Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
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
Phylogenetic Inference from Atomized 3D Morphometric Data: A Case Study using Kangaroos. [PDF]
Celik MA +4 more
europepmc +1 more source
Durability of Soft Pneumatic Actuators: A Review and Benchmarking Protocol
Lack of durability is a key challenge hindering the broad scale adoption of soft pneumatic actuators (SPAs) in automation industries. This review provides a comprehensive overview of existing research on SPA durability, introduces a standardized durability benchmarking protocol to consolidate the testing of SPAs, and outlines promising directions for ...
Dickson Chiu Yu Wong +2 more
wiley +1 more source
Influence of image preprocessing on reproducibility and longitudinal repeatability analysis of radiomics features in magnetic resonance image-guided accelerator imaging. [PDF]
Yu H +7 more
europepmc +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
3D‐Printing Aided Rapid Prototyping of Pretensioned Tensegrity Structures for Robotic Applications
Printing, injection molding, and assembly (PMA) is a method for rapid prototyping mesoscale, topologically complex, and tensioned tensegrity structures. In combination with PMA method, two mold design strategies: modular mold and compact channel layout, enable efficiency and scalability for tensegrity fabrication.
Yi Sun +3 more
wiley +1 more source
Parametric Optimization of VLM Panel Discretization Using Bio-Inspired Crayfish and Aquila Algorithms Coupled with Hybrid RSM-Based Ensemble Machine Learning Surrogate Models: A Case Study. [PDF]
Eraslan Y, Şengün E.
europepmc +1 more source
WorMa is an amphibious undulatory robot that uses Center of Mass redistribution as the sole terrain adaptation mechanism. This mechanism is based on internal fluid mass redistribution through a pump‐driven latex balloon system that creates three profiles: head‐biased, balanced, and tail‐biased.
Daniil Filimonov, Nana Obayashi
wiley +1 more source
Graph-theoretic active learning for the closed-loop discovery of stochastic heterogeneous composites. [PDF]
Qiu L, Zhang S, Yang Y, Wang M.
europepmc +1 more source
Discretization for naive-Bayes learning: managing discretization bias and variance
Quantitative attributes are usually discretized in naive-Bayes learning. We prove a theorem that explains why discretization can be effective for naive-Bayes learning.
Geoffrey I. Webb, Ying Yang
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