Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
Advanced Robotics Research, EarlyView.A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
Bridging Chemical Literature and Molecular Graphs: LLM-Augmented Enantioselectivity Prediction for Iridium-Catalyzed Asymmetric C-H Borylation. [PDF]
Adv Sci (Weinh)A machine‐learning framework for asymmetric C–H borylation bridges multi‐entity 3D molecular graphs and chemical literature. Atom‐resolved mechanistic annotations extracted by large language models augment three‐component graph encoding of catalyst, substrate, and product. The model predicts enantioselectivity with high accuracy on unseen scaffolds and
Wang Z, Zhang B, Yang YI, Yao Y, Li Y.
europepmc +2 more sources
Multilevel Embedding and Dropout for Improved 3D Object Detection in Autonomous Driving Systems
Advanced Robotics Research, EarlyView.A plug‐in framework for RoI‐based 3D object detectors exploits previously untapped multi‐level information within RoI features. Its novel multi‐level embedding and dropout strategy enables the detection head to generate predictions at different feature levels.
Xiaohu Lu, Hayder Radha
wiley +1 more source
Indochina 1:50,000 [cartographic material] /
, 1960 Ed. 3-AMS. Map series of Cambodia showing roads, state and provincial boundaries, buildings, communications, religious sites, bridges, ground and water features, vegetation and cultivation.
United States. Army Map Service.
core
Hierarchical Semantic Mapping Using Convolutional Neural Networks for Intelligent Service Robotics
IEEE Access, 2018 The introduction of service robots in the public domain has introduced a paradigm shift in how robots are interacting with people, where robots must learn to autonomously interact with the untrained public instead of being directed by trained personnel ...
Ren C. Luo, Michael Chiou
doaj +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 +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
Natural hazards map of the Circum-Pacific Region [cartographic material] : Pacific Basin sheet /
, 1992 Map modified 1992.; Depths shown by isolines.; "This map is a contribution to the International Decade for Natural Disaster Reduction (IDNDR)."; Accompanied by: Explanatory notes for the Natural hazards map of the Circum-Pacific region Pacific Basin ...
Circum-Pacific Map Project.
core
Layer Assignment for Long-Term LiDAR Map Maintenance Using Geometric and Semantic Evidence
Remote SensingLong-term LiDAR maps support urban remote sensing, infrastructure inventories, change analysis, digital twins, and map-based localization. Most map-cleaning pipelines, however, output a single retained map, forcing transient observed-dynamic artifacts ...
Xi Chen, Bingyu Sun
doaj +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