Results 171 to 180 of about 141,852 (259)

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
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, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Interpreting Services Bridge Language Gaps in Diabetic Retinopathy Care: A Retrospective Cohort Study. [PDF]

Clin Ophthalmol
Boyle R, Sy KA, Krachmalnick S, Riffel J, El-Geneidy M, Hogge J, Jeong JJ, Wick JA, Ajlan RS, Champion M.   +9 more
europepmc   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Bridging the governance gap in health artificial intelligence: integrating nursing perspectives into the National Academy of Medicine Artificial Intelligence Code of Conduct. [PDF]

J Am Med Inform Assoc
Cary MP, Russell RG, Silcox C, Lytle KS, Lehmann LS, Hightower M, Economou-Zavlanos N, Guilamo-Ramos V.   +7 more
europepmc   +1 more source

Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients

Advanced Robotics Research, EarlyView.
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni, Chapa Sirithunge, Yue Xie, Fumiya Iida, Thilina Dulantha Lalitharatne   +4 more
wiley   +1 more source

Exploring item comprehension and evaluation in the SELC scale: a qualitative pre-testing study. [PDF]

Scand J Prim Health Care
Rask M, Alenius S, Behm L, Nilsson M, Nilsson Lindström P.   +4 more
europepmc   +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, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Patient-reported outcomes and health-related quality of life in individuals living with, through, and beyond cancer in Sweden: a cross-sectional study. [PDF]

J Patient Rep Outcomes
Borg S, Rosell L, Garpenhag L, Calling S, Larsson AM.   +4 more
europepmc   +1 more source

Multiphoton‐Printed Microrobotic Arrays Powered by Discrete, Monolithically Integrated Hydrogel Actuators

Advanced Robotics Research, EarlyView.
Functional surfaces are investigated as a foundation for reconfigurable microscale systems with sensing and actuation capabilities. Advances in additive manufacturing enable our development of planar arrays of hybrid‐material, compliant microdevices that convert environmental stimuli into programmed motion and visual responses.
Sandra Edward, Eric Nieto Gonzalez, Michael Gallegos, Thomas Golecki, Bryan Kaehr, Holly M. Golecki   +5 more
wiley   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source