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๐Ÿ” grant ayers ๐Ÿ“‚ Engineering
Showing 2731 results for "grant ayers" in Engineering
Engineering Preprint PDF DOI

ANCHOR: A Physically Grounded Closed-Loop Framework for Robust Home-Service Mobile Manipulation

Jinhao Jiang, Shengyu Fang, Sibo Zuo, Yujie Tang, Yirui Li ยท 2026

Recent advances in open-vocabulary mobile manipulation have brought robots into real domestic environments. In such settings, reliable long-horizon execution under open-set object references and frequโ€ฆ

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Engineering Preprint PDF DOI

$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills

Siyao Xiao, Yuhong Zhang, Zhifang Liu, Zihan Gao, Jingye Zhang, Sinwai Choo, Dake Zhong, Mengzhe Wang, Xiao Lin, Xianfeng Zhou, Jia Jia, Haoqian Wang ยท 2026

Current Vision-Language-Action (VLA) models predominantly rely on end-to-end fine-tuning. While effective, this paradigm compromises the inherent generalization capabilities of Vision-Language Models โ€ฆ

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Engineering Preprint PDF DOI

CRC-SAM: SAM-Based Multi-Modal Segmentation and Quantification of Colorectal Cancer in CT, Colonoscopy, and Histology Images

Daniel Lao ยท 2026

We present CRC-SAM, a unified framework for colorectal cancer segmentation across colonoscopy, CT, and histopathology images. Unlike prior single-modality methods, CRC-SAM provides consistent, modalitโ€ฆ

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Engineering Preprint PDF DOI

Selective Depthwise Separable Convolution for Lightweight Joint Source-Channel Coding in Wireless Image Transmission

Ming Ye, Kui Cai, Cunhua Pan, Zhen Mei, Wanting Yang, Chunguo Li ยท 2026

Depthwise separable convolutional (DSConv) layers have been successfully applied to deep learning (DL)-based joint source-channel coding (JSCC) schemes to reduce computational complexity. However, a sโ€ฆ

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Engineering Preprint PDF DOI

DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction

Shiyan Su, Ruyi Zha, Danli Shi, Hongdong Li, Xuelian Cheng ยท 2026

Neural representations (NRs), such as neural fields and 3D Gaussians, effectively model volumetric data in computed tomography (CT) but suffer from severe artifacts under sparse-view settings. To addrโ€ฆ

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Engineering Preprint PDF DOI

Scaling of Gaussian Kolmogorov--Arnold Networks

Amir Noorizadegan, Sifan Wang ยท 2026

The Gaussian scale parameter \(\epsilon\) is central to the behavior of Gaussian Kolmogorov--Arnold Networks (KANs), yet its role in deep edge-based architectures has not been studied systematically. โ€ฆ

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Engineering Preprint PDF DOI

Wildfires Quasi-Implicit Alternative-Direction Simulations using Isogeometric Finite Element Method

Juliusz Wasieleski, Tomasz S{l}uzalec, Maciej Wozniak, Marcin {L}os, Andres Medina, Paulina Sepulveda, Albert Oliver Serra, Eirik Valseth, Anna Paszynska, Maciej Paszynski ยท 2026

We develop a wildfire simulation model that evolves the temperature scalar field using an energy balance equation accounting for heat generation, transport, and loss. For these equations, we develop qโ€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

A Novel Piecewise Atmospheric Attenuation Model for Free Space Optical Links in Vertical Heterogeneous Networks

Eylem Erdogan, Mohammed Elamassie, Ibrahim Altunbas, Gunes Karabulut Kurt, Murat Uysal, Halim Yanikomeroglu ยท 2026

Free-space optical (FSO) communication is emerging as a key backhaul technology for next-generation vertical heterogeneous networks (VHetNets), whose architecture spans satellites, high-altitude platfโ€ฆ

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Engineering Preprint PDF DOI

Geometry-Aware Networking for Low-Altitude Economy: Movable Antennas in Space-Air-Ground Integrated Systems

Heyou Liu, Bang Huang, Mohamed-Slim Alouini ยท 2026

Space--air--ground integrated networks (SAGINs) are emerging as a key foundation for future non-terrestrial networks (NTNs) and low-altitude economy services. However, their performance is increasinglโ€ฆ

