Ductility Tuning via Cluster Network Characteristics of Porous Components
Advanced Materials Technologies, EarlyView.Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba +4 more
wiley +1 more source
Active Compensation Fault-Tolerant Control for Uncertain Systems with Both Actuator and Sensor Faults. [PDF]
Sensors (Basel)Ling X, Xu H, Zhu F.
europepmc +1 more source
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Integration of Sense and Control for Uncertain Systems Based on Delayed Feedback Active Inference. [PDF]
Entropy (Basel)Ji M +5 more
europepmc +1 more source
Nanocrystal Quality–Controlled Scintillation in Porous YAG:Ce Aerogels
Advanced Optical Materials, EarlyView.High‐temperature thermal treatment of YAG:Ce nanoscintillator aerogels increases light yield under ionizing radiation by up to eightfold without affecting timing performance. Additionally, low‐temperature atmospheric treatments reversibly modify the cerium oxidation state, revealing strong defect sensitivity and offering new strategies to optimize ...
Pavlo Mai +11 more
wiley +1 more source
Robust model predictive control for polytopic uncertain systems via a high-rate network with the FlexRay protocol. [PDF]
PeerJ Comput SciWang J, Fan F, Yu Y, Du S, Guo X.
europepmc +1 more source
Advanced Robotics Research, EarlyView.A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa +10 more
wiley +1 more source
Multi-layer CNN-LSTM network with self-attention mechanism for robust estimation of nonlinear uncertain systems. [PDF]
Front NeurosciLiu L +5 more
europepmc +1 more source
From Rigid to Soft Robotic Approaches for Neuroendoscopy
Advanced Robotics Research, EarlyView.Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday +3 more
wiley +1 more source
Formation Control of Multi‐Agent System with Local Interaction and Artificial Potential Field
Advanced Robotics Research, EarlyView.This article proposes a local interaction‐based formation control method for Multi‐Agent system, integrating consensus and leader‐follower strategies with a stress response mechanism—artificial potential field to reduce communication overhead and enable obstacle avoidance. Experimental results on triangular, square, and hexagonal formations confirm its
Luoyin Zhao +3 more
wiley +1 more source