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Engineering Preprint PDF DOI

High-Fidelity and Location-Robust Respiratory Waveform Monitoring with Single-Antenna WiFi

Hefei Wang, Jianwei Liu, Yinghui He, Guanding Yu, Jinsong Han ยท 2026

In recent years, WiFi sensing has been recognized as a promising technology to bring respiratory monitoring into everyday homes, thanks to its contactless nature and ubiquitous availability. However, โ€ฆ

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Engineering Preprint PDF DOI

Benefits of Low-Cost Bio-Inspiration in the Age of Overparametrization

Kevin Godin-Dubois, Anil Yaman, Anna V. Kononova ยท 2026

While Central Pattern Generators (CPGs) and Multi-Layer Perceptrons (MLP) are widely used paradigms in robot control, few systematic studies have been performed on the relative merits of large parametโ€ฆ

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Descriptor: A Hybrid Indoor and Indoor-Outdoor Positioning Multi-Technology Dataset (HYMN)

Muhammad Ammad, Albrecht Michler, Paul Schwarzbach, Jonas Ninnemann, Hagen U{ss}ler, Oliver Michler ยท 2026

This article introduces the HYMN (HYbrid Multi-technology Navigation) dataset: a multi-system, and time synchronized dataset for localization research based on opportunistic signals collected in an inโ€ฆ

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Engineering Preprint PDF DOI

Bimanual Robot Manipulation via Multi-Agent In-Context Learning

Alessio Palma, Indro Spinelli, Vignesh Prasad, Luca Scofano, Yufeng Jin, Georgia Chalvatzaki, Fabio Galasso ยท 2026

Language Models (LLMs) have emerged as powerful reasoning engines for embodied control. In particular, In-Context Learning (ICL) enables off-the-shelf, text-only LLMs to predict robot actions without โ€ฆ

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Engineering Preprint PDF DOI

A Vision-Language-Action Model for Adaptive Ultrasound-Guided Needle Insertion and Needle Tracking

Yuelin Zhang, Qingpeng Ding, Longxiang Tang, Chengyu Fang, Shing Shin Cheng ยท 2026

Ultrasound (US)-guided needle insertion is a critical yet challenging procedure due to dynamic imaging conditions and difficulties in needle visualization. Many methods have been proposed for automateโ€ฆ

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Engineering Preprint PDF DOI

An Explainable Approach to Document-level Translation Evaluation with Topic Modeling

Hyeokmin Lee, Youngkyu Kim, Byounghyun Yoo ยท 2026

The advent of NMT has expanded the scope of translation beyond isolated sentences, enabling context to be preserved across paragraphs and documents. However, current evaluation metrics largely remain โ€ฆ

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Engineering Preprint PDF DOI

AdaTracker: Learning Adaptive In-Context Policy for Cross-Embodiment Active Visual Tracking

Kui Wu, Hao Chen, Jinzhu Han, Haijun Liu, Churan Wang, Yizhou Wang, Zhoujun Li, Si Liu, Fangwei Zhong ยท 2026

Realizing active visual tracking with a single unified model across diverse robots is challenging, as the physical constraints and motion dynamics vary drastically from one platform to another. Existiโ€ฆ

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Engineering Preprint PDF DOI

SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving

Anjie Qiu, Donglin Wang, Zexin Fang, Sanket Partani, Hans D. Schotten ยท 2026

Cloud-hosted LLM inference for autonomous driving adds round-trip delay and depends on stable connectivity, while purely local edge models struggle under occlusion. We present SwarmDrive, a semantic Vโ€ฆ

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Engineering Preprint PDF DOI

ETac: A Lightweight and Efficient Tactile Simulation Framework for Learning Dexterous Manipulation

Zhe Xu, Feiyu Zhao, Xiyan Huang, Chenxi Xiao ยท 2026

Tactile sensors are increasingly integrated into dexterous robotic manipulators to enhance contact perception. However, learning manipulation policies that rely on tactile sensing remains challenging,โ€ฆ

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Onboard Wind Estimation for Small UAVs Equipped with Low-Cost Sensors: An Aerodynamic Model-Integrated Filtering Approach

Bingchen Cheng, Tielin Ma, Jingcheng Fu, Lulu Tao, Tianhui Guo ยท 2026

To enable autonomous wind estimation for energy-efficient flight in small unmanned aerial vehicles (UAVs), this study proposes a method that estimates flight states and wind using only the low-cost esโ€ฆ

