Results 161 to 170 of about 2,877 (265)

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Research on Fast Time-Frequency Reconstruction Algorithm for Wideband Compressive Spectrum Sensing. [PDF]

Sensors (Basel)
Zhu R, Li C, Wu Y, Wu R, Zhang Z, Wang Z, Lu Y.   +6 more
europepmc   +1 more source

Proactive Robotic Grasp Stability via Tactile Safety Margin Feedback

Advanced Intelligent Systems, EarlyView.
We introduce the tactile safety margin (TSM), defined as the ratio between applied friction force (Ffric) and maximum friction (Fmax) derived from grip force. A bilayer E‐skin with decoupled temperature, strain, and pressure sensing enables real‐time grasp stability monitoring through measured TSM values, allowing robots to proactively adjust grip ...
Yebin Park, Jaehyun Kim, Taeyeong Kim, Woosung Cho, Junchen Luo, Myeongryun Seong, Chaeyong Park, Anna Lee, Seungmoon Choi, Insang You, Unyong Jeong   +10 more
wiley   +1 more source

High-throughput synaptic connectivity mapping using in vivo two-photon holographic optogenetics and compressive sensing. [PDF]

Nat Neurosci
Chen IW, Chan CY, Navarro P, de Sars V, Ronzitti E, Oweiss K, Tanese D, Emiliani V.   +7 more
europepmc   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

From pixels to camera: scaling superconducting nanowire single-photon detectors for imaging at the quantum-limit. [PDF]

Nano Converg
Gao J, Chang J, Lopez-Rodriguez B, Zadeh IE, Zwiller V, Elshaari AW.   +5 more
europepmc   +1 more source

Compressed Sensing MRI using Curvelet Sparsity and Nonlocal Total Variation: CS-NLTV

Electronic Imaging, 2017
Ali Pour Yazdanpanah, Emma E. Regentova
openaire   +1 more source

Robot‐Assisted Doppler Optical Coherence Tomography for Intraoperative Evaluation of Microvascular Anastomoses

Advanced Intelligent Systems, EarlyView.
This work presents a robot‐assisted Doppler optical coherence tomography system for autonomous, wide‐field intraoperative assessment of microvascular anastomoses. Machine‐vision–guided probe positioning and adaptive scan planning enable three‐dimensional structural and hemodynamic imaging over extended vessel segments.
Xiaochen Li, Yong Huang, Lu Liu, Danling Tong, Juyi Wang, Meng Li, Yujie Bai, Dedi Tong, Shan Zhu, Shanlin Chen, Qun Hao   +10 more
wiley   +1 more source

Compressive Wideband Spectrum Sensing Aided Intelligence Transmitter Design. [PDF]

Sensors (Basel)
Qin L, Chen Y, Zhong L, Zhao H.
europepmc   +1 more source

Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials

Advanced Intelligent Systems, EarlyView.
This study quantitatively assesses how universal machine‐learning interatomic potentials encode the chemical space into latent features, showing unique model‐specific representations with high cross‐model reconstruction errors. It explores how training datasets, protocols, and targets affect these encodings.
Sofiia Chorna, Davide Tisi, Cesare Malosso, Wei Bin How, Michele Ceriotti, Sanggyu Chong   +5 more
wiley   +1 more source