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🔍 wayne eberly 📂 Engineering 📄 Preprint
Showing 14330 results for "wayne eberly" in Engineering · Preprint
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

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

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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Engineering Preprint PDF DOI

SASI: Leveraging Sub-Action Semantics for Robust Early Action Recognition in Human-Robot Interaction

Yongpeng Cao, Masahiro Hirano, Hyuno Kim, Yuji Yamakawa · 2026

Understanding human actions is critical for advancing behavior analysis in human-robot interaction. Particularly in tasks that demand quick and proactive feedback, robots must recognize human actions …

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Engineering Preprint PDF DOI

Multidisciplinary Design Optimization for Wave-Driven Desalination Systems

Nate DeGoede, Maha N. Haji · 2026

Wave-driven desalination systems are an innovative solution to the global freshwater crisis, leveraging the complementary characteristics of seawater reverse osmosis and wave energy converters. Howeve…

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Engineering Preprint PDF DOI

Rule-based High-Level Coaching for Goal-Conditioned Reinforcement Learning in Search-and-Rescue UAV Missions Under Limited-Simulation Training

Mahya Ramezani, Holger Voos · 2026

This paper presents a hierarchical decision-making framework for unmanned aerial vehicle (UAV) missions motivated by search-and-rescue (SAR) scenarios under limited simulation training. The framework …

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Engineering Preprint PDF DOI

PM-EKF: A Physiological Model-Based Extended Kalman Filter for Daily-Life Physical Activity Energy Expenditure Estimation

Shuhao Que, Remco Poelarends, Valentina Breschi, Ying Wang · 2026

Monitoring physical activity energy expenditure (PAEE) in daily life is essential for characterizing individual health and metabolic status. Although indirect calorimetry provides gold-standard PAEE m…

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Engineering Preprint PDF DOI

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies

Xue Qin, Simin Luan, John See, Cong Yang, Zhijun Li · 2026

Skill libraries in deployed robotic systems are continually updated through fine-tuning, fresh demonstrations, or domain adaptation, yet existing typed-composition methods (BLADE, SymSkill, Generative…

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Engineering Preprint PDF DOI

Exploring Converter Control Duality in Microgrids: AC Grid-Forming vs DC Droop Control

Jovan Krajacic, Ognjen Stanojev, Mario Schweizer, Orcun Karaca, Gabriela Hug, Vladan Lazarevic · 2026

Power electronic converters are fundamental building blocks of both AC and DC microgrids, enabling the integration of renewable energy sources, energy storage systems, electronic loads, and electric v…

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Engineering Preprint PDF DOI

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models

Seongmin Kim, Daegyu Lee · 2026

Deploying a neuro-symbolic task planner on a new domain today requires significant manual effort: a domain expert must author relaxation and complementary rules, and hundreds of training problems must…

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Engineering Preprint PDF DOI

Learning to Route Electric Trucks Under Operational Uncertainty

Stavros Orfanoudakis, Ziyan Li, Ruixiao Yang, Nikolay Aristov, Pedro P. Vergara, Chuchu Fan, Elenna Dugundji · 2026

Electric truck operations require routing decisions that remain feasible under limited battery range, long charging times, travel and energy consumption, and competition for shared charging infrastruc…

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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 · 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 nu…

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Engineering Preprint PDF DOI

Alter-Art: Exploring Embodied Artistic Creation through a Robot Avatar

Do Won Park, Samuele Bordini, Giorgio Grioli, Manuel G. Catalano, Antonio Bicchi · 2026

As with every emerging technology, new tools in the hands of artists reshape the nature of artwork creation. Current frameworks for robotics in arts deploy the robot as an autonomous creator or a coll…

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Engineering Preprint PDF DOI

Risk-Aware Multi-Market Scheduling of Virtual Power Plants with Dynamic Network Tariffs

Lorenzo Zapparoli, Paul Fath, Blazhe Gjorgiev, Giovanni Sansavini · 2026

As the penetration of distributed energy resources (DERs) increases, harnessing their flexibility becomes critical for power system operations. Virtual power plants (VPPs) offer a promising solution. …

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Engineering Preprint PDF DOI

Accelerating Sparse Linear Solvers with an Optical Laser Processing Unit

Dan Gluck, Yotam Mimran, Andrey Karenskih, Talya Vaknin, Omri Wolf, Ruti Ben-Shlomi, Johannes Gebert · 2026

Solving large, sparse linear systems is a fundamental workload in scientific computing and engineering simulations, often dominating runtime and energy consumption in high-performance computing (HPC) …

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Engineering Preprint PDF DOI

Real-Time Minimum-Energy Operating-Point Tracking for Battery-Powered Micro DC Motors Under Dynamically Variable Loading

Tzu-Hsiang Huang, Haojian Lu, Hen-Wei Huang, Tan Rong · 2026

Micro DC brushed motors are widely deployed in battery-powered biomedical systems, where limited energy budgets and variable physiological loading impose stringent efficiency and safety constraints. H…

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Engineering Preprint PDF DOI

Optimizing Tracking Accuracy in Energy-Constrained Multimodal ISAC via Lyapunov-Driven Heterogeneous Mixture-of-Experts

Wenqi Fan, Ning Wei, Ahmad Bazzi, Rongyan Xi, Zhixian Song, You Li, Zhihan Zeng, Yue Xiu, Chadi Assi · 2026

The integration of multimodal sensing and millimeter-wave (mmWave) communications is a key enabler for highly mobile vehicle-to-infrastructure (V2I) networks. However, continuous high-resolution visua…

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Engineering Preprint PDF DOI

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control

Ankur Kamboj, Biswadip Dey, Vaibhav Srivastava · 2026

We develop a physics-informed learning framework for energy-shaping control of port-Hamiltonian (pH) systems from trajectory data. The proposed approach {co-learns} a pH system model and an optimal en…

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Engineering Preprint PDF DOI

Application of Deep Reinforcement Learning to Event-Triggered Control for Networked Artificial Pancreas Systems

Junya Ikemoto, Satoshi Maruyama, Kazumune Hashimoto · 2026

This paper proposes a deep reinforcement learning (DRL)-based event-triggered controller design for networked artificial pancreas (AP) systems. Although existing DRL-based AP controllers typically ass…

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Engineering Preprint PDF DOI

Backstepping Observer for the Quasilinear Heat Equation with Linear Design Gains: Beyond Local Stability

Mohamed Camil Belhadjoudja, Kirsten A. Morris · 2026

We consider the one-dimensional quasilinear heat equation with state-dependent heat capacity and thermal conductivity, and design a boundary-output observer based on the backstepping design for a line…

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