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🔍 mark reynolds 📂 Engineering
Showing 1088 results for "mark reynolds" in Engineering
Engineering Preprint PDF DOI

Sequential Inference for Gaussian Processes: A Signal Processing Perspective

Daniel Waxman, Fernando Llorente, Petar M. Djuric · 2026

The proliferation of capable and efficient machine learning (ML) models marks one of the strongest methodological shifts in signal processing (SP) in its nearly 100-year history. ML models support the…

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Engineering Preprint PDF DOI

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning

Kanghoon Lee, Matthew M. Sato, Jinnyeong Yang, Seungro Lee, Sujin Lee, Jiachen Li, Kuk-Jin Yoon, Jinkyoo Park, Kincho H. Law, Yoonjin Yoon · 2026

Monitoring human activity in indoor environments is important for applications such as facility management, safety assessment, and space utilization analysis. While mobile robot teams offer the potent…

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Engineering Preprint PDF DOI

Mask World Model: Predicting What Matters for Robust Robot Policy Learning

Yunfan Lou, Xiaowei Chi, Xiaojie Zhang, Zezhong Qian, Chengxuan Li, Rongyu Zhang, Yaoxu Lyu, Guoyu Song, Chuyao Fu, Haoxuan Xu, Pengwei Wang, Shanghang Zhang · 2026

World models derived from large-scale video generative pre-training have emerged as a promising paradigm for generalist robot policy learning. However, standard approaches often focus on high-fidelity…

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Engineering Preprint PDF DOI

Self-Noise Reduction for Capacitive Sensors via Photoelectric DC Servo: Application to Condenser Microphones

Hirotaka Obo, Atsushi Tsuchiya, Tadashi Ebihara, Naoto Wakatsuki · 2026

The self-noise of capacitive sensors, primarily caused by thermal noise from the gate-bias resistor in the preamplifier, imposes a fundamental limit on measurement sensitivity. In electret condenser m…

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Engineering Preprint PDF DOI

Symbol-Level Mask-Compliant Hybrid Precoding for Multi-User MIMO-OFDM Systems

Navid Reyhanian, Parisa Ramezani, Emil Bjornson · 2026

Millimeter-wave (mmWave) technology is a crucial enabler for next-generation networks because it offers substantially greater available bandwidth. mmWave multiple-input multiple-output (MIMO) systems …

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Engineering Preprint PDF DOI

Nonlinear Stochastic Density Steering via Gaussian Mixture Schrodinger Bridges and Multiple Linearizations

Mattia Mosso, George Rapakoulias, Yue Guan, Panagiotis Tsiotras · 2026

The paper studies the optimal density steering problem for nonlinear continuous-time stochastic systems. To accurately capture nonlinear dynamics in high-uncertainty regions that deviate significantly…

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Engineering Preprint PDF DOI

Load constrained wind farm flow control through multi-objective multi-agent reinforcement learning

Teodor {AA}strand, Marcus Binder Nilsen, Iasonas Tsaklis, Tuhfe Gocmen, Pierre-Elouan Rethore, Nikolay Dimitrov · 2026

This study presents a multi-agent reinforcement learning (MARL) framework for load-constrained wind farm flow control (WFFC). While wake steering can enhance total wind farm power, it often introduces…

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Engineering Preprint PDF DOI

AMO-ENE: Attention-based Multi-Omics Fusion Model for Outcome Prediction in Extra Nodal Extension and HPV-associated Oropharyngeal Cancer

Gautier Henique, William Le, Gabriel Dayan, Coralie Brodeur, Kristoff Nelson, Apostolos Christopoulos, Edith Filion, Phuc-Felix Nguyen-Tan, Laurent Letourneau-Guillon, Houda Bahig, Samuel Kadoury · 2026

Extranodal extension (ENE) is an emerging prognostic factor in human papillomavirus (HPV)-associated oropharyngeal cancer (OPC), although it is currently omitted as a clinical staging criteria. Recent…

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Engineering Preprint PDF DOI

PSIRNet: Deep Learning-based Free-breathing Rapid Acquisition Late Enhancement Imaging

Arda Atalik, Hui Xue, Rhodri H. Davies, Thomas A. Treibel, Daniel K. Sodickson, Michael S. Hansen, Peter Kellman · 2026

Purpose: To develop and evaluate a deep learning (DL) method for free-breathing phase-sensitive inversion recovery (PSIR) late gadolinium enhancement (LGE) cardiac MRI that produces diagnostic-quality…

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Engineering Preprint PDF DOI

MARS-Dragonfly: Agile and Robust Flight Control of Modular Aerial Robot Systems

Rui Huang, Zhiqian Cai, Siyu Tang, Pengxuan Wei, Lidong Li, Xin Chen, Wenhan Cao, Zhenyu Zhang, Lin Zhao · 2026

Modular Aerial Robot Systems (MARS) comprise multiple drone units with reconfigurable connected formations, providing high adaptability to diverse mission scenarios, fault conditions, and payload capa…

