Google Translate Voice App vs. Qualified Interpreters: An Exploratory Study of Clinical Accuracy in Real-World Speech/Voice Encounters. [PDF]
Feinberg I +3 more
europepmc +1 more source
Graphical abstract illustrating the fabrication of Ni–P–O–C porous carbon microlattice electrodes by DLP printing of Ni/P precursor‐containing resin followed by high‐temperature carbonization. The resulting conductive microlattice acts directly as the HER cathode in alkaline electrolyte, where in situ formed Ni–P–O–C interfaces provide active sites for
Muzahir Ali +6 more
wiley +1 more source
The impact of political ideologies on cultural erosion: Indigenous education policy in Brazil (2009-2022). [PDF]
Gonçalves AC +4 more
europepmc +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Bridging the Gap: Translated Medical Education to Support Cystic Fibrosis Centers From Non-English Speaking Countries. [PDF]
Smith C +14 more
europepmc +1 more source
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
The Tinnitus and Hearing Survey-Hebrew and Arabic Translation and Adaptation. [PDF]
Stern Shavit S +4 more
europepmc +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
Digital mental health apps for young people in Europe: A systematic cross-country analysis. [PDF]
Madrid Cagigal A +11 more
europepmc +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
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

