This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Open-closed single-tube on-beam tuning-fork-enhanced fiber-optic photoacoustic spectroscopy. [PDF]
Pan Y, Fu L, Zhang J, Lu P.
europepmc +1 more source
Tuning Fork (mounted); A two pronged (two tined) instrument of highly tempered metal, adjusted so as to generate sound waves of constant frequency.
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Stiffness‐Programmable Origami Robots With Tendon‐Driven Actuation via Multimaterial 3D Printing
Motion diversity is achieved in a tendon‐driven origami robot through programmable stiffness rather than modified actuation. Multimaterial 3D printing embeds soft creases, modular inserts redirect identical tendon inputs into distinct behaviors, and variable‐stiffness inserts enable real‐time switching.
Elisha Lerner, Jianguo Zhao
wiley +1 more source
Robust and compact light-induced thermoelastic sensor for atmospheric methane detection based on a vacuum-sealed subminiature tuning fork. [PDF]
Shang Z +9 more
europepmc +1 more source
Ppb-level gas detection using on-beam quartz-enhanced photoacoustic spectroscopy based on a 28 kHz tuning fork. [PDF]
Lin H +12 more
europepmc +1 more source
A copper‐iron charge transfer instability drives concomitant electronic, magnetic, and isostructural phase transitions in ACu3Fe4O12${\rm ACu}_3{\rm Fe}_4{\rm O}_{12}$, with an inverse barocaloric effect. A minimal Landau theory ties these thermodynamic signatures together, revealing a pressure‐independent transition entropy with comparable charge and ...
Jefferson Delgado‐Quesada +1 more
wiley +1 more source
LITES-Based Sensitive CO<sub>2</sub> Detection Using 2 μm Diode Laser and Self-Designed 9.5 kHz Quartz Tuning Fork. [PDF]
Mu J, Hou J, Qiu S, Qiao S, He Y, Ma Y.
europepmc +1 more source
Passive Electrical Damping of a Quartz Tuning Fork as a Path to Fast Resonance Tracking in QEPAS. [PDF]
Rousseau R +4 more
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source

