Results 151 to 160 of about 190,435 (331)

IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi   +7 more
wiley   +1 more source

Anchoring Morphological Representations Unlocks Latent Proprioception in Soft Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
The authors present ProSoRo, a proprioceptive soft robot that anchors morphological states to a single internal reference frame and employs a multimodal variational autoencoder for crossmodal inference, revealing latent proprioception that enables accurate force and shape estimation, interpretable morphing primitives, robust sim‐to‐real transfer, and ...
Xudong Han   +4 more
wiley   +1 more source

BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan   +7 more
wiley   +1 more source

From Origami to Bistable and Laminate Structures: A Review for Multifunctional Applications from Structural Perspective of Shape‐Changing Structures

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores how shape‐changing structures—origami, bistable, and laminate structures—enable multifunctionality in soft robotics and metamaterials. Starting from structural design, it examines core principles, real‐world applications, and ongoing challenges.
Lingchen Kong, Yaoyao Fiona Zhao
wiley   +1 more source

Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial‐Ground Robotic System

open access: yesAdvanced Intelligent Systems, EarlyView.
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu   +6 more
wiley   +1 more source

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