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Showing 1995 results for "mile gu" in Engineering
Engineering Preprint PDF DOI

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

Seongmin Kim, Daegyu Lee ยท 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 mustโ€ฆ

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Engineering Preprint PDF DOI

Reachability Analysis of the State Transition and State Covariance Matrices for an LTV System

Fengjiao Liu, Yixiao Zhang, Panagiotis Tsiotras ยท 2026

In this paper, we study the reachability of two closely related matrices appearing in the analysis of linear time-varying (LTV) systems over a finite time interval, namely, its closed-loop state transโ€ฆ

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Engineering Preprint PDF DOI

OpenPodcar2: a robust, ROS2 vehicle for self-driving research

Rakshit Soni, Chris Waltham, Md Umar Ibrahim, Mark Crampton, Charles Fox ยท 2026

OpenPodcar2 is a robust, ROS2-interfaced, low-cost, open source hardware and software, autonomous vehicle platform based on an off-the-shelf, hard-canopy, mobility scooter donor vehicle. It is a modifโ€ฆ

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Engineering Preprint PDF DOI

Sparsity-Aware Event-Driven Impulse Radio Transceivers for Reliable Neuromorphic Inference

Zhengzhong Guan, Jiaying Li, Kanghua Li, Bojun Cheng, Hong Xing ยท 2026

The growing number of Internet-of-Things (IoT) based artificial intelligence (AI) applications deployed at resource-constrained network edge call for ultra-reliable and low-latency data processing pipโ€ฆ

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Engineering Preprint PDF DOI

Unsupervised Learning for AC Optimal Power Flow with Fast Physics-Aware Layer

Jiebao Zhang, Haoyu Yan, Haoyu Wang, Ye Shi, Zhichao Sheng, Hongwen Yu, Shuang Ye, Zhifang Yang ยท 2026

Learning to solve the Alternating Current Optimal Power Flow (AC-OPF) problem by neural networks (NNs) is a promising approach in real-time applications. Existing methods to ensure the physical feasibโ€ฆ

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Engineering Preprint PDF DOI

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

Yanze Xu, Wenwu Wang, Mark D. Plumbley ยท 2026

Neural networks can be trained to learn task-relevant representations from data. Understanding how these networks make decisions falls within the Explainable AI (XAI) domain. This paper proposes to stโ€ฆ

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Engineering Preprint PDF DOI

A Vehicle Routing Problem for Human-Centered Electric Mobility

Mostafa Emam, Bjorn Martens, Thomas Rottmann, Matthias Gerdts ยท 2026

In this paper, we present the Electric Mobility Dial-a-Ride Problem (EM-DARP), which extends the Electric Vehicle Dial-a-Ride Problem (EV-DARP) to better accommodate human-focused mobility services. Tโ€ฆ

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Engineering Preprint PDF DOI

MTT-Bench: Predicting Social Dominance in Mice via Multimodal Large Language Models

Yunquan Chen, Haoyu Chen ยท 2026

Understanding social dominance in animal behavior is critical for neuroscience and behavioral studies. In this work, we explore the capability of Multimodal Large Language Models(MLLMs) to analyze rawโ€ฆ

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Engineering Preprint PDF DOI

A Multi-Stage Warm-Start Deep Learning Framework for Unit Commitment

Muhy Eddin Za'ter, Anna Van Boven, Bri-Mathias Hodge, Kyri Baker ยท 2026

Maintaining instantaneous balance between electricity supply and demand is critical for reliability and grid instability. System operators achieve this through solving the task of Unit Commitment (UC)โ€ฆ

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A Characterization of Integral Input-to-state Stability for Hybrid Systems with Memory

Wenbang Wang, Neng Li, Wei Ren ยท 2026

This paper addresses characterizations of Integral Input-to-State Stability (iISS) for hybrid systems with memory. Based on the Krasovskii approach, a novel Lyapunov characterization of iISS is establโ€ฆ