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Lightweight Low-SNR-Robust Semantic Communication System for Autonomous Driving

Ruixing Ren, Minjie Wei, Junhui Zhao ยท 2026

Image transmission for vehicle-to-vehicle collaborative perception in autonomous driving faces challenges including limited on-board terminal resources, time-varying wireless channel fading, and poor โ€ฆ

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Embedding-Based Intrusive Evaluation Metrics for Musical Source Separation Using MERT Representations

Paul A. Bereuter, Alois Sontacchi ยท 2026

Evaluation of musical source separation (MSS) has traditionally relied on Blind Source Separation Evaluation (BSS-Eval) metrics. However, recent work suggests that BSS-Eval metrics exhibit low correlaโ€ฆ

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Cortex 2.0: Grounding World Models in Real-World Industrial Deployment

Adriana Aida, Walid Amer, Katarina Bankovic, Dhruv Behl, Fabian Busch, Annie Bhalla, Minh Duong, Florian Gienger, Rohan Godse, Denis Grachev, Ralf Gulde, Elisa Hagensieker, Junpeng Hu, Shivam Joshi, Tobias Knobloch, Likith Kumar, Damien LaRocque, Keerthana Lokesh, Omar Moured, Khiem Nguyen, Christian Preyss, Ranjith Sriganesan, Vikram Singh, Carsten Sponner, Anh Tong, Dominik Tuscher, Marc Tuscher, Pavan Upputuri ยท 2026

Industrial robotic manipulation demands reliable long-horizon execution across embodiments, tasks, and changing object distributions. While Vision-Language-Action models have demonstrated strong generโ€ฆ

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Controlling the \'{C}uk Converter using Piecewise Linear Lyapunov Functions

Aleksandra Lekic, Nikola Petrovic, Dusan Stipanovic ยท 2026

In this paper we design a switching control law for the \'Cuk converter in the continuous conduction mode using piecewise linear Lyapunov functions. These Lyapunov functions can be constructed using dโ€ฆ

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LMI Approach for Sliding Mode Control and Analysis of DC-DC Converters

Aleksandra Lekic, Dusan Stipanovic ยท 2026

Circuits' and in particular DC/DC converters' switching behavior is analyzed in this paper using the equivalent control modeling of the dynamic systems' sliding mode regime. As a representative examplโ€ฆ

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Robust Fixed-Time Model Reference Adaptive Control

Chayan Kumar Paul, Krishanu Nath, Indra Narayan Kar, Denis Efimov, Rosane Ushirobira ยท 2026

This article proposes a Model Reference Adaptive Control (MRAC) strategy to achieve fixed-time convergence of parameter estimation and tracking errors for unknown linear time-invariant systems, withouโ€ฆ

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Toward Cooperative Driving in Mixed Traffic: An Adaptive Potential Game-Based Approach with Field Test Verification

Shiyu Fang, Xiaocong Zhao, Xuekai Liu, Peng Hang, Jianqiang Wang, Yunpeng Wang, Jian Sun ยท 2026

Connected autonomous vehicles (CAVs), which represent a significant advancement in autonomous driving technology, have the potential to greatly increase traffic safety and efficiency through cooperatiโ€ฆ

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Computationally Efficient Sparse Signal Recovery via Linear Sketching and Deep Unfolding

Tatsuki Tokumura, Ayano Nakai-Kasai, Tadashi Wadayama ยท 2026

This paper provides a sparse signal recovery algorithm, DU-PSISTA (Deep Unfolded-Periodic Sketched Iterative Shrinkage-Thresholding Algorithm), which aims to balance computational efficiency and accurโ€ฆ

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Stochastic Barrier Certificates in the Presence of Dynamic Obstacles

Rayan Mazouz, Luca Laurenti, Morteza Lahijanian ยท 2026

Safety of stochastic dynamic systems in environments with dynamic obstacles is studied in this paper through the lens of stochastic barrier functions. We introduce both time-invariant and time-varyingโ€ฆ

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Predicting food taste with bound-driven optimization

Pagkratis Tagkopoulos, Dimitris Sfondilis, Ilias Tagkopoulos, Tarek Zohdi ยท 2026

The prediction of sensory attributes from ingredient-level formulations is an emerging challenge at the intersection of food science and artificial intelligence. We address the fundamental question ofโ€ฆ

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