Results 71 to 80 of about 93,854 (214)

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

open access: yesAdvanced 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

Multilevel Embedding and Dropout for Improved 3D Object Detection in Autonomous Driving Systems

open access: yesAdvanced 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

Government informatization model design based on emotional polarity analysis of network media in the context of deep learning [PDF]

open access: yesPeerJ Computer Science
In response to the extensive and complex public comment data within the government system, this article presents an emotion analysis model for government information based on a dual attention multi-layer convolutional neural network (DA-MLCNN).
Jingyang Tang   +3 more
doaj   +2 more sources

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

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

open access: yesAdvanced Robotics Research, EarlyView.
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

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

open access: yesAdvanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou   +4 more
wiley   +1 more source

Fully differentiable Lagrangian convolutional neural network for physics-informed precipitation nowcasting

open access: yesApplied Computing and Geosciences
This paper presents a convolutional neural network model for precipitation nowcasting that combines data-driven learning with physics-informed domain knowledge.
Peter Pavlík   +3 more
doaj   +1 more source

Virtual Axle Detector Based on Analysis of Bridge Acceleration Measurements by Fully Convolutional Network. [PDF]

open access: yesSensors (Basel), 2022
Lorenzen SR   +6 more
europepmc   +1 more source

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