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Trajectory-Based Optimization for Air Traffic Control in the Terminal Maneuvering Area

Yutian Pang, Daniel Delahaye, John-Paul Clarke ยท 2026

We present a trajectory-based optimization framework for arrival sequencing and scheduling in the terminal maneuvering area (TMA). Unlike node-link scheduling models that reduce trajectories to time-dโ€ฆ

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VIDS: A Verified Imaging Dataset Standard for Medical AI

Joan S. Muthu, John Shalen ยท 2026

Medical imaging AI development is fundamentally dependent on annotated datasets, yet no existing standard provides machine-enforceable validation across dataset structure, annotation provenance, qualiโ€ฆ

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Engineering Preprint PDF DOI

Enabling Safety-Critical Wireless Communications via Safe Reinforcement Learning

Haoran Peng, Tong Wu, Hang Liu, Weijia Zheng, Ying-Jun Angela Zhang, Anna Scaglione ยท 2026

Ensuring strict safety guarantees is the paramount challenge for emerging 5G/6G wireless systems, particularly as they increasingly govern mission-critical applications ranging from autonomous UAV swaโ€ฆ

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Uncertainty-based perturb and observe for data-driven optimization

Leontine Aarnoudse, Mark Haring, Nathan van de Wouw, Alexey Pavlov ยท 2026

Data-based adaptive optimization methods hold great promise for the performance optimization of uncertain, time-varying processes. However, current methods are often based on continuous perturbation wโ€ฆ

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Enhanced Optimal Power Flow Using a Trained Neural Network Surrogate for Distribution Grid Constraints

Savvas Panagi, Chrysovalantis Spanias, Petros Aristidou ยท 2026

The growing penetration of distributed energy resources (DERs), electric vehicles (EVs), and heat pumps (HPs) in distribution networks underscores the need for secure, computationally efficient optimaโ€ฆ

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Data-Driven Observers Design for Descriptor Systems

Yuan Zhang, Yu Wang, Keke Huang, Zhongqi Sun, Tyrone Fernando ยท 2026

State estimation constitutes a core task in monitoring, supervision, and control of dynamic systems. This paper proposes a data-driven framework for the design of state observers for descriptor systemโ€ฆ

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Engineering Preprint PDF DOI

Data-adaptive spline surfaces for non-separable hyperelastic energy functions

Simon Wiesheier, Miguel Angel Moreno-Mateos, Paul Steinmann ยท 2026

Invariant-based models for incompressible isotropic hyperelasticity are typically formulated as functions of the first and second invariants, $W = W(\bar{I}_1, \bar{I}_2)$. A widely used class of modeโ€ฆ

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Engineering Preprint PDF DOI

On the Existence of Quadratic Control Lyapunov Functions for Koopman-Operator based Bilinear Systems

Sami Leon Noel Aziz Hanna, Nicolas Hoischen, Sandra Hirche, Armin Lederer ยท 2026

Koopman operator-based methods enable data-driven bilinear representations of unknown nonlinear control systems. Accurate representations often demand significantly higher dimensions than the originalโ€ฆ

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Engineering Preprint PDF DOI

Linear Feedback Controller for Homogeneous Polynomial Systems

Shaoxuan Cui, Qi Zhao, Guanlin Li, Hildeberto Jardon Kojakhmetov, Ming Cao ยท 2026

This paper studies stabilization and its corresponding closed-loop region-of-attraction (ROA) for homogeneous polynomial dynamical systems whose nonlinear term admits an orthogonally decomposable (ODEโ€ฆ

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TSO-DSO Coordinated Reactive Power Dispatch for Smart Inverters with Multiple Control Modes Real-Time Implementation

Mohammad Almomani, Ahmed Alkhonain, Venkataramana Ajjarapu ยท 2026

This paper presents TSO-DSO coordinated reactive power dispatch, with a focus on real-time implementation. A sensitivity-aware, mixed-integer linear programming (MILP) formulation is developed to modeโ€ฆ

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