Results 191 to 200 of about 1,012,974 (297)

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, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Evaluating Delivery of Trauma-Informed Care in the Trauma Bay.

JAMA Surg
Isenberg EE, Olivo R, Succar B, Perkins L, Berndtson AE, Frazee M, Appelbaum RD, Maiga A, Loss L, Meyers E, Cook M, VanDerWal JA, Holena DN, Lombana G, Berry S, Dultz L, Dumas RP.   +16 more
europepmc   +1 more source

Perceived reporting-system function, reporting barriers, and formal near-miss reporting among operating room nurses in China: a cross-sectional study. [PDF]

Front Med (Lausanne)
Li P, Zhang L, Cao Q, Tan X, Fan Y, Hu H.   +5 more
europepmc   +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

Evaluation of A Modified Persian Version of the Developmental Eye Movement Test in Children. [PDF]

J Ophthalmic Vis Res
Osroosh E, Rahmani S, Jafarzadehpour E, Kangari H, Talebnejad MR, Baghban ARA, Hoseinmenni S.   +6 more
europepmc   +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, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Use of the Spanish Version of the Physiotherapy Evidence Database (PEDro) Scale: A Meta-Research Study of Systematic Reviews. [PDF]

Physiother Res Int
Gómez-Conesa A, García-Moreno JM, Calvo-Muñoz I, Suarez-Serrano CM, López-López JA.   +4 more
europepmc   +1 more source

Robotic Assistants in the Operating Room: A Systematic Review of Vision‐Based Systems for Nonoperative Tasks

Advanced Robotics Research, EarlyView.
This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo, Pietro Falco, Nicholas Raison, Christos Bergeles, Letizia Gionfrida   +4 more
wiley   +1 more source

Consensus Formation and Change are Enhanced by Neutrality

Advanced Science, EarlyView.
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag, Janina A. Hoffmann, Tim Rogers, Christian A. Yates   +3 more
wiley   +1 more source