Correction: Path planning of industrial robots based on the adaptive field cooperative sampling algorithm [0.03%]
基于自适应场协同采样算法的工业机器人路径规划修正研究
Yongbo Zhuang,Sha Luo,Qingdang Li et al.
Yongbo Zhuang et al.
[This corrects the article DOI: 10.3389/fnbot.2025.1574044.]. Keywords: AFCs; APF; RRT; industrial robot; pa...
Published Erratum
Frontiers in neurorobotics. 2025 Dec 18:19:1754834. DOI:10.3389/fnbot.2025.1754834 2025
IAP-TransUNet: integration of the attention mechanism and pyramid pooling for medical image segmentation [0.03%]
基于注意力机制和金字塔池化融合的医学图像分割方法
Yuxuan Shi,Fang Li,Shuting Zhao et al.
Yuxuan Shi et al.
Introduction: The combination of CNN and Transformer has attracted much attention for medical image segmentation due to its superior performance at present. However, the segmentation performance is affected by limitations...
A novel intelligent physiotherapy robot based on dynamic acupoint recognition method [0.03%]
一种基于动态穴位识别方法的新型智能理疗机器人
Yuhan Zhang,Shiyang Sun,Donghui Zhao et al.
Yuhan Zhang et al.
Background: Physiotherapy robots offer a feasible and promising solution for achieving safe and efficient treatment. Among these, acupoint recognition is the core component that ensures the precision of physiotherapy robo...
Nemanja Antonic,Aymeric Vellinger,Elio Tuci
Nemanja Antonic
C. elegans is a model organism in many biological domains, such as genetics, neurophysiology, and behavioral ecology. Despite our relatively deep knowledge of the neuronal, genetic and molecular mechanisms underlying C. elegans communicatio...
Path planning of industrial robots based on the adaptive field cooperative sampling algorithm [0.03%]
基于自适应场协作采样算法的工业机器人路径规划
Yongbo Zhuang,Sha Luo,Qingdang Li et al.
Yongbo Zhuang et al.
For the low efficiency and poor generalization ability of path planning algorithm of industrial robots, this work proposes an adaptive field co-sampling algorithm (AFCS). Firstly, the environment complexity function is proposed to make full...
Correction: RSA-TransUNet: a robust structure-adaptive TransUNet for enhanced road crack segmentation [0.03%]
改正：RSA-TransUNet：一种鲁棒的结构自适应TransUNet用于增强的道路裂缝分割
Liling Hou,Fei Yu,Yaowen Hu et al.
Liling Hou et al.
[This corrects the article DOI: 10.3389/fnbot.2025.1633697.]. Keywords: adaptive spline linear unit; axial-s...
Published Erratum
Frontiers in neurorobotics. 2025 Nov 10:19:1711642. DOI:10.3389/fnbot.2025.1711642 2025
Effective and efficient self-supervised masked model based on mixed feature training [0.03%]
基于混合特征训练的有效高效自监督掩码模型
Qingjiu Kang,Feng Liu,Chunliu Cai
Qingjiu Kang
Under the influence of Masked Language Modeling (MLM), Masked Image Modeling (MIM) employs an attention mechanism to perform masked training on images. However, processing a single image requires numerous iterations and substantial computat...
A simple robot suggests trunk rotation is essential for emergence of inside leading limb during quadruped galloping turns [0.03%]
一个简单的机器人表明躯干旋转对于四足动物疾跑转弯时内侧前肢的出现至关重要
Tomoe Maeta,Shoei Hattori,Takeshi Kano et al.
Tomoe Maeta et al.
During turning maneuvers in the galloping gait of quadruped animals, a strong relationship exists between the turning direction and the sequence in which the forelimbs make ground contact: the outer forelimb acts as the "trailing limb" whil...
TSLNet: a hierarchical multi-head attention-enabled two-stream LSTM network for accurate pedestrian tracking and behavior recognition [0.03%]
基于层次结构的多头注意力两流LSTM网络在行人跟踪和行为识别中的应用研究
Shouye Lv,Rui He,Xiaofei Cheng et al.
Shouye Lv et al.
Accurate pedestrian tracking and behavior recognition are essential for intelligent surveillance, smart transportation, and human-computer interaction systems. This paper introduces TSLNet, a Hierarchical Multi-Head Attention-Enabled Two-St...
Adaptive-expert-weight-based load balance scheme for dynamic routing of MoE [0.03%]
基于自适应专家权重的MoE动态路由负载均衡方案
Jialin Wen,Xiaojun Li,Junping Yao et al.
Jialin Wen et al.
Load imbalance is a major performance bottleneck in training mixture-of-experts (MoE) models, as unbalanced expert loads can lead to routing collapse. Most existing approaches address this issue by introducing auxiliary loss functions to ba...