AI-driven quadruped robots: from fundamental locomotion to advanced biomimetic behaviors [0.03%]
基于人工智能的四足机器人：从基本运动到高级仿生行为
Likai Wu,Chee-Onn Chow,Wei Ru Wong et al.
Likai Wu et al.
Quadruped robots have attracted increasing attention because they can traverse uneven terrain, support field deployment, and perform tasks that are difficult for wheeled or tracked platforms. Recent advances in artificial intelligence (AI) ...
Morphology-agnostic humanoid retargeting via perception-motivated graph similarity [0.03%]
基于感知动机图相似性的好 humanoide重定向，与形态无关
Chaojie Fu,Chengkai Su,Lei Jiang et al.
Chaojie Fu et al.
Quantifying motion similarity, despite its inherently subjective nature, is a foundational problem for humanoid motion transfer and control across different embodiments. Drawing from cognitive studies revealing that human motion similarity ...
Subject-independent gait activity recognition using DSAF: dual-stream IMU-EMG attention fusion with asymmetric temporal encoding and physiological complementarity weighting [0.03%]
基于DSAF的独立于受试者的行走活动识别：具有时间不对称编码和生理互补加权的双流IMU-肌电注意融合方法
Zhangyue Xu,Yan Zhu,Shurui Li
Zhangyue Xu
Introduction: Accurate gait recognition using wearable sensors is of significant clinical value for adaptive prosthetic control, lower-limb exoskeleton assistance, and objective rehabilitation assessment. However, subject...
Meta-analysis of the effects of lower extremity exoskeleton robot on the improvement of walking ability and curative effect in SCI patients [0.03%]
下肢外骨骼机器人改善脊髓损伤患者步行能力及疗效的meta分析
Peishi Feng,Jinglong Li,Sheng Lu et al.
Peishi Feng et al.
Background: Spinal cord injury (SCI) leads to significant motor and sensory impairments, reducing independence and quality of life. Conventional rehabilitation often lacks the intensity and task specificity required for o...
BFMGHC: a boosted fuzzy manifold granule hypersurface classifier with local topology preservation [0.03%]
具有局部拓扑保持的增强模糊流形粒超曲面分类器BFMGHC
Wei Li,Weiyong Si,Zhisong Liu et al.
Wei Li et al.
Drawing inspiration from the brain's neurocognitive mechanisms of information chunking and topographic mapping, adaptive decision-making requires neural-grounded architectures that are interpretable and resilient to uncertainty. In this pap...
An Feng,Tao Wenyin
An Feng
Optical flow estimation is a low-level module in computer vision, widely used in tasks such as visual odometry, autonomous driving, high dynamic range (HDR) imaging, and action recognition. Existing event-based optical flow estimation appro...
PSRNet: a phase-guided frequency-domain structure reconstruction network for RGB-T salient object detection [0.03%]
基于RGB-T显著物体检测的相位引导频域结构重建网络
Feng Xie,Junhong Zhou,Feng Gao et al.
Feng Xie et al.
Introduction: RGB-T salient object detection remains challenging because visible and thermal features often show structural shifts, weak thermal boundaries, and background interference. ...
Distributed multi-robot LiDAR SLAM with ground-optimized preprocessing and slope-adaptive segmentation [0.03%]
基于地面优化预处理和坡度自适应分割的分布式多机器人激光SLAM算法
Yu Wang,Qiang Zou,Fei Wang
Yu Wang
Large-scale outdoor robot navigation increasingly demands SLAM systems capable of operating efficiently across diverse and challenging terrain. While single-robot approaches face inherent coverage and computational limitations, distributed ...
A bionic intelligent method combining evolutionary game theory with particle swarm optimization for UAV 3D path planning [0.03%]
结合进化博弈论与粒子群优化的无人机三维路径规划仿人智能方法
Lixin Jia,Peng Shi
Lixin Jia
Recently, UAV path planning in 3D complex environments has attracted increasing attention due to its significance in UAV motion control systems. However, the NP-hard nature of this problem poses significant challenges in generating a high-q...
Learning robust and generalizable bimanual skills: a spatiotemporal causal hierarchical diffusion framework with attention anti-interference [0.03%]
鲁棒且通用的双臂技能学习：一种时空因果层次扩散框架与注意抗干扰机制
Xukun Liu,Fengjuan Xie,Zhenyu Liu et al.
Xukun Liu et al.
Introduction: Bimanual visuomotor imitation learning enables robots to acquire coordinated dual-arm manipulation skills from visual demonstrations, yet it faces significant challenges in temporal synchronization, spatial ...