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Engineering Preprint PDF DOI

Path-Based Quantum Meta-Learning for Adaptive Optimization of Reconfigurable Intelligent Surfaces

Noha Hassan, Xavier Fernando, Halim Yanikomeroglu ยท 2026

Reconfigurable intelligent surfaces (RISs) modify signal reflections to enhance wireless communication capabilities. Classical RIS phase optimization is highly non convex and challenging in dynamic enโ€ฆ

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Engineering Preprint PDF DOI

A Universal Systematic Method to Generate Error Patterns on Memoryless Channels

Marwan Jalaleddine, Jiajie Li, Syed Mohsin Abbas, Warren J. Gross ยท 2026

The high computational cost of approaching the performance of Maximum-likelihood (ML) decoding has limited its practical use for decades. Because the complexity grows exponentially with the message leโ€ฆ

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Engineering Preprint PDF DOI

Early Exiting U-Net for Efficient Processing on UAVs: A Case Study in Environmental Monitoring

Luca Sartori Boni, Mohamed Moursi, Norbert Wehn, Bilal Hammoud ยท 2026

Oil spills represent a severe threat, making early-stage thickness estimation crucial for guiding remediation efforts. Unmanned Aerial Vehicles (UAVs) are an attractive platform for environmental moniโ€ฆ

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Engineering Preprint PDF DOI

Low-Complexity, Space Splitting-based User Selection in MU-MIMO for Massive Connectivity and AI-Native Traffic

Joao Paulo S. H. Lima, Marcin L. Filo, Chathura Jayawardena, Konstantinos Nikitopoulos ยท 2026

The rise of Artificial Intelligence (AI)-driven services, machine-type communications, and massive Internet of Things (IoT) deployments is reshaping wireless traffic toward dense, uplink-oriented, burโ€ฆ

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Engineering Preprint PDF DOI

Integrated Routing and Intersection Control for Mixed Traffic

Filippos N. Tzortzoglou, Pengbo Zhu, Andreas A. Malikopoulos ยท 2026

The rapid development of cyber-physical systems is driving a transition toward mixed traffic environments comprising both human-driven and connected and automated vehicles (CAVs). This shift presents โ€ฆ

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Engineering Preprint PDF DOI

Joint Activity Detection and Channel Estimation for Massive Random Access Using SBL and SCA

Esa Ollila, Majdoddin Esfandiari, Daniel P. Palomar ยท 2026

In massive machine-type communication (mMTC) applications, a key challenge is joint device activity detection and channel estimation (JADCE) under grant-free random access, as a massive number of deviโ€ฆ

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Engineering Preprint PDF DOI

An Ultra-Low Latency, End-to-End Streaming Speech Synthesis Architecture via Block-Wise Generation and Depth-Wise Codec Decoding

Tianhui Su, Tien-Ping Tan, Salima Mdhaffar, Yannick Esteve, Aghilas Sini ยท 2026

Real-time speech synthesis requires balancing inference latency and acoustic fidelity for interactive applications. Conventional continuous text-to-speech pipelines require computationally intensive nโ€ฆ

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Engineering Preprint PDF DOI

Multi-Axis Additive Manufacturing for Customized Automotive Components

Uzair Aziz Muhammad, Zheng Liu ยท 2026

The reproduction of automobile components through additive manufacturing presents significant geometric challenges, as many automotive parts feature complex, organically shaped surfaces that are diffiโ€ฆ

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Engineering Preprint PDF DOI

Layered Control of Partially Observed Stochastic Systems

Charis Stamouli, Anastasios Tsiamis, George J. Pappas ยท 2026

Layered control is essential for managing complexity in large-scale systems, employing progressively coarser models at higher layers. While significant advances have been made for fully observable sysโ€ฆ

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Engineering Preprint PDF DOI

Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image Generation

Lan Wei, Zongcai Tan, Kangyi Lu, Jian-Qing Zheng, Dandan Zhang ยท 2026

Optical microrobots actuated by optical tweezers (OT) are important for cell manipulation and microscale assembly, but their autonomous operation depends on accurate 3D perception. Developing such perโ€ฆ

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