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Showing 41527 results for "machine learning" in Engineering
Engineering Preprint PDF DOI

CI-ICM: Channel Importance-driven Learned Image Coding for Machines

Yun Zhang, Junle Liu, Huan Zhang, Zhaoqing Pan, Gangyi Jiang, Weisi Lin ยท 2026

Traditional human vision-centric image compression methods are suboptimal for machine vision centric compression due to different visual properties and feature characteristics. To address this problemโ€ฆ

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ExpressMM: Expressive Mobile Manipulation Behaviors in Human-Robot Interactions

Souren Pashangpour, Haitong Wang, Matthew Lisondra, Goldie Nejat ยท 2026

Mobile manipulators are increasingly deployed in human-centered environments to perform tasks. While completing such tasks, they should also be able to communicate their intent to the people around thโ€ฆ

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Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection

Arjan Mahmuod, Adrian Rod Hammerstad, Muzaffar Yousef, Yngve Sebastian Heill, Jonas L. Isaksen, J{o}rgen K. Kanters, Pal Halvorsen, Vajira Thambawita ยท 2026

Deep learning models for atrial fibrillation (AF) detection are increasingly trained on heterogeneous electrocardiogram (ECG) datasets with varying sampling frequencies, yet the specific consequences โ€ฆ

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Engineering Preprint PDF DOI

Scalar Federated Learning for Linear Quadratic Regulator

Mohammadreza Rostami, Shahriar Talebi, Solmaz S. Kia ยท 2026

We propose ScalarFedLQR, a communication-efficient federated algorithm for model-free learning of a common policy in linear quadratic regulator (LQR) control of heterogeneous agents. The method buildsโ€ฆ

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Learning Kalman Policy for Singular Unknown Covariances via Riemannian Regularization

Larsen Bier, Shahriar Talebi ยท 2026

Kalman filtering is a cornerstone of estimation theory, yet learning the optimal filter under unknown and potentially singular noise covariances remains a fundamental challenge. In this paper, we reviโ€ฆ

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GaussFly: Contrastive Reinforcement Learning for Visuomotor Policies in 3D Gaussian Fields

Yuhang Zhang, Mingsheng Li, Yujing Shang, Zhuoyuan Yu, Chao Yan, Jiaping Xiao, Mir Feroskhan ยท 2026

Learning visuomotor policies for Autonomous Aerial Vehicles (AAVs) relying solely on monocular vision is an attractive yet highly challenging paradigm. Existing end-to-end learning approaches directlyโ€ฆ

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StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

StarVLA Community ยท 2026

Building generalist embodied agents requires integrating perception, language understanding, and action, which are core capabilities addressed by Vision-Language-Action (VLA) approaches based on multiโ€ฆ

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AnyUser: Translating Sketched User Intent into Domestic Robots

Songyuan Yang, Huibin Tan, Kailun Yang, Wenjing Yang, Shaowu Yang ยท 2026

We introduce AnyUser, a unified robotic instruction system for intuitive domestic task instruction via free-form sketches on camera images, optionally with language. AnyUser interprets multimodal inpuโ€ฆ

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Engineering Preprint PDF DOI

ROSClaw: A Hierarchical Semantic-Physical Framework for Heterogeneous Multi-Agent Collaboration

Rongfeng Zhao, Xuanhao Zhang, Zhaochen Guo, Xiang Shao, Zhongpan Zhu, Bin He, Jie Chen ยท 2026

The integration of large language models (LLMs) with embodied agents has improved high-level reasoning capabilities; however, a critical gap remains between semantic understanding and physical executiโ€ฆ

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Biologically Inspired Event-Based Perception and Sample-Efficient Learning for High-Speed Table Tennis Robots

Ziqi Wang, Jingyue Zhao, Xun Xiao, Jichao Yang, Yaohua Wang, Shi Xu, Lei Wang, Huadong Dai ยท 2026

Perception and decision-making in high-speed dynamic scenarios remain challenging for current robots. In contrast, humans and animals can rapidly perceive and make decisions in such environments. Takiโ€ฆ

