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๐Ÿ” zhenyu cai ๐Ÿ“‚ Engineering
Showing 1186 results for "zhenyu cai" in Engineering
Engineering Preprint PDF DOI

Can Tabular Foundation Models Guide Exploration in Robot Policy Learning?

Buqing Ou, Frederike Dumbgen ยท 2026

Policy optimization in high-dimensional continuous control for robotics remains a challenging problem. Predominant methods are inherently local and often require extensive tuning and carefully chosen โ€ฆ

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Engineering Preprint PDF DOI

FeatureFox: Sample-Efficient Panoptic Graph Segmentation for Machining Feature Recognition in B-Rep 3D-CAD Models

Bertram Fuchs, Altay Kacan, Aaron Haag, Oliver Lohse ยท 2026

Automatic feature recognition (AFR) on B-Rep 3D-CAD models is central to CAD/CAM automation, yet most learning-based methods are complex, data-hungry, and evaluate instance grouping and semantic labelโ€ฆ

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Engineering Preprint PDF DOI

Fuelling fusion plasmas with pellets: Can neuromorphic control outperform Sigma-Delta modulation?

L.L.T.C. Jansen, E. Petri, M. van Berkel, W.P.M.H. Heemels ยท 2026

Nuclear fusion is a promising clean energy source in which deuterium and tritium fuse inside a magnetically confined plasma in a tokamak, releasing energy. A key challenge on the route to practical nuโ€ฆ

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Engineering Preprint PDF DOI

Joint Design of Doppler-Resilient Unimodular Discrete-Phase Waveforms and Receiving Filters for MIMO Radars

Junpeng Ma, Yuke Li, Junbo Wang, Yongxing Zhou ยท 2026

Designing Doppler-resilient unimodular discrete phase-coded waveforms (DPWs) with low delay-Doppler sidelobes is critical for multiple-input multiple-output (MIMO) radar. Existing block coordinate desโ€ฆ

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Engineering Preprint PDF DOI

Deep Image Prior for photoacoustic tomography can mitigate limited-view artifacts

Hanna Pulkkinen, Jenni Poimala, Leonid Kunyansky, Janek Grohl, Andreas Hauptmann ยท 2026

We study the deep image prior (DIP) framework applied to photoacoustic tomography (PAT) as an unsupervised reconstruction approach to mitigate limited-view artifacts and noise commonly encountered in โ€ฆ

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Engineering Preprint PDF DOI

CAR-EnKF: A Covariance-Adaptive and Recalibrated Ensemble Kalman Filter Framework

Shida Jiang, Shengyu Tao, Zihe Liu, Scott Moura ยท 2026

The ensemble Kalman filter (EnKF) is widely used for nonlinear and high-dimensional state estimation because it replaces complex covariance propagation with simple ensemble statistics. However, convenโ€ฆ

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Engineering Preprint PDF DOI

Scalable DDPM-Polycube: An Extended Diffusion-Based Method for Hexahedral Mesh and Volumetric Spline Construction

Yuxuan Yu, Jiashuo Liu, Hua Tong, Honghua Lou, Yongjie Jessica Zhang ยท 2026

Polycube structures provide parametric domains for all-hexahedral (all-hex) mesh generation and analysis-suitable volumetric spline construction in isogeometric analysis (IGA). Recent learning-based pโ€ฆ

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Engineering Preprint PDF DOI

DEX-Mouse: A Low-cost Portable and Universal Interface with Force Feedback for Data Collection of Dexterous Robotic Hands

Joonho Koh, Haechan Jung, Nayoung Kim, Wook Ko, Changjoo Nam ยท 2026

Data-driven dexterous hand manipulation requires large-scale, physically consistent demonstration data. Simulation and video-based methods suffer from sim-to-real gaps and retargeting problems, while โ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Reachability Analysis Using Matrix Perturbation Theory

Peng Xie, Abdulla Fawzy, Zhen Zhang, Amr Alanwar ยท 2026

We propose a matrix zonotope perturbation framework that leverages matrix perturbation theory to characterize how noise-induced distortions alter the dynamics within sets of models. The framework deriโ€ฆ

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Engineering Preprint PDF DOI

RACF: A Resilient Autonomous Car Framework with Object Distance Correction

Chieh Tsai, Hossein Rastgoftar, Salim Hariri ยท 2026

Autonomous vehicles are increasingly deployed in safety-critical applications, where sensing failures or cyberphysical attacks can lead to unsafe operations resulting in human loss and/or severe physiโ€ฆ

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Engineering Preprint PDF DOI

CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability

Utsho Kumar Dey ยท 2026

Pneumonia remains a leading cause of childhood mortality worldwide, with a heavy burden in low-resource settings such as Bangladesh where radiologist availability is limited. Most existing deep learniโ€ฆ

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Engineering Preprint PDF DOI

VLMaterial: Vision-Language Model-Based Camera-Radar Fusion for Physics-Grounded Material Identification

Jiangyou Zhu, He Chen ยท 2026

Accurate material recognition is a fundamental capability for intelligent perception systems to interact safely and effectively with the physical world. For instance, distinguishing visually similar oโ€ฆ

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Engineering Preprint PDF DOI

A Benchmark of Dexterity for Anthropomorphic Robotic Hands

Davide Liconti, Yuning Zhou, Yasunori Toshimitsu, Ronan Hinchet, Robert K. Katzschmann ยท 2026

Dexterity is a central yet ambiguously defined concept in the design and evaluation of anthropomorphic robotic hands. In practice, the term is often used inconsistently, with different systems evaluatโ€ฆ

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Engineering Preprint PDF DOI

Toward Generalizable Graph Learning for 3D Engineering AI: Explainable Workflows for CAE Mode Shape Classification and CFD Field Prediction

Tong Duy Son, Kohta Sugiura, Marc Brughmans, Andrey Hense, Zhihao Liu, Amirthalakshmi Veeraraghavan, Ajinkya Bhave, Jay Masters, Paolo di Carlo, Theo Geluk ยท 2026

Automotive engineering development increasingly relies on heterogeneous 3D data, including finite element (FE) models, body-in-white (BiW) representations, CAD geometry, and CFD meshes. At the same tiโ€ฆ

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Engineering Preprint PDF DOI

FM-CAC: Carbon-Aware Control for Battery-Buffered Edge AI via Time-Series Foundation Models

Kang Yang, Walid A. Hanafy, Prashant Shenoy, Mani Srivastava ยท 2026

As edge AI deployments scale to billions of devices running always-on, real-time compound AI pipelines, they represent a massive and largely unmanaged source of energy consumption and carbon emissionsโ€ฆ

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Engineering Preprint PDF DOI

Control Architecture and experimental validation of a Novel Surgical Robotic Instrument

Doina Pisla (CESTER), Ionut Zima (CESTER), Calin Vaida (CESTER), Andrei Cailean, Marius Miclaus (CESTER), Adrian Pisla (CESTER), Andrei Caprariu, Vasile Bulbucan (CESTER), Bogdan Gherman, Damien Chablat (LS2N - equipe RoMas, LS2N) ยท 2026

Minimally invasive surgery (MIS) reduces patient trauma and shortens recovery time; however, conventional laparoscopic instruments remain constrained by limited range of movements. This work presents โ€ฆ

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Engineering Preprint PDF DOI

Veo-Act: How Far Can Frontier Video Models Advance Generalizable Robot Manipulation?

Zhongru Zhang, Chenghan Yang, Qingzhou Lu, Yanjiang Guo, Jianke Zhang, Yucheng Hu, Jianyu Chen ยท 2026

Video generation models have advanced rapidly and are beginning to show a strong understanding of physical dynamics. In this paper, we investigate how far an advanced video generation model such as Veโ€ฆ

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Engineering Preprint PDF DOI

A Novel Hybrid PID-LQR Controller for Sit-To-Stand Assistance Using a CAD-Integrated Simscape Multibody Lower Limb Exoskeleton

Ranjeet Kumbhar, Rajmeet Singh, Appaso M Gadade, Ashish Singla, Irfan Hussain ยท 2026

Precise control of lower limb exoskeletons during sit-to-stand (STS) transitions remains a central challenge in rehabilitation robotics owing to the highly nonlinear, time-varying dynamics of the humaโ€ฆ

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Engineering Preprint PDF DOI

Dynamic resource coordination can increase grid hosting capacity to support more renewables, storage, and electrified load growth

Vineet Jagadeesan Nair, Morteza Vahid-Ghavidel, Anuradha M. Annaswamy ยท 2026

We show that dynamic coordination of distributed energy resources (DERs) can increase the capacity of low- and medium-voltage grids, improve reliability and power quality, and reduce solar curtailmentโ€ฆ

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Engineering Preprint PDF DOI

Can Hierarchical Cross-Modal Fusion Predict Human Perception of AI Dubbed Content?

Ashwini Dasare, Nirmesh Shah, Ashishkumar Gudmalwar, Pankaj Wasnik ยท 2026

Evaluating AI generated dubbed content is inherently multi-dimensional, shaped by synchronization, intelligibility, speaker consistency, emotional alignment, and semantic context. Human Mean Opinion Sโ€ฆ

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