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Engineering Preprint PDF DOI

VA-FastNavi-MARL: Real-Time Robot Control with Multimedia-Driven Meta-Reinforcement Learning

Yang Zhang, Shengxi Jing, Fengxiang Wang, Yuan Feng, Hong Wang · 2026

Interpreting dynamic, heterogeneous multimedia commands with real-time responsiveness is critical for Human-Robot Interaction. We present VA-FastNavi-MARL, a framework that aligns asynchronous audio-v…

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Engineering Preprint PDF DOI

Reinforcement Learning-Based Energy Management for Industrial Park with Heterogeneous Batteries under Demand Response

Meng Yuan, Tinghui Yan, Zhezhuang Xu · 2026

The integration of photovoltaic (PV) systems, stationary energy storage systems (ESSs), and electric vehicles (EVs) alongside demand response (DR) programmes in industrial parks presents opportunities…

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Engineering Preprint PDF DOI

Amalgamation of Physics-Informed Neural Network and LBM for the Prediction of Unsteady Fluid Flows in Fractal-Rough Microchannels

Ganesh Sahadeo Meshram, Partha Pratim Chakrabarti, Suman Chakraborty · 2026

One of the biggest challenges in the optimization of micro-scale fluid transport phenomena is the prediction of unsteady fluid flow in the presence of rough channel walls. Even though the accuracy of …

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Engineering Preprint PDF DOI

A Computational Framework for Cross-Domain Mission Design and Onboard Cognitive Decision Support

J. de Curto, Adrianne Schneider, Ricardo Yanez, Maria Begara, Alvaro Rodriguez, Javier Lopez, Martina Fraga, Ignacio Gomez, Arman Akdag, Sumit Kulkarni, Siddhant Nair, Kiyan Govender, Eian Wratchford, Eli Lynskey, Seamus Dunlap, Cooper Nervick, Nicolas Tete, Rocio Fernandez, Pablo Gonzalez, Elena Municio, I. de Zarza · 2026

The design of distributed autonomous systems for operation beyond reliable ground contact presents a fundamental tension: as round-trip communication latency grows, the set of decisions delegable to g…

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Engineering Preprint PDF DOI

Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing

Alex Zongo, Filippos Fotiadis, Ufuk Topcu, Peng Wei · 2026

We address robust separation assurance for small Unmanned Aircraft Systems (sUAS) under GPS degradation and spoofing via Multi-Agent Reinforcement Learning (MARL). In cooperative surveillance, each ai…

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Engineering Preprint PDF DOI

Multi-AUV Ad-hoc Networks-Based Multi-Target Tracking Based on Scene-Adaptive Embodied Intelligence

Kai Tian, Jialun Wang, Chuan Lin, Guangjie Han, Shengchao Zhu, Ying Liu, Qian Zhu · 2026

With the rapid advancement of underwater net-working and multi-agent coordination technologies, autonomous underwater vehicle (AUV) ad-hoc networks have emerged as a pivotal framework for executing co…

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Engineering Preprint PDF DOI

SafeGuard ASF: SR Agentic Humanoid Robot System for Autonomous Industrial Safety

Thanh Nguyen Canh, Thang Tran Viet, Thanh Tuan Tran, Ben Wei Lim · 2026

The rise of unmanned ``dark factories'' operating without human presence demands autonomous safety systems capable of detecting and responding to multiple hazard types. We present SafeGuard ASF (Agent…

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Engineering Preprint PDF DOI

COIN: Collaborative Interaction-Aware Multi-Agent Reinforcement Learning for Self-Driving Systems

Yifeng Zhang, Jieming Chen, Tingguang Zhou, Tanishq Duhan, Jianghong Dong, Yuhong Cao, Guillaume Sartoretti · 2026

Multi-Agent Self-Driving (MASD) systems provide an effective solution for coordinating autonomous vehicles to reduce congestion and enhance both safety and operational efficiency in future intelligent…

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Engineering Preprint PDF DOI

LATS: Large Language Model Assisted Teacher-Student Framework for Multi-Agent Reinforcement Learning in Traffic Signal Control

Yifeng Zhang, Peizhuo Li, Tingguang Zhou, Mingfeng Fan, Guillaume Sartoretti · 2026

Adaptive Traffic Signal Control (ATSC) aims to optimize traffic flow and minimize delays by adjusting traffic lights in real time. Recent advances in Multi-agent Reinforcement Learning (MARL) have sho…

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Engineering Preprint PDF DOI

Decentralized End-to-End Multi-AAV Pursuit Using Predictive Spatio-Temporal Observation via Deep Reinforcement Learning

Yude Li, Zhexuan Zhou, Huizhe Li, Yanke Sun, Yenan Wu, Yichen Lai, Yiming Wang, Youmin Gong, Jie Mei · 2026

Decentralized cooperative pursuit in cluttered environments is challenging for autonomous aerial swarms, especially under partial and noisy perception. Existing methods often rely on abstracted geomet…

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