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
An energy-efficient Flash-SAR ADC with two-step flash structure in a 0.18 μm CMOS process. [PDF]
Xue S.
europepmc +1 more source
High-Precision Indoor VLP Scheme Based on the Synergy of SMO Multipath Suppression and Intelligent Algorithms. [PDF]
Yang Y, Zhang J, Liu S.
europepmc +1 more source
Study on Air Leakage Law and Coal Spontaneous Combustion Danger Area in Goaf of Ultra-Long Fully Mechanized Mining Faces with Large Mining Height. [PDF]
Yuan G +6 more
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Flexural Behavior of Reinforced Concrete Two-Way Slabs Strengthened with Basalt Fiber-Reinforced Polymer Grid and Engineered Cementitious Composite. [PDF]
Xue J, Zhu M, Liang H, Li H.
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Clinical feasibility of accelerated whole liver water T<sub>1</sub> mapping with T<sub>2</sub>*-compensation. [PDF]
Huaroc Moquillaza E +7 more
europepmc +1 more source
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