Results 71 to 80 of about 9,656 (253)
During lengthy minimally invasive surgeries, fatigue can cause surgeon tremor and poor endoscopic coordination. This study proposes a robot‐assisted endoscopic adjustment system. It employs a lightweight instrument detection model and a hierarchical multiconstraint controller for visual servoing.
Zijie Yang +5 more
wiley +1 more source
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 +10 more
wiley +1 more source
: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu +9 more
wiley +1 more source
Slip‐Adaptive Neural Control of Gecko‐Inspired Adhesive Robots
This study introduces a neural adhesion controller to improve the stability of gecko‐inspired climbing robots. By integrating an echo state network and a multilayer perceptron, the system utilizes joint torque feedback to accurately estimate adhesion in both normal and shear directions and predict slips. This enables effective recovery from slip events,
Donghao Shao +3 more
wiley +1 more source
TacEva: A Performance Evaluation Framework for Vision‐Based Tactile Sensors
This work introduces TacEva, a unified framework for evaluating vision‐based tactile sensors. It standardizes intrinsic, performance, and robustness metrics through shared experimental procedures and links them to task‐level requirements in robotic manipulation.
Qingzheng Cong +5 more
wiley +1 more source
Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera +2 more
wiley +1 more source
Voltage stability assessment of grid connected PV systems with FACTS devices. [PDF]
Abdullah MK, Hassan LH, Moghavvemi M.
europepmc +1 more source
Abstract Premise The defining life history strategy of spring ephemeral wildflowers is their avoidance of shading by trees during the brief, high‐light period before canopy leaf out. Studies suggest that spring ephemerals will experience increased light competition because canopy leaf out is more sensitive to warming than is the phenology of spring ...
Melina Schopler +6 more
wiley +1 more source
Advances in Regulating Strategies and Applications of Ferroelectric Materials
To meet the demand for precise control of performance in nanoelectronic devices, this paper systematically reviews the latest advances in controlling ferroelectric properties through strategies such as external field modulation, low‐dimensional confinement, interface engineering, and topological structure design.
Jianying Ji, Cong Liu, Dan Luo, Zhou Li
wiley +1 more source
Abstract Improving retention and graduate outcomes for students from a widening participation (WP) background is key to achieving more equitable outcomes. However, evidence suggests WP students experienced different challenges than their peers during the COVID‐19 pandemic.
Wilhelmiina Toivo +4 more
wiley +1 more source

