A conceptual approach to material detection based on damping vibration-force signals via robot [0.03%]
基于机器人阻尼振动-力信号的材料检测概念方法研究
Ahmad Saleh Asheghabadi,Mohammad Keymanesh,Saeed Bahrami Moqadam et al.
Ahmad Saleh Asheghabadi et al.
Introduction: Object perception, particularly material detection, is predominantly performed through texture recognition, which presents significant limitations. These methods are insufficient to distinguish between diffe...
Chuangri Zhao,Yang Yu,Zeqi Ye et al.
Chuangri Zhao et al.
Slip detection is to recognize whether an object remains stable during grasping, which can significantly enhance manipulation dexterity. In this study, we explore slip detection for five-finger robotic hands being capable of performing vari...
A scalable multi-modal learning fruit detection algorithm for dynamic environments [0.03%]
适用于动态环境的一种可扩展多模式学习水果检测算法
Liang Mao,Zihao Guo,Mingzhe Liu et al.
Liang Mao et al.
Introduction: To enhance the detection of litchi fruits in natural scenes, address challenges such as dense occlusion and small target identification, this paper proposes a novel multimodal target detection method, denote...
Jinchi Han,Duojicairang Ma
Jinchi Han
For the researches of cooperative control scheme for multirobot systems, this paper sets up an experimental platform based on dobot robots, which can be used to perform physical experiments to verify related schemes. A distributed scheme is...
Critical review on the relationship between design variables and performance of dexterous hands: a quantitative analysis [0.03%]
关于设计变量与灵巧手性能之间关系的批判性评论：定量分析
Lei Jiang,Chaojie Fu,Yanhong Liang et al.
Lei Jiang et al.
Dexterous hands play vital roles in tasks performed by humanoid robots. For the first time, we quantify the correlation between design variables and the performance of 65 dexterous hands using Cramér's V. Comprehensive cross-correlation an...
LoCS-Net: Localizing convolutional spiking neural network for fast visual place recognition [0.03%]
用于快速视觉位置识别的局部化卷积脉冲神经网络
Ugur Akcal,Ivan Georgiev Raikov,Ekaterina Dmitrievna Gribkova et al.
Ugur Akcal et al.
Visual place recognition (VPR) is the ability to recognize locations in a physical environment based only on visual inputs. It is a challenging task due to perceptual aliasing, viewpoint and appearance variations and complexity of dynamic s...
Privacy-preserving ADP for secure tracking control of AVRs against unreliable communication [0.03%]
基于不可靠通信的隐私保护ADP在AVR安全跟踪控制中的应用研究
Kun Zhang,Kezhen Han,Zhijian Hu et al.
Kun Zhang et al.
In this study, we developed an encrypted guaranteed-cost tracking control scheme for autonomous vehicles or robots (AVRs), by using the adaptive dynamic programming technique. To construct the tracking dynamics under unreliable communicatio...
Yuening Li,Xiuhua Yang,Changkui Chen
Yuening Li
Introduction: Traditional action recognition methods predominantly rely on a single modality, such as vision or motion, which presents significant limitations when dealing with fine-grained action recognition. These metho...
NavBLIP: a visual-language model for enhancing unmanned aerial vehicles navigation and object detection [0.03%]
基于视觉语言的无人机导航和目标检测模型 NavBLIP
Ye Li,Li Yang,Meifang Yang et al.
Ye Li et al.
Introduction: In recent years, Unmanned Aerial Vehicles (UAVs) have increasingly been deployed in various applications such as autonomous navigation, surveillance, and object detection. Traditional methods for UAV navigat...
Transformer-based short-term traffic forecasting model considering traffic spatiotemporal correlation [0.03%]
考虑交通时空相关的基于变压器的短期交通预测模型
Ande Chang,Yuting Ji,Yiming Bie
Ande Chang
Traffic forecasting is crucial for a variety of applications, including route optimization, signal management, and travel time estimation. However, many existing prediction models struggle to accurately capture the spatiotemporal patterns i...