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๐Ÿ” david roe ๐Ÿ“‚ Engineering
Showing 673 results for "david roe" in Engineering
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 ยท 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 visuaโ€ฆ

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Engineering Preprint PDF DOI

SPG-Codec: Exploring the Role and Boundaries of Semantic Priors in Ultra-Low-Bitrate Neural Speech Coding

Mingyu Zhao, Zijian Lin, Kun Wei, Zhiyong Wu ยท 2026

Conventional neural speech codecs suffer from severe intelligibility degradation at ultra-low bitrates, where the bottleneck transitions from acoustic distortion to semantic loss. To address this issuโ€ฆ

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Engineering Preprint PDF DOI

The role of physical models in the validation and calibration of numerical models -- The example of the Lilleb{\ae}lt Bridge

Paula Apollonia Wunderlich, Gledson Rodrigo Tondo, Guido Morgenthal ยท 2026

With the rapid advancement of computer technologies enabling fast calculations of complex structures, numerical methods have become a central tool in engineering sciences, while physical models have iโ€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

Agent-Centric Visual Reinforcement Learning under Dynamic Perturbations

Zhengru Fang, Yu Guo, Fei Liu, Yuang Zhang, Yihang Tao, Senkang Hu, Wenbo Ding, Yuguang Fang ยท 2026

Visual reinforcement learning aims to empower an agent to learn policies from visual observations, yet it remains vulnerable to dynamic visual perturbations, such as unpredictable shifts in corruptionโ€ฆ

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Engineering Preprint PDF DOI

Quadruped Parkour Learning: Sparsely Gated Mixture of Experts with Visual Input

Michael Ziegltrum, Jianhao Jiao, Tianhu Peng, Chengxu Zhou, Dimitrios Kanoulas ยท 2026

Robotic parkour provides a compelling benchmark for advancing locomotion over highly challenging terrain, including large discontinuities such as elevated steps. Recent approaches have demonstrated imโ€ฆ

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Engineering Preprint PDF DOI

Coordinated Dynamic Operating Envelopes for Unlocking Additional Flexibility at Grid Edge

Ali Jalilian, Deepjyoti Deka, Md. Umar Hashmi, Dirk Van Hertem ยท 2026

Dynamic operating envelopes (DOEs) provide a systematic framework to integrate the flexibility of distribution grid resources while safeguarding network limits such as line ratings and voltage bounds.โ€ฆ

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Engineering Preprint PDF DOI

Symmetry Is Almost All You Need: Robust Stability with Uncertainty Induced by Symmetric SRG Regions

Ding Zhang, Di Zhao, Philipp Braun, Jianqi Chen ยท 2026

This paper investigates the robust stability problem of a feedback system in the presence of uncertainties induced by graphical regions in the plane where the scaled relative graphs (SRGs) reside. Ourโ€ฆ

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Engineering Preprint PDF DOI

Tree Learning: A Multi-Skill Continual Learning Framework for Humanoid Robots

Yifei Yan, Linqi Ye ยท 2026

As reinforcement learning for humanoid robots evolves from single-task to multi-skill paradigms, efficiently expanding new skills while avoiding catastrophic forgetting has become a key challenge in eโ€ฆ

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Engineering Preprint PDF DOI

Compositional-Degradation UAV Image Restoration: Conditional Decoupled MoE Network and A Benchmark

Jinquan Yan, Zhicheng Zhao, Zhengzheng Tu, Chenglong Li, Jin Tang, Bin Luo ยท 2026

UAV images are critical for applications such as large-area mapping, infrastructure inspection, and emergency response. However, in real-world flight environments, a single image is often affected by โ€ฆ

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Engineering Preprint PDF DOI

A H.265/HEVC Fine-Grained ROI Video Encryption Algorithm Based on Coding Unit and Prompt Segmentation

Xiang Zhang, Haoyan Lu, Ziqiang Li, Ziwen He, Zhenshan Tan, Fei Peng, Zhangjie Fu ยท 2026