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Activity Recognition Using mm-Wave Radar and Deep Learning: Prayer Tracker Case Study

Karim Saifullin, Sajid Ahmed, Mohamed-Slim Alouini ยท 2026

The issue of privacy has gained significant attention in recent times. Many real-world applications increasingly require the use of sensitive data, such as in surveillance or tracking and assistance sโ€ฆ

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PCT-Based Trajectory Tracking for Underactuated Marine Vessels

Ji-Hong Li ยท 2026

This paper investigates the trajectory tracking problem of underactuated marine vessels within a polar coordinate framework. By introducing two polar coordinate transformations (PCTs), the original twโ€ฆ

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DRL-Based Phase Optimization for O-RIS in Dual-Hop Hard-Switching FSO/RIS-aided RF and UWOC Systems

Aboozar Heydaribeni, Hamzeh Beyranvand, Sahar Eslami ยท 2026

This paper presents a dual-hop hybrid framework that integrates a free-space optical (FSO)/RIS-aided radio frequency (RF) link operating under a hard-switching protocol as the first hop, and an opticaโ€ฆ

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Veo-Act: How Far Can Frontier Video Models Advance Generalizable Robot Manipulation?

Zhongru Zhang, Chenghan Yang, Qingzhou Lu, Yanjiang Guo, Jianke Zhang, Yucheng Hu, Jianyu Chen ยท 2026

Video generation models have advanced rapidly and are beginning to show a strong understanding of physical dynamics. In this paper, we investigate how far an advanced video generation model such as Veโ€ฆ

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RAVEN: Radar Adaptive Vision Encoders for Efficient Chirp-wise Object Detection and Segmentation

Anuvab Sen, Mir Sayeed Mohammad, Saibal Mukhopadhyay ยท 2026

This paper presents RAVEN, a computationally efficient deep learning architecture for FMCW radar perception. The method processes raw ADC data in a chirp-wise streaming manner, preserves MIMO structurโ€ฆ

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A Process-Aware Demand Response Framework for Hydrogen-Integrated Zero-Carbon Steel Plants Coupled with Methanol Production

Qiang Ji, Lin Cheng, Yue Zhou, Ning Qi, Kaidi Huang, Jianzhong Wu, Ming Cheng ยท 2026

The integration of the high penetration of intermittent renewable energy sources (RES) and the retirement of thermal units have significantly aggravated the flexibility scarcity and real-time balancinโ€ฆ

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Generative modeling of granular flow on inclined planes using conditional flow matching

Xuyang Li, Rui Li, Teng Man, Yimin Lu ยท 2026

Granular flows govern many natural and industrial processes, yet their interior kinematics and mechanics remain largely unobservable, as experiments access only boundaries or free surfaces. Conventionโ€ฆ

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Modeling and Analysis of Air-to-Ground Cellular KPIs in a 5G Testbed using Android Smartphones

Simran Singh, An{i}l Gurses, Ozgur Ozdemir, Ram Asokan, Mihail L. Sichitiu, Ismail Guvenc, Rudra Dutta, Magreth Mushi ยท 2026

The integration of cellular communication with Unmanned Aerial Vehicles (UAVs) extends the range of command and control and payload communications of autonomous UAV applications. Accurate modeling of โ€ฆ

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A Survey on Robust Deep Joint Source-Channel Coding for Semantic Communications

Eunhye Hong, Taewoo Park, Yongjune Kim ยท 2026

Semantic communications (SCs) aim to transmit only the essential information required to perform given tasks, thereby improving communication efficiency. Deep learning-based joint source-channel codinโ€ฆ

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FORMULA: FORmation MPC with neUral barrier Learning for safety Assurance

Qintong Xie, Weishu Zhan, Peter Chin ยท 2026

Multi-robot systems (MRS) are essential for large-scale applications such as disaster response, material transport, and warehouse logistics, yet ensuring robust, safety-aware formation control in clutโ€ฆ

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