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
Latent class modeling of repetitive transcranial magnetic stimulation response trajectories in treatment-resistant depression. [PDF]
Weissman CR +7 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
Spectral Clustering with Likelihood Refinement for High-Dimensional Latent Class Recovery. [PDF]
Lyu Z, Gu Y.
europepmc +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
Lifestyle Subgroups and its Relationship with the Incidence of Hypertension in the Population of Azar Cohort: A Latent Class Analysis. [PDF]
Naghizadeh S +4 more
europepmc +1 more source
Patterns of Children With Complex Chronic Conditions: A Latent Class Analysis. [PDF]
Cohen E +11 more
europepmc +1 more source
Correction to "Resilience and Flexibility for Clinical Nurses: A Latent Class Analysis". [PDF]
europepmc +1 more source
Latent Cardiometabolic Phenotypes and Their Sociodemographic Correlates Among US Adults: A Cross-Sectional Latent Class Analysis Using NHANES (2011-2018) Data. [PDF]
Unnikrishnan G, Singh A, Harijith KR.
europepmc +1 more source

