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 ...
Liancheng Zheng,Rizauddin Ramli,Wenfeng Zhang
Liancheng Zheng
Exoskeleton robots have become a representative class of wearable robotic systems for rehabilitation, mobility assistance, occupational support, and human performance augmentation. As the field moves from laboratory prototypes toward clinic...
Confidence-driven adaptive time window for real-time driver fatigue detection in Level 2-3 autonomous vehicles: a multi-dataset validation study [0.03%]
基于置信度的自适应时间窗口在2H3H自动驾驶车辆中的实时驾驶员疲劳检测：多数据集验证研究
Wantong Xie,Peng Xiao
Wantong Xie
Driver fatigue constitutes a critical safety hazard in Level 2-3 (L2-3) conditionally automated vehicles, where the paradoxical demand for sustained supervisory vigilance despite minimal active engagement accelerates cognitive underload and...
DSPE-ViT: a lightweight vision transformer with dynamic sparse positional encoding for dense small object detection in UAV imagery [0.03%]
DSPE-ViT：一种基于无人机影像中密集小型目标检测的轻量级视觉变压器及动态稀疏位置编码方法
Liya Cai,Shuping Li
Liya Cai
Background: Detecting densely distributed small objects in unmanned aerial vehicle (UAV) aerial imagery poses a persistent challenge in computer vision. Vision Transformers (ViTs), empowered by global self-attention, perf...
ST-HONet: Spatio-Temporal Hierarchical Network for long-horizon bimanual visuomotor imitation [0.03%]
基于时空分层网络的长时域双臂视觉运动模仿方法(ST-HONet)
Xukun Liu,Fengjuan Xie,Kai Xu et al.
Xukun Liu et al.
Introduction: Learning robust and temporally consistent manipulation policies from long-horizon visual observations remains a fundamental challenge in imitation learning. While recent Transformer-based approaches reduce c...
ST-HADP: Spatio-Temporal hierarchical attention diffusion policy for long-horizon generalizable bimanual visuomotor imitation [0.03%]
时空层次注意传播策略：用于长时地一般化双臂视觉运动模仿的ST-HADP政策
Xukun Liu,Fengjuan Xie,Shibo Liu et al.
Xukun Liu et al.
Introduction: Dual-arm robotic manipulation presents fundamental challenges in coordinating spatially shared perception and temporally extended behaviors under limited demonstration settings. Existing diffusion-based visu...
EQISP: efficient quantized image signal processing with multi-scale pyramid fusion for resource constrained embodied perception [0.03%]
基于多尺度金字塔融合的资源受限具身感知高效量化图像信号处理(EIFP)
Tongxin Yang,Ling Guo,Jie Li et al.
Tongxin Yang et al.
Introduction: Resource-constrained environmental perception requires autonomous robots and embodied intelligent systems to process visual signals efficiently while preserving image fidelity in complex real-world environme...
Research on embodied agent multimodal perception and real-time path planning algorithms for complex unstructured environments [0.03%]
基于实体智能体的多模态感知与复杂非结构化环境实时路径规划算法研究
Hexuan Ren
Hexuan Ren
Autonomous navigation of embodied agents in complex unstructured environments demands tightly coupled multimodal perception and real-time path planning capabilities, forming a core technical bottleneck in physical-world robot deployment. He...
NL-YOLOv5: a model with a larger receptive field and the ability to globally acquire features [0.03%]
NL-YOLOv5：一种具有更大感受野和全局特征获取能力的模型
Zhiyu Li,Jinhu Liu,Zhihao Zhuo et al.
Zhiyu Li et al.
Introduction: Landslide disasters cause severe casualties and economic losses, demanding rapid and accurate detection from high-resolution remote sensing imagery. Traditional methods struggle with insufficient landslide s...