Tao Zhang

Single twistable tendon-driven continuum robots

Jiewen Lai, Ying Liu, Tian-Ao Ren, Yan Ma et autres

Tendon-driven continuum robots with spatial manipulability face fundamental challenges in miniaturization, stemming from the space required to accommodate multiple actuation tendons. Conventional multi-tendon designs create an inherent trade-off between miniaturization, 3D manipulability, and force output. Here, we introduce a class of continuum …

hk, us, kr (code pays fourni par la source)

Diffusion-Model-Based Data Augmentation for Target Detection in Side-Scan Sonar Images

Yuanxu Yang, Tao Zhang

Side-scan sonar images play an important role in underwater target detection, seabed mapping, and marine environment monitoring. However, the performance of deep learning-based detectors is often limited by the small scale of available sonar datasets, the high cost of data acquisition, and …

cn (code pays fourni par la source)

Efficient Seismic Event Extraction via Lightweight DoG Enhancement and Spatial Consistency Constraints for Oil and Gas Exploration

Ruilong Suo, Jingong Zhang, Tao Zhang, Feng Zhang et autres

The automatic extraction of seismic reflection events is fundamental to seismic interpretation and structural identification in oil and gas exploration, particularly for large-scale regional surveys and preliminary basin-scale assessments. Although the B-COSFIRE (Bar-Combination of Shifted Filter Responses) method has demonstrated strong capability …

cn (code pays fourni par la source)

An Intelligent Trajectory Prediction Algorithm for Reentry Glide Vehicles Based on Physics‐Informed Constraints and Prediction Error Compensation

Yangchao He, Jiong Li, Lei Shao, Tao Zhang et autres

To address the low accuracy of medium‐ to long‐term (50–200 s) trajectory prediction for reentry glide vehicles (RGVs), this paper proposes an intelligent trajectory prediction algorithm based on physics‐informed constraints and prediction‐error compensation. First, an encoder–decoder architecture leveraging a Long Short‐Term Memory …

cn (code pays fourni par la source)

GefaODR: Online Adaptive Dynamic Point Cloud Removal Based on Grid Existence Frequency for Mobile Robot SLAM

Zijing Zhang, Hongyu Wei, Tao Zhang, Jianfeng Wu et autres

cn (code pays fourni par la source)

SINS/EML Integrated Navigation With Multi-Model Current Estimation and Factor Graph Optimization

Jiangyuan Zhang, Tao Zhang, Gongliu Yang, Hongze Yang et autres

bd, cn (code pays fourni par la source)

A Self-Alignment Method for Vehicle-Mounted MEMS IMU

Lingtong Zhong, Xiaosu Xu, Yiqing Yao, Tao Zhang

To address the challenges of initial heading alignment for the conventional vehicle-mounted microelectromechanical system (MEMS) inertial measurement unit (IMU) in satellite-denied and magnetically disturbed environments, this article proposes a novel iterative self-alignment method that eliminates the reliance on precision rotating mechanisms. First, …

cn (code pays fourni par la source)

Analysis on the Transformation of Cultural Communication Paradigms in the Field of Generative Artificial Intelligence

Yuyang Feng, Tao Zhang

The rapid development of generative AI is reshaping the cultural communication ecosystem. With its powerful content generation capabilities, generative AI comprehensively empowers cultural communication, revolutionizing the cultural communication paradigm by expanding its scope, reconstructing its forms, and strengthening its identity. However, this …

DeepLC: A deep loop closing network robust to viewpoint changes for LiDAR SLAM

Zijian Wang, Xiaosu Xu, Yiqing Yao, Nuo Li et autres

cl, cn (code pays fourni par la source)

Proximity lithography simulation: from shadow printing to holographic lithography

Yuyang Liu, Sikun Li, Dongchao Pan, Haolan Wang et autres

Proximity lithography, based on the principle of near-field diffraction, offers advantages such as technical maturity, structural simplicity, and high throughput. It is widely regarded as a preferred technique for applications such as MEMS fabrication, 3D integrated circuits, through-silicon via interconnections, advanced packaging, …

cn (code pays fourni par la source)

SVAC: Scaling Is All You Need For Referring Video Object Segmentation

Zhang Li, Haoxiang Gao, Tao Zhang

Referring Video Object Segmentation (RVOS) aims to segment target objects in video sequences based on natural language descriptions. While recent advances in Multi-modal Large Language Models (MLLMs) have improved RVOS performance through enhanced text-video understanding, several challenges remain, including insufficient exploitation of …

A Study on the Dynamic Performance Optimization of LLC Resonant Converters Based on ALADRC Control

Renjie Ma, Zhaoliang Meng, Tao Zhang

LLC resonant converters are widely applied in new energy power generation and electric vehicle charging due to their high efficiency and low electromagnetic interference characteristics. However, their dynamic performance is susceptible to load transients and input voltage fluctuations. Traditional PID control exhibits …

cn (code pays fourni par la source)