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 +2 more
wiley +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
A Novel Information Retrieval Model for High-Throughput Molecular Medicine Modalities
Cancer Informatics, 2009 Significant research has been devoted to predicting diagnosis, prognosis, and response to treatment using high- throughput assays. Rapid translation into clinical results hinges upon efficient access to up-to-date and high-quality molecular medicine ...
Constantin F. Aliferis +5 more
doaj
One Hidden Semantic Model Based on Intergroup Effects for E-Commerce. [PDF]
Comput Intell Neurosci, 2022 Li Y, Zhang W.
europepmc +1 more source
Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction
Advanced Robotics Research, EarlyView.Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith +4 more
wiley +1 more source
A Real-Time Web of Things Framework with Customizable Openness Considering Legacy Devices
Sensors, 2016 With the development of the Internet of Things (IoT), resources and applications based on it have emerged on a large scale. However, most efforts are “silo” solutions where devices and applications are tightly coupled.
Shuai Zhao, Le Yu, Bo Cheng
doaj +1 more source
Hybrid optimization and ontology-based semantic model for efficient text-based information retrieval. [PDF]
J Supercomput, 2023 Kumar R, Sharma SC.
europepmc +1 more source
Advanced Robotics Research, EarlyView.DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
Semantic priming, schizophrenia and the ketamine model of psychosis [PDF]
, 2009 The central aim of the studies presented in my thesis was to investigate the modulation of semantic memory function and its neural correlates in relation to schizophrenia.
Stefanovic, A.
core
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 +3 more
wiley +1 more source