
Zhang Z, Hou B, Weng D, Cai B, Yang Z, Zhao J.   +5 more
europepmc   +1 more source

REWW‐ARM—Remote Wire‐Driven Mobile Robot: Design, Control, and Experimental Validation

Advanced Intelligent Systems, EarlyView.
The Remote Wire‐Driven robot “REWW‐ARM” demonstrates a new concept of remote actuation that separates electronics from harsh environments while retaining closed‐loop control. Combining tendon‐sheath mechanisms with decoupled joints, it achieves efficient power transmission and autonomous locomotion, manipulation, and underwater operation, suggesting ...
Takahiro Hattori, Kento Kawaharazuka, Temma Suzuki, Keita Yoneda, Kei Okada   +4 more
wiley   +1 more source

Hydraulic support pressure prediction via deep learning with multilevel temporal feature integration. [PDF]

Sci Rep
Yu Q, Sun C, Yang Y, Yang P.
europepmc   +1 more source