Results 221 to 230 of about 481,793 (353)

Numerical Modeling of Photothermal Self‐Excited Composite Oscillators

open access: yesAdvanced Robotics Research, EarlyView.
We present a numerical framework for simulating photothermal self‐excited oscillations. The driving mechanism is elucidated by highlighting the roles of inertia and overshoot, as well as the phase lag between the thermal moment and the oscillation angle, which together construct the feedback loop between the system state and the environmental stimulus.
Zixiao Liu   +6 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced 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

Integrating computational fluid dynamics and artificial intelligence for predicting in-flight thermo-kinetic properties in cold spray

open access: green
Roberta Falco   +6 more
openalex   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

open access: yesAdvanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

CoMind R1: a time-resolved interferometric optical neuromonitoring system for pulsatile cerebral blood flow measurement at late times-of-flight. [PDF]

open access: yesNeurophotonics
Parfentyeva V   +32 more
europepmc   +1 more source

Machine‐Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles

open access: yesAdvanced Science, EarlyView.
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang   +7 more
wiley   +1 more source

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