Results 41 to 50 of about 5,232 (309)
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
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
Quantitative research methods and study quality in learner corpus research
AbstractThis study aims to provide the first empirical assessment of quantitative research methods and study quality in learner corpus research. We systematically review quantitative primary studies referenced in theLearner Corpus Bibliography(LCB), a representative bibliography of learner corpus research maintained by theLearner Corpus ...
Paquot, Magali, Plonsky, Luke
openaire +2 more sources
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
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
Korpusová analýza jazykové přesnosti v písemném projevu studentů angličtiny jako cizího jazyka. / A corpus-based analysis of EFL learners’ accuracy in writing. [PDF]
This study presents a part of results of a research project from the field of foreign language learning and teaching, in which an analysis of a learner corpus was carried out.
František Tůma
doaj
ABSTRACT Diabetes mellitus‐induced erectile dysfunction (DMED) is a highly prevalent complication among diabetic patients; however, its underlying pathogenic mechanisms remain incompletely understood. Metabolic disorder is a hallmark of diabetes, yet its precise contribution to DMED progression is not well defined.
Wanyang Guo +14 more
wiley +1 more source
Annotating and Analyzing Learner Production with UAM Corpus Tool
The increasing integration of learner corpora into Second Language Acquisition (SLA) research has created the need for annotation tools that support systematic, transparent, and multi-layer analyses of learner production.
Aída García-Tejada, Teresa Quesada
doaj +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Corpora for Linguists vs. Corpora for Learners
This paper aims to shed light on how research findings stemming from Learner Corpus Research (LCR) can inform the development of Data-driven learning (DDL) pedagogical activities. By doing this, it seeks to show how the gap between corpora built to be
Forti, Luciana, Spina, Stefania
doaj +1 more source
Questionner des corpus pour questionner la langue. L’exemple des virgules en allemand
The concept of the learner as a researcher assigns the learner features of a linguist striving to understand the functioning of language. This concept, often mentioned within the context of corpus use for foreign language learning and teaching, implies ...
Eva Schaeffer-Lacroix
doaj +1 more source

