Spatiotemporal prediction of sneeze pollutants in enclosed spaces: a CNN-LSTM approach validated by field measurements and CFD-Robotics arm twin system [0.03%]
封闭空间内打喷嚏污染物的时空预测：一种基于CNN-LSTM的方法及其与现场测量和CFD-机械臂双胞胎系统的验证结果
Mingyu Zhao,Shujia Zhang,Ke Li et al.
Mingyu Zhao et al.
Densely populated enclosed environments, characterized by complex thermal stratification and overlapping breathing zones, represent high-risk clusters for the airborne transmission of respiratory pathogens. To address the dual challenges of...
Advancing a taxonomy of proxemics for socially aware robot navigation [0.03%]
用于社交感知机器人导航的个人空间分类学的发展
Ehud Nahum,Yael Edan,Tal Oron-Gilad
Ehud Nahum
Socially aware robot navigation requires robots to move among people in ways that respect human social norms, comfort, and perceived safety. Proxemics, the regulation of interpersonal space, plays a central role in this process. Applied HRI...
Nathan L Butler,Geoffrey A Hollinger,Xi Yu et al.
Nathan L Butler et al.
Multi-robot coordination under communication constraints is a fundamental challenge in autonomous systems, particularly in underwater environments, where low-bandwidth acoustic links restrict centralized planning and limit decentralized inf...
Correction: ROS 4 healthcare: a framework for physiological human sensing for social, assistive, rehabilitation, and medical robotics [0.03%]
关于ROS 4医疗的更正：用于社会辅助康复和医学机器人的生理人体感知框架
Ricardo Javier Manríquez-Cisterna,Pranjal Mishra,Jorge Peña-Queralta et al.
Ricardo Javier Manríquez-Cisterna et al.
[This corrects the article DOI: 10.3389/frobt.2026.1745197.]. Keywords: biosignals; healthcare robotics; hum...
Published Erratum
Frontiers in robotics and AI. 2026 May 18:13:1854816. DOI:10.3389/frobt.2026.1854816 2026
Fast adaptation of physics-informed hybrid models for pneumatic artificial muscles [0.03%]
基于物理信息的混合模型在气动肌肉中的快速适应性研究
Genmeng Wang,Remi Chalard,Jenny Cifuentes et al.
Genmeng Wang et al.
Recent advances in foundation models and physics-informed neural networks have demonstrated remarkable generalization and adaptation capabilities across diverse domains. Inspired by these properties, we investigate the adaptation potential ...
Exploring child engagement in a multi-robot tutor-peer learning scenario [0.03%]
多机器人导师权威学习场景中儿童参与度探究
Luca Raggioli,Rahul Singh Maharjan,Joanna Kolak et al.
Luca Raggioli et al.
Introduction: The use of social robots in education has increasingly focused on how different role framings, such as tutor, peer, or novice, shape children's engagement and learning. However, most studies employ a single ...
Editorial: AI and robotics for increasing disaster resilience in modern societies [0.03%]
社论：人工智能和机器人技术在增强现代社会灾害抵御能力方面的应用
Jane Jean Kiam,Anastasios Dimou,Ron Alford et al.
Jane Jean Kiam et al.
Retraction: Towards robot-assisted therapy for children with autism-the ontological knowledge models and reinforcement learning-based algorithms [0.03%]
撤稿：面向自闭症儿童的机器人辅助治疗-本体知识模型和基于增强学习的算法
Frontiers Editorial Office
Frontiers Editorial Office
[This retracts the article DOI: 10.3389/frobt.2022.713964.]. Copyright © 2026 Frontiers Editorial Office.
SANE (eaSy gAit aNalysis systEm): real-time dual-depth, marker-less system characterisation and robustness of gait parameters [0.03%]
一种实时、无标记的步态参数分析方法及系统（简称SANE）
Daniele Cafolla,Betsy D M Chaparro-Rico
Daniele Cafolla
Gait analysis is essential in clinical evaluation, biomechanics, and rehabilitation, yet conventional approaches often rely on complex marker-based systems that limit accessibility and real-time feedback. The SANE (eaSy gAit aNalysis systEm...
Morphological symmetry-aware generalized policy network for deep reinforcement learning [0.03%]
基于形态对称性的广义策略网络的深度强化学习
Ryo Hakoda,Yubin Liu,Matthew Hwang et al.
Ryo Hakoda et al.
Exploiting the morphological symmetry of robotic systems, such as humanoid and quadruped robots, is a promising direction for improving robot learning. In deep reinforcement learning (DRL) for robot control, prior studies have leveraged suc...