Results 171 to 180 of about 169,125 (319)
Computer-aided design of piezoelectric systems operating as machine assemblies or subassemblies. [PDF]
Harazin J, Wróbel A.
europepmc +1 more source
This work presents a lightweight Miura‐origami soft knee exoskeleton powered by vacuum actuation and integrated with a multimodal physiological intent‐recognition system, providing real‐time assistance during sit‐to‐stand movement to reduce muscle effort and improve user comfort.
Yuchuan Jia +5 more
wiley +1 more source
Attenuation Impact on Acoustic Emission Signal Parameters in Damage Mechanisms Characterization of Composite Rebars. [PDF]
Zielonka P +3 more
europepmc +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
A novel FIO-based hybrid piezoelectric-electromagnetic energy harvester coupled with tandem cylinders. [PDF]
Rashki M +2 more
europepmc +1 more source
Protecting three-dimensional entanglement from correlated amplitude damping channel [PDF]
Xiao Xing +3 more
openalex +1 more source
Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi +6 more
wiley +1 more source
Electrostatically actuated MEMS resonators for magnetic and electric field sensing: a review. [PDF]
Koh D, Jung Y, Kim J.
europepmc +1 more source
Shape memory alloy wires exhibit thermally induced phase changes that generate actuation strain and resistance variations enabling self‐sensing. However, hysteretic electromechanical behavior complicates accurate state estimation. This paper presents an artificial in‐based self‐sensing method to reconstruct SMA actuator position in real time, achieving
Krunal Koshiya +2 more
wiley +1 more source

