Results 131 to 140 of about 47,177 (295)
Semantic gap reduction for microprocessor systems
, 1986 Typescript (photocopy).The objective of this dissertation is to design an instruction set that will reduce the semantic gap (the difference between the concepts in HLPL's-- high level programming languages-- and the architecture of a computer system ...
Aletan, Samuel Olubode Olubusola
core
, 2012 —It is generally believed to be a tedious, time-consuming, and error-prone process to develop a virtual ma-chine introspection (VMI) tool manually because of the semantic gap. Recent advances in Virtuoso show that we can largely nar-row the semantic gap.
Zhiqiang Lin, Yangchun Fu
core +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Transparently bridging semantic gap in CPU management for virtualized environments
, 2011 Consolidated environments are progressively accommodating diverse and unpredictable workloads in conjunction with virtual desktop infrastructure and cloud computing. Unpredictable workloads, however, aggravate the semantic gap between the virtual machine
Lee, Joon-Won +5 more
core
Advanced Robotics Research, EarlyView.DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
Customer-to-Manufacturer (C2M) is a strategy in smart manufacturing where customers collaborate with manufacturers for customized product development on an online platform.
Wang, Yue +3 more
core +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
Advanced Robotics Research, EarlyView.This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
Bridging the Semantic Gap in Computational Color Design: A Neurocognitively Validated Framework
IEEE AccessAgainst the backdrop of the AIGC wave reshaping the creative design landscape, color design is rapidly transitioning from intuition-driven to data-intelligence.
Lin Li, Xinxiong Liu, Yali Wang
doaj +1 more source