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🔍 case control studies 📂 Engineering 📄 Preprint
Showing 49647 results for "case control studies" in Engineering · Preprint
Engineering Preprint PDF DOI

OmniRobotHome: A Multi-Camera Platform for Real-Time Multiadic Human-Robot Interaction

Junyoung Lee, Sookwan Han, Jeonghwan Kim, Inhee Lee, Mingi Choi, Jisoo Kim, Wonjung Woo, Hanbyul Joo · 2026

Human-robot collaboration has been studied primarily in dyadic or sequential settings. However, real homes require multiadic collaboration, where multiple humans and robots share a workspace, acting c…

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Engineering Preprint PDF DOI

LaST-R1: Reinforcing Action via Adaptive Physical Latent Reasoning for VLA Models

Hao Chen, Jiaming Liu, Zhonghao Yan, Nuowei Han, Renrui Zhang, Chenyang Gu, Jialin Gao, Ziyu Guo, Siyuan Qian, Yinxi Wang, Peng Jia, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng · 2026

Vision-Language-Action (VLA) models have increasingly incorporated reasoning mechanisms for complex robotic manipulation. However, existing approaches share a critical limitation: whether employing ex…

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Engineering Preprint PDF DOI

FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems

Binghao Huang, Yunzhu Li · 2026

We present FlexiTac, a low-cost, open-source, and scalable piezoresistive tactile sensing solution designed for robotic end-effectors. FlexiTac is a practical "plug-in" module consisting of (i) thin, …

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Engineering Preprint PDF DOI

Design and Characteristics of a Thin-Film ThermoMesh for the Efficient Embedded Sensing of a Spatio-Temporally Sparse Heat Source

Sajjad Boorghan Farahan, Ahmed Alajlouni, Jingzhou Zhao · 2026

This work presents ThermoMesh, a passive thin-film thermoelectric mesh sensor designed to detect and characterize spatio-temporally sparse heat sources through conduction-based thermal imaging. The de…

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Engineering Preprint PDF DOI

Hierarchical Control for Continuous-time Systems via General Approximate Alternating Simulation Relations

Zhiyuan Huang, Shuo Li, Murat Arcak, Majid Zamani, Bingzhuo Zhong · 2026

This paper introduces a general approximate alternating simulation relation (\emph{$\varepsilon$-gAAS relation}) for continuous-time systems, which relaxes existing simulation relations to tolerate la…

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Engineering Preprint PDF DOI

Intelligent Self-tuning Active EMI Filtering for Electrified Automotive Power Systems Using Reinforcement Learning

Mahuizi Lu, Kelin Jia, Rajib Goswami, Yukun Hu · 2026

The rapid electrification and intelligence of modern transportation systems place stringent demands on the electromagnetic compatibility, reliability, and adaptability of automotive power electronics.…

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Engineering Preprint PDF DOI

A MEC-Based Optimization Framework for Dynamic Inductive Charging

Emre Ak{i}skal{i}oglu, Mustafa Atmaca, Lorenzo Ghiro, Giovanni Perin, Renato Lo Cigno · 2026

Range anxiety and long recharging times remain critical barriers to electric vehicle adoption. Dynamic Inductive Charging (DIC) offers a compelling solution by enabling wireless power transfer while d…

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Engineering Preprint PDF DOI

Framework for Collaborative Operation of Autonomous Delivery Vehicles Within a Marshaling Yard

James O'Hara, Karl Wunderlich, Gregory Stevens · 2026

As autonomous vehicles slowly deploy into urban roads for limited use cases with significant edge case issues, closed facilities like marshaling yards provide a ripe case for combining lower-level veh…

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Engineering Preprint PDF DOI

Experimental Performance of a 5G N78 Reconfigurable Intelligent Surface: From Controlled Measurements to Commercial Network Deployment

Sefa Kayrakl{i}k, Samed Kesir, Batuhan Kaplan, Ahmet Muaz Aktas, Emre Arslan, Ahmet Faruk Coskun · 2026

This paper presents a real-world experimental analysis of a modular reconfigurable intelligent surface (RIS) prototype designed to operate in the 5G N78 band. Unlike most RIS studies in the literature…

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Engineering Preprint PDF DOI

Design Structure Matrix Modularization with Large Language Models

Shuo Jiang, Jianxi Luo · 2026

Design Structure Matrix (DSM) modularization, the task of partitioning system elements into cohesive modules, is a fundamental combinatorial challenge in engineering design. Traditional methods treat …

