Interpretable side-aware kinematic-sEMG gait-state representations relevant to adaptive neurorobotic assistance after stroke: a public-dataset study [0.03%]
面向中风后自适应神经机器人辅助的可解释侧别上下肢运动肌电步态状态表征：公共数据集研究
Rocco Salvatore Calabrò,Andrea Calderone,Alessio Baricich et al.
Rocco Salvatore Calabrò et al.
Background: Adaptive lower-limb neurorobotics requires gaitd-state representations that preserve locomotor structure without reducing post-stroke walking to a single asymmetry score or opaque latent embedding. Because pos...
Human-inspired sensorimotor controller for dynamic motion adaptation: a study in robotic arms [0.03%]
灵感来自人的感知运动控制器：基于机器手臂的动力动作适应性研究
Maxime Marchal,Raphaël Furnémont,Tom Verstraten et al.
Maxime Marchal et al.
Robotic systems operating in dynamic environments often struggle to adapt their movements to external sensory signals without relying on explicit analytical models or conventional position-tracking control schemes. This limitation is especi...
Active physical human-exoskeleton interaction based on motion intention adaptive recognition and synchronous tracking [0.03%]
基于运动意图自适应识别的主动人机物理交互及同步跟踪方法研究
Weiguo Shi,Weiqun Wang,Jiaxing Wang et al.
Weiguo Shi et al.
Active physical human-exoskeleton interaction has been widely studied. However, the challenges of human motion intention recognition and synchronous tracking have not been well-addressed. In this article, a motion intention recognition meth...
A cognitive synergetic hierarchical framework for UAV swarm combat via speculative inference and role-decoupled reinforcement learning [0.03%]
基于猜想推理与解耦强化学习的无人机集群作战认知协同分层框架
Lixa Wang,Yunqing Liu,Linyang Guo et al.
Lixa Wang et al.
In the high-stakes arena of aerial combat-a domain defined by extreme dynamics and unforgiving physical constraints-UAV swarms are currently squeezed between two extremes: the "tactical short-sightedness" of Multi-Agent Reinforcement Learni...
A context-aware transformer with weighted residual for efficient remote sensing target detection [0.03%]
一种上下文感知的加权残差变换器高效遥感目标检测方法
Zhongyu Li,Yimin Shen,Xiaoping Jing et al.
Zhongyu Li et al.
Remote sensing image target detection has important applications in disaster prevention and mitigation. However, current detection models still have shortcomings in multi-scale feature fusion and in representing contextual information, and ...
Editorial: Biomechanical and cognitive pattern assessment in human-machine collaborative tasks for industrial robotics [0.03%]
人机合作任务中的生物力学和认知模式评估用于工业机器人中的评论文章
Alessandro Mengarelli,Andrea Tigrini,Ali H Al-Timemy et al.
Alessandro Mengarelli et al.
A lightweight Chinese-English translation model integrating compressed BERT attention and phrase discard mechanism [0.03%]
一种集成压缩BERT注意力和短语丢弃机制的轻量级中英翻译模型
Xin Qi,Hang Bao
Xin Qi
Chinese-English machine translation based on neural network model strictly adopts the sequential modeling method of encoder-decoder. However, this traditional method cannot make effective use of syntactic information and linguistic hierarch...
Kaiming Zou,Ningbo He,Leijun Yao et al.
Kaiming Zou et al.
Deep learning techniques have been successfully applied to object classification in Synthetic Aperture Radar (SAR) images, achieving remarkable performance. However, the current Transformer architecture still faces two limitations in SAR ob...
HarmoAtt-IK: an adaptive multimodal feature fusion network for real-time neural inverse kinematics [0.03%]
一种自适应多模态特征融合网络，用于实时神经逆运动学问题
Xukun Liu,Fengjuan Xie,Yu Liu et al.
Xukun Liu et al.
Introduction: Recent advances in neural networks have introduced a new paradigm for robotic inverse kinematics. However, existing methods remain limited by insufficient feature extraction and suboptimal integration of mul...
Design an anthropomorphic dexterous hand for expressive piano performance [0.03%]
设计一种拟人灵巧手以富有表现力的方式弹奏钢琴
Yanhong Liang,Xianwei Liu,Yanyan Yuan et al.
Yanhong Liang et al.
Background: Expressive piano performance poses extreme challenges for robotic manipulation, necessitating high-speed repetitive impacts, substantial force output, and coordinated multi-joint control under stringent dynami...