Results 211 to 220 of about 4,114,812 (330)
Metric Semantics and Full Abstractness for Action Refinement and Probabilistic Choice
J.I. den Hartog +2 more
openalex +1 more source
Robotic Needle Steering for Percutaneous Interventions: Sensing, Modeling, and Control
This review examines recent advances in robotic needle steering for percutaneous interventions, highlighting closed‐loop sensing, physics‐informed tissue‐needle interaction modeling, and real‐time trajectory planning and control. It synthesizes innovations in deep learning, fiber‐optic feedback, and adaptive control strategies, and outlines emerging ...
Fangjiao Zhao +5 more
wiley +1 more source
A philosophical defence of limited foreknowledge open theism. [PDF]
Ackermann M.
europepmc +1 more source
An Action Semantics Integrated Development Environment
Luís Menezes +5 more
openalex +1 more source
A large language model (LLM)‐powered multimodal robotic scrub nurse control framework is proposed for enhancing human–robot interaction. Inside, the vision module gives out instrument class, location, and occlusion relationship. Speech module captures and converts user's speech commands.
Wing Yin Ng +4 more
wiley +1 more source
Construction and application of a novel urban knowledge model with extended historical and cultural semantics. [PDF]
Wang C, Xu C, Wang Y, He J, Pan W, Xu X.
europepmc +1 more source
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley +1 more source
VLA-MP: A Vision-Language-Action Framework for Multimodal Perception and Physics-Constrained Action Generation in Autonomous Driving. [PDF]
Ge M +4 more
europepmc +1 more source
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

