1663 papers
This paper presents the development and control of a novel S-HASEL actuator, featuring an octopus-inspired geometry, gold-coated electrodes for high-precision self-sensing, and a PWM-based drive system, to create a compact, soft robotic solution for image-guided needle biopsy procedures.
This paper proposes a 3-D active vision-based methodology that fuses saliency features for laser stripe segmentation, employs a gray-gravity algorithm for center extraction, and utilizes least squares fitting to automatically extract welding trajectories for reflective V-groove welds with high accuracy despite reflection interference.
This paper proposes a novel ZA-MP-HL-LMS adaptive filter that utilizes a modified Pseudo-Huber loss function to enhance sparsity promotion and stability in sparse system identification, supported by comprehensive theoretical convergence analysis and demonstrated superior performance over state-of-the-art methods through simulations.
This paper proposes an enhanced Synthetic Aperture Focusing Technique (SAFT) ultrasound imaging method that accurately reconstructs the propagation path and calibrates echo amplitudes to significantly improve the localization and quantification accuracy of internal void defects in multi-layer grout sleeves for prefabricated buildings.
This study presents a controlled, reproducible infrared thermography dataset comprising 628 images of electrical cables across four distinct thermal states and three geometric configurations, designed to support quantitative nondestructive evaluation by capturing both equilibrium and transitional thermal regimes for improved anomaly detection and state discrimination.
This paper presents a data-driven self-calibration framework for industrial robots that accurately compensates for force/torque sensor biases caused by unknown tool attachments under both quasi-static and dynamic conditions using regression and machine learning models, thereby enabling reliable force perception without requiring prior tool property knowledge or hardware modifications.
This study demonstrates that electrohydrodynamic drying of yellow carrots at 34 kV significantly enhances drying rates and product quality compared to ambient-air drying, a finding supported by multiphysics simulations that elucidate the mechanism of voltage-driven ionic wind and moisture migration.
This paper proposes a hybrid prediction model integrating empirical models (Weibull and modified Poisson) with intelligent algorithms (EMD and LS-SVM) to accurately characterize the "S-shaped" settlement evolution and predict the full-process settlement of long-short pile composite foundations, as validated by the Seoul Park project.
This paper presents a reciprocating-disc-type magnetorheological finishing (RDMRF) system equipped with a magnetically actuated recovery loop and an optimized polishing fluid, which successfully stabilizes the material removal rate to under 8% drift over 180 minutes and achieves ultra-smooth surface roughness by addressing the limitations of conventional disc-type configurations regarding linear speed variation and fluid evaporation.
This paper presents a physically interpretable, low-order linear model for a moored wave energy converter by applying Dynamic Mode Decomposition with control (DMDc) to experimental data, successfully capturing hydrodynamic memory and identifying distinct physical mechanisms while revealing the quantitative signature of catenary mooring nonlinearity through a divergence between time-domain and spectral performance metrics.