ROI (Region of Interest) video selective encryption based on H.265/HEVC is a technology that protects the sensitive regions of videos by perturbing the syntax elements associated with target areas. Hoโ€ฆ

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Engineering Preprint PDF DOI

Heterogeneous Mixture-of-Experts for Energy-Efficient Multimodal ISAC in Highly Mobile Networks

Wenqi Fan, Ning Wei, Rongyan Xi, Ahmad Bazzi, Yue Xiu, Chadi Assi, Jing Dong, Jing Jin ยท 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 visuaโ€ฆ

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Engineering Preprint PDF DOI

To Defer or To Shift? The Role of AI Data Center Flexibility on Grid Interconnection

Yize Chen, Xiaogui Zheng ยท 2026

The integration of AI data centers into power grid represents one of the most emerging and complex challenges for the energy systems. As computational demand scales at an unprecedented rate, the tradiโ€ฆ

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Engineering Preprint PDF DOI

ARIQA-3DS: A Stereoscopic Image Quality Assessment Dataset for Realistic Augmented Reality

Aymen Sekhri, Seyed Ali Amirshahi, Mohamed-Chaker Larabi ยท 2026

As Augmented Reality (AR) technologies advance towards immersive consumer adoption, the need for rigorous Quality of Experience (QoE) assessment becomes critical. However, existing datasets often lackโ€ฆ

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Engineering Preprint PDF DOI

V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views

Junwei You, Pei Li, Zhuoyu Jiang, Weizhe Tang, Zilin Huang, Rui Gan, Jiaxi Liu, Yan Zhao, Sikai Chen, Bin Ran ยท 2026

Multimodal large language models (MLLMs) have shown strong potential for autonomous driving, yet existing benchmarks remain largely ego-centric and therefore cannot systematically assess model performโ€ฆ

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Engineering Preprint PDF DOI

Play-Testing REMind: Evaluating an Educational Robot-Mediated Role-Play Game

Elaheh Sanoubari, Neil Fernandes, Keith Rebello, Alicia Pan, Andrew Houston, Kerstin Dautenhahn ยท 2026

This paper presents REMind, an innovative educational robot-mediated role-play game designed to support anti-bullying bystander intervention among children. REMind invites players to observe a bullyinโ€ฆ

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Engineering Preprint PDF DOI

From Net Load Modifiers to Firm Capacity: The Role of Distributed Energy Resources in Resource Adequacy

Yujia Li, Alexandre Moreira, Miguel Heleno ยท 2026

Distributed energy resources (DERs) such as rooftop solar, battery storage, and demand response offer substantial potential for power system reliability, yet integrating them into resource adequacy (Rโ€ฆ

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Engineering Preprint PDF DOI

CROSS: A Mixture-of-Experts Reinforcement Learning Framework for Generalizable Large-Scale Traffic Signal Control

Xibei Chen, Yifeng Zhang, Yuxiang Xiao, Mingfeng Fan, Maonan Wang, Guillaume Sartoretti ยท 2026

Recent advances in robotics, automation, and artificial intelligence have enabled urban traffic systems to operate with increasing autonomy towards future smart cities, powered in part by the developmโ€ฆ

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Engineering Preprint PDF DOI

PCHC: Enabling Preference Conditioned Humanoid Control via Multi-Objective Reinforcement Learning

Huanyu Li, Dewei Wang, Xinmiao Wang, Xinzhe Liu, Peng Liu, Chenjia Bai, Xuelong Li ยท 2026

Humanoid robots often need to balance competing objectives, such as maximizing speed while minimizing energy consumption. While current reinforcement learning (RL) methods can master complex skills liโ€ฆ

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Engineering Preprint PDF DOI

Trajectory Generation for Underactuated Soft Robot Manipulators using Discrete Elastic Rod Dynamics

Beibei Liu, Akua K. Dickson, Ran Jing, Andrew P. Sabelhaus ยท 2026

Soft robots are well suited for contact-rich tasks due to their compliance, yet this property makes accurate and tractable modeling challenging. Planning motions with dynamically-feasible trajectoriesโ€ฆ

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