Results 151 to 160 of about 1,102 (261)
Influence of Design Parameters of Membrane-Type Flow Controller on Bearing Characteristics of Hydrostatic Guideways. [PDF]
Chen Y, Xu X, Lin Z, Li M, Bi G, Wang Z.
europepmc +1 more source
Self‐Sensing Artificial‐Muscle‐Empowered Humanlike Perception, Interaction, and Positioning
The proposed self‐sensorized artificial muscle (SSAM) can sense its length change as small as 0.01 mm via a seamlessly integrated multi‐segment induction coil. The SSAM provides accurate length information regardless of its loadings, driving pressure, or muscle design, adequate for robust data‐driven feedback control.
Houping Wu +6 more
wiley +1 more source
Experimental assessment of using phase change materials in vapor compression refrigeration systems for condenser pre-cooling. [PDF]
Riahi A, Shafii MB.
europepmc +1 more source
Existing soft pumps often require tradeoffs between performance and compatibility with soft robotic systems. The proposed trielectrode electrostatic soft pump addresses these limitations through an innovative driving mechanism. Its design, which includes a trielectrode configuration and the use of compliant materials, improves operational efficiency ...
Yangqiao Lin +10 more
wiley +1 more source
Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods. [PDF]
Arweiler J +7 more
europepmc +1 more source
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang +4 more
wiley +1 more source
The influence of hydraulic hose length on dynamic pressure waveforms including wave phenomena. [PDF]
Stosiak M, Bury P, Karpenko M.
europepmc +1 more source
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Multi-objective optimization design of low-power-driven, large-flux, and fast-response three-stage valve. [PDF]
Ma A, Xiao H, Hao Y, Yan X, Zhao S.
europepmc +1 more source

