Long Cheng,Ying Mao,Tomas Ward
Long Cheng
Xianmin Wang,Jing Li
Xianmin Wang
Study on the standardization method of radiotelephony communication in low-altitude airspace based on BART [0.03%]
基于BART的低空空域无线电通话标准化方法研究
Weijun Pan,Boyuan Han,Peiyuan Jiang
Weijun Pan
The development of air traffic control (ATC) automation has been constrained by the scarcity and low quality of communication data, particularly in low-altitude complex airspace, where non-standardized instructions frequently hinder trainin...
ModuCLIP: multi-scale CLIP framework for predicting foundation pit deformation in multi-modal robotic systems [0.03%]
多模态机器人系统中的预测基础坑变形的多尺度CLIP框架
Lin Wenbo,Li Tingting,Li Xiao
Lin Wenbo
Introduction: Foundation pit deformation prediction is a critical aspect of underground engineering safety assessment, influencing construction quality and personnel safety. However, due to complex geological conditions a...
Erratum: Latent space improved masked reconstruction model for human skeleton-based action recognition [0.03%]
用于人体骨架动作识别的潜在空间改进的掩码重建模型（勘误版）
Frontiers Production Office
Frontiers Production Office
[This corrects the article DOI: 10.3389/fnbot.2025.1482281.]. Keywords: human skeleton-based action recognit...
Published Erratum
Frontiers in neurorobotics. 2025 Mar 18:19:1587250. DOI:10.3389/fnbot.2025.1587250 2025
A distributed penalty-based zeroing neural network for time-varying optimization with both equality and inequality constraints and its application to cooperative control of redundant robot manipulators [0.03%]
一种分布式惩罚型零化神经网络用于具有等式和不等式约束的时变优化及其在冗余机器人操作臂协作控制中的应用
Liu He,Hui Cheng,Yunong Zhang
Liu He
This study addresses the distributed optimization problem with time-varying objective functions and time-varying constraints in a multi-agent system (MAS). To tackle the distributed time-varying constrained optimization (DTVCO) problem, eac...
Latent space improved masked reconstruction model for human skeleton-based action recognition [0.03%]
用于人体骨架动作识别的潜在空间改进型掩码重建模型
Enqing Chen,Xueting Wang,Xin Guo et al.
Enqing Chen et al.
Human skeleton-based action recognition is an important task in the field of computer vision. In recent years, masked autoencoder (MAE) has been used in various fields due to its powerful self-supervised learning ability and has achieved go...
Sen Zhang,Fusheng Zha,Xiangji Wang et al.
Sen Zhang et al.
Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in various robotic applications. However, despite...
PoseRL-Net: human pose analysis for motion training guided by robot vision [0.03%]
PoseRL-Net：由机器人视觉指导的运动训练人体姿态分析
Bin Liu,Hui Wang
Bin Liu
Objective: To address the limitations of traditional methods in human pose recognition, such as occlusions, lighting variations, and motion continuity, particularly in complex dynamic environments for seamless human-robot...
Walking control of humanoid robots based on improved footstep planner and whole-body coordination controller [0.03%]
基于改进步长规划和全身协调控制的仿人机器人行走控制研究
Xiangji Wang,Wei Guo,Siyu Yin et al.
Xiangji Wang et al.
High-speed walking is fundamental for humanoid robots to quickly reach the work site in emergency scenarios. According to biological studies, the coordinated motion of the arms and waist can significantly enhance walking speed and stability...