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Engineering Preprint PDF DOI

Dreaming Across Towns: Semantic Rollout and Town-Adversarial Regularization for Zero-Shot Held-Out-Town Fixed-Route Driving in CARLA

Feeza Khan Khanzada, Jaerock Kwon · 2026

Learned driving agents often degrade when deployed in unseen environments. This paper studies a deliberately bounded instance of that problem in the CARLA simulator: zero-shot transfer of a closed-loo…

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Engineering Preprint PDF DOI

CRS-LLM: Cooperative Beam Prediction with a GPT-Style Backbone and Switch-Gated Fusion

Fangzhi Li, Cunhua Pan, Hong Ren, Dongming Wang, Jiangzhou Wang · 2026

Millimeter-wave (mmWave) communication depends on highly directional beamforming, while fast mobility, blockage, and rapid geometry changes in vehicle-to-everything (V2X) scenarios make beam tracking …

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Engineering Preprint PDF DOI

On the Nesterov's acceleration: A NAIM perspective

Rachit Mehra, M Parimi, Amol Yerudkar, S.R. Wagh, Navdeep Singh · 2026

We present a unifying Nearly Asymptotically Invariant Manifold (NAIM) framework for understanding Nesterovs Accelerated Gradient (NAG) method. By lifting the first-order gradient flow into a second-or…

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Engineering Preprint PDF DOI

MotuBrain: An Advanced World Action Model for Robot Control

MotuBrain Team, Chendong Xiang, Fan Bao, Haitian Liu, Hengkai Tan, Hongzhe Bi, James Li, Jiabao Liu, Jingrui Pang, Kiro Jing, Louis Liu, Mengchen Cai, Rongxu Cui, Ruowen Zhao, Runqing Wang, Shuhe Huang, Yao Feng, Yinze Rong, Zeyuan Wang, Jun Zhu · 2026

Vision-Language-Action (VLA) models achieve strong semantic generalization but often lack fine-grained modeling of world dynamics. Recent work explores video generation models as a foundation for worl…

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Engineering Preprint PDF DOI

Optimal Functional Incentives for Control: The Linear-Quadratic Case with Bilinear Incentives

Jonas G. Matt, Saverio Bolognani, Florian Dorfler · 2026

We study the design of functional incentive mechanisms for dynamical systems, in which a leader designs a fixed incentive function to motivate a self-interested follower to actuate the system benefici…

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Engineering Preprint PDF DOI

On the Fractional Fourier Transform for FMCW Radar Interference Mitigation

Christian Oswald, Josef Kulmer, Franz Pernkopf · 2026

In this paper, we extend our method [1] for FMCW radar mutual interference mitigation (IM) based on the discrete fractional Fourier transform (DFrFT). Firstly, we propose a radar signal processing cha…

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Engineering Preprint PDF DOI

Connected Dependability Cage: Run-Time Function and Anomaly Monitoring for the Development and Operation of Safe Automated Vehicles

Iqra Aslam, Nour Habib, Abhishek Buragohain, Meng Zhang, Andreas Rausch, Vaibhav Tiwari, Mohamed Benchat · 2026

The advancement of automated vehicles introduces complex safety challenges, particularly in dynamic and unpredictable environments where AI-enabled perception systems must operate reliably. Ensuring c…

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Engineering Preprint PDF DOI

ExoActor: Exocentric Video Generation as Generalizable Interactive Humanoid Control

Yanghao Zhou, Jingyu Ma, Yibo Peng, Zhenguo Sun, Yu Bai, Borje F. Karlsson · 2026

Humanoid control systems have made significant progress in recent years, yet modeling fluent interaction-rich behavior between a robot, its surrounding environment, and task-relevant objects remains a…

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Engineering Preprint PDF DOI

Robust Geometric Control of Catenary Robots under Unstructured Force Uncertainties

Alexandre Anahory Simoes, Leonardo Colombo · 2026

This paper considers the robust control of a catenary robot composed of two quadrotors connected by an inextensible cable. The system is modeled on \(SE(3)\), with the cable treated as a geometric sub…

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Engineering Preprint PDF DOI

Can Tabular Foundation Models Guide Exploration in Robot Policy Learning?

Buqing Ou, Frederike Dumbgen · 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 …

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