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๐Ÿ” sam devlin ๐Ÿ“‚ Engineering
Showing 2174 results for "sam devlin" in Engineering
Engineering Preprint PDF DOI

Learning While Transmitting: Pilotless Polar Coded Modulation for Short Packet Transmission

Geon Choi, Namyoon Lee ยท 2026

Short packets make channel learning expensive. In pilot-aided transmission (PAT), a non-negligible fraction of the packet is consumed by pilots, creating a direct pre-log loss and tightening the reliaโ€ฆ

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Engineering Preprint PDF DOI

Hybrid F' and ROS2 Architecture for Vision-Based Autonomous Flight: Design and Experimental Validation

Abdelrahman Metwally, Monijesu James, Aleksey Fedoseev, Miguel Altamirano Cabrera, Dzmitry Tsetserukou, Andrey Somov ยท 2026

Autonomous aerospace systems require architectures that balance deterministic real-time control with advanced perception capabilities. This paper presents an integrated system combining NASA's F' fligโ€ฆ

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Engineering Preprint PDF DOI

OSCAR: An Ovipositor-Inspired Self-Propelling Capsule Robot for Colonoscopy

Mostafa A. Atalla, Anand S. Sekar, Remi van Starkenburg, David J. Jager, Aimee Sakes, Michael Wiertlewski, Paul Breedveld ยท 2026

Self-propelling robotic capsules eliminate shaft looping of conventional colonoscopy, reducing patient discomfort. However, reliably moving within the slippery, viscoelastic environment of the colon rโ€ฆ

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Engineering Preprint PDF DOI

Kalman Filtering Based Flight Management System Modeling for AAM Aircraft

Balram Kandoria, Aryaman Singh Samyal ยท 2026

Advanced Aerial Mobility (AAM) operations require strategic flight planning services that predict both spatial and temporal uncertainties to safely validate flight plans against hazards such as weatheโ€ฆ

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Engineering Preprint PDF DOI

Learning Part-Aware Dense 3D Feature Field for Generalizable Articulated Object Manipulation

Yue Chen, Muqing Jiang, Kaifeng Zheng, Jiaqi Liang, Chenrui Tie, Haoran Lu, Ruihai Wu, Hao Dong ยท 2026

Articulated object manipulation is essential for various real-world robotic tasks, yet generalizing across diverse objects remains a major challenge. A key to generalization lies in understanding funcโ€ฆ

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Engineering Preprint PDF DOI

Robust SAC-Enabled UAV-RIS Assisted Secure MISO Systems With Untrusted EH Receivers

Hamid Reza Hashempour, Le-Nam Tran, Duy H. N. Nguyen, Hien Quoc Ngo ยท 2026

This paper investigates secure downlink transmission in a UAV-assisted reconfigurable intelligent surface (RIS)-enabled multiuser multiple-input single-output network, where legitimate information-harโ€ฆ

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Engineering Preprint PDF DOI

ViPer NL-COMM: Making Vector Perturbation Precoding Practical

Thomas James Thomas, George N. Katsaros, Chathura Jayawardena, Konstantinos Nikitopoulos ยท 2026

Large MIMO systems rely on efficient downlink precoding to enhance data rates and improve connectivity through spatial multiplexing. However, currently employed linear precoding techniques, such as MMโ€ฆ

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Engineering Preprint PDF DOI

Benchmarking Deep Learning and Statistical Target Detection Methods for PFM-1 Landmine Detection in UAV Hyperspectral Imagery

Sagar Lekhak, Prasanna Reddy Pulakurthi, Ramesh Bhatta, Emmett J. Ientilucci ยท 2026

In recent years, unmanned aerial vehicles (UAVs) equipped with imaging sensors and automated processing algorithms have emerged as a promising tool to accelerate large-area surveys while reducing riskโ€ฆ

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Engineering Preprint PDF DOI

Learning to Select Like Humans: Explainable Active Learning for Medical Imaging

Ifrat Ikhtear Uddin, Longwei Wang, Xiao Qin, Yang Zhou, KC Santosh ยท 2026

Medical image analysis requires substantial labeled data for model training, yet expert annotation is expensive and time-consuming. Active learning (AL) addresses this challenge by strategically selecโ€ฆ

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Engineering Preprint PDF DOI

Personalized Autonomous Driving via Optimal Control with Clearance Constraints from Questionnaires

Yongjae Lim, Dabin Kim, H. Jin Kim ยท 2026

Driving without considering the preferred separation distance from surrounding vehicles may cause discomfort for users. To address this limitation, we propose a planning framework that explicitly incoโ€ฆ

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Engineering Preprint PDF DOI

Deep Neural Network Architectures for Electrocardiogram Classification: A Comprehensive Evaluation

