From Rigid to Soft Robotic Approaches for Neuroendoscopy
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday +3 more
wiley +1 more source
Zero-shot incremental learning using spatial-frequency feature representations. [PDF]
Ren J, Zhao Y, Zhang W, Sun C.
europepmc +1 more source
Intelligent Diagnosis Method for New Diseases Based on Fuzzy SVM Incremental Learning. [PDF]
Song-Men S.
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Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source
Parameter-Free Statistical Generator-Based Class Incremental Learning for Multi-User Physical Layer Authentication in the Industrial Internet of Things. [PDF]
Zhao W, Guo Y, Huang Y, Chen Y, Chen L.
europepmc +1 more source
Incremental learning of LSTM framework for sensor fusion in attitude estimation. [PDF]
Narkhede P +3 more
europepmc +1 more source
A multimaterial robotic gripper fabricated via multimaterial 3D printing integrates conductive thermopolymer joints with flexible elastomeric components. Joule heating enables precise joint‐level stiffness modulation, enhanced by embedded temperature sensors, passive shape restoration, and active cooling, enabling versatile manipulation capabilities ...
Daniel Jee Seng Goh +4 more
wiley +1 more source
An enhanced Transformer framework with incremental learning for online stock price prediction. [PDF]
Qian Y.
europepmc +1 more source
Semi-supervised incremental learning with few examples for discovering medical association rules. [PDF]
Sánchez-de-Madariaga R +3 more
europepmc +1 more source

