ActionX: pre-training action experts with reinforcement learning for vision-language action models [0.03%]
基于强化学习的视觉语言动作模型的预训练方法entialActionX：用强化学习预训练视觉语言行动模型以生成动作专家
Tinghao Yi,Quantao Yang,Enhong Chen
Tinghao Yi
Vision-Language Action (VLA) models have enabled language-driven robotic manipulation by integrating language instructions, visual perception, and action generation. However, existing VLA approaches heavily rely on large-scale human demonst...
Jordi Timmermans,Lambert Schomaker
Jordi Timmermans
The biological sensorimotor system is a source of inspiration for the design of neuromorphic ballistic control systems. A large portion of sensorimotor-inspired research focuses on the sensory encoding and information processing stages of t...
Multimodal human action recognition and personalized sports health promotion: a deep learning framework integrating wearable sensor fusion [0.03%]
融合可穿戴传感器的多模态人类动作识别与个性化运动健康促进：一种深度学习框架
Ying Xi,Taibin Huang,Zhiyu Yang
Ying Xi
Introduction: In real-world sports scenarios, Human Action Recognition (HAR) is often hindered by data complexity, limited dynamic adaptability, and fragmented integration of physiological and kinematic information. To ad...
Correction: Enhancing 3D semantic scene completion with refinement module [0.03%]
纠正：利用精炼模块增强三维语义场景补全
Frontiers Production Office
Frontiers Production Office
[This corrects the article DOI: 10.3389/fnbot.2026.1768219.]. Keywords: PNAM; plug-and-play; refinement; sem...
Published Erratum
Frontiers in neurorobotics. 2026 Apr 7:20:1838975. DOI:10.3389/fnbot.2026.1838975 2026
Correction: Neurorobotics for automotive manufacturing industry in era of embodied intelligence: a mini review [0.03%]
纠错：身临其境的智能时代的汽车制造业神经机器人学：一堂迷你复习课
Bangcheng Zhang,Qi Xia
Bangcheng Zhang
[This corrects the article DOI: 10.3389/fnbot.2026.1796043.]. Keywords: automotive manufacturing; embodied i...
Published Erratum
Frontiers in neurorobotics. 2026 Apr 2:20:1829525. DOI:10.3389/fnbot.2026.1829525 2026
Constructing three-way classifier with interval granulation neighborhood rough sets based on uncertainty invariance [0.03%]
基于不确定不变性的区间粒化邻域粗糙集三支分类器构造方法
Yongqi Wang,Taihua Xu,Rong Huang et al.
Yongqi Wang et al.
Three-way decision with neighborhood rough sets (3WDNRS) is effective in handling uncertain problems involving continuous data through the adjustment of the neighborhood radius. However, it faces two main limitations. Firstly, 3WDNRS relies...
Robust federated learning for UAV object detection: a joint self-distillation and drift compensation approach [0.03%]
一种联合自蒸馏和漂移补偿的无人机目标检测鲁棒联邦学习方法
Yu Hangsun,Changnan Jiang,Ziyuan Zhang et al.
Yu Hangsun et al.
The rapid advancement of unmanned aerial vehicles (UAVs) in disaster response and environmental monitoring has underscored the growing importance of real-time object detection within UAV swarm networks. However, the non-independent and iden...
Dunxing Zhang,Jiachen Lu,Han Yang et al.
Dunxing Zhang et al.
We propose ESSC-RM, a plug-and-play Enhancing framework for Semantic Scene Completion with a Refinement Module, which can be seamlessly integrated into existing semantic scene completion (SSC) models. ESSC-RM operates in two phases: a basel...
A brain-inspired ISMO-PNN framework for neurally-grounded bearing fault diagnosis [0.03%]
一种灵感来自大脑的ISMO-PNN框架，用于神经基础轴承故障诊断
Fan Zhang,Bangcheng Zhang
Fan Zhang
Introduction: In advanced robot systems, monitoring the health of key components such as bearings in the transmission system is crucial for achieving reliable autonomous operation. However, there are still challenges in a...
Xianmin Wang,Jing Li
Xianmin Wang