Yun Song, Wenjia Zheng, Tiedan Chen, Ziyu Wang, Jiazhao Shi, Yisong Chen ยท 2026

With the rising prevalence of cardiovascular diseases, electrocardiograms (ECG) remain essential for the non-invasive detection of cardiac abnormalities. This study presents a comprehensive evaluationโ€ฆ

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Engineering Preprint PDF DOI

Force Generative Imitation Learning: Bridging Position Trajectory and Force Commands through Control Technique

Hiroshi Sato, Sho Sakaino, Toshiaki Tsuji ยท 2026

In contact-rich tasks, while position trajectories are often easy to obtain, appropriate force commands are typically unknown. Although it is conceivable to generate force commands using a pretrained โ€ฆ

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Bioinspired Kirigami Capsule Robot for Minimally Invasive Gastrointestinal Biopsy

Ruizhou Zhao, Yichen Chu, Shuwei Zhao, Wenchao Yue, Raymond Shing-Yan Tang, Hongliang Ren ยท 2026

Wireless capsule endoscopy (WCE) has transformed gastrointestinal (GI) diagnostics by enabling noninvasive visualization of the digestive tract, yet its diagnostic yield remains constrained by the absโ€ฆ

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Smart Diagnosis and Early Intervention in PCOS: A Deep Learning Approach to Women's Reproductive Health

Shayan Abrar, Samura Rahman, Ishrat Jahan Momo, Mahjabin Tasnim Samiha, B. M. Shahria Alam, Mohammad Tahmid Noor, Nishat Tasnim Niloy ยท 2026

Polycystic Ovary Syndrome (PCOS) is a widespread disorder in women of reproductive age, characterized by a hormonal imbalance, irregular periods, and multiple ovarian cysts. Infertility, metabolic synโ€ฆ

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Engineering Preprint PDF DOI

GeneralVLA: Generalizable Vision-Language-Action Models with Knowledge-Guided Trajectory Planning

Guoqing Ma, Siheng Wang, Zeyu Zhang, Shan Yu, Hao Tang ยท 2026

Large foundation models have shown strong open-world generalization to complex problems in vision and language, but similar levels of generalization have yet to be achieved in robotics. One fundamentaโ€ฆ

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Engineering Preprint PDF DOI

Towards Next-Generation SLAM: A Survey on 3DGS-SLAM Focusing on Performance, Robustness, and Future Directions

Li Wang, Ruixuan Gong, Yumo Han, Lei Yang, Lu Yang, Ying Li, Bin Xu, Huaping Liu, Rong Fu ยท 2026

Traditional Simultaneous Localization and Mapping (SLAM) systems often face limitations including coarse rendering quality, insufficient recovery of scene details, and poor robustness in dynamic envirโ€ฆ

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Engineering Preprint PDF DOI

Lyapunov Constrained Soft Actor-Critic (LC-SAC) using Koopman Operator Theory for Quadrotor Trajectory Tracking

Dhruv S. Kushwaha, Zoleikha A. Biron ยท 2026

Reinforcement Learning (RL) has achieved remarkable success in solving complex sequential decision-making problems. However, its application to safety-critical physical systems remains constrained by โ€ฆ

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AtlasPatch: Efficient Tissue Detection and High-throughput Patch Extraction for Computational Pathology at Scale

Ahmed Alagha, Christopher Leclerc, Yousef Kotp, Omar Metwally, Calvin Moras, Peter Rentopoulos, Ghodsiyeh Rostami, Bich Ngoc Nguyen, Jumanah Baig, Abdelhakim Khellaf, Vincent Quoc-Huy Trinh, Rabeb Mizouni, Hadi Otrok, Jamal Bentahar, Mahdi S. Hosseini ยท 2026

Whole-slide image (WSI) preprocessing, comprising tissue detection followed by patch extraction, is foundational to AI-driven computational pathology but remains a major bottleneck for scaling to largโ€ฆ

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MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction

Jung Min Lee, Dohyeok Lee, Seokhun Ju, Taehyun Cho, Jin Woo Koo, Li Zhao, Sangwoo Hong, Jungwoo Lee ยท 2026

Learning \emph{latent actions} from diverse human videos enables scaling robot learning beyond embodiment-specific robot datasets, and these latent actions have recently been used as pseudo-action labโ€ฆ

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Multi-Agent Monte Carlo Tree Search for Makespan-Efficient Object Rearrangement in Cluttered Spaces

Hanwen Ren, Junyong Kim, Aathman Tharmasanthiran, Ahmed H. Qureshi ยท 2026

Object rearrangement planning in complex, cluttered environments is a common challenge in warehouses, households, and rescue sites. Prior studies largely address monotone instances, whereas real-worldโ€ฆ

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