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

ReinVBC: A Model-based Reinforcement Learning Approach to Vehicle Braking Controller

Haoxin Lin, Junjie Zhou, Daheng Xu, Yang Yu ยท 2026

Braking system, the key module to ensure the safety and steer-ability of current vehicles, relies on extensive manual calibration during production. Reducing labor and time consumption while maintainiโ€ฆ

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LACE-S: Toward Sensitivity-consistent Locational Average Carbon Emissions via Neural Representation

Young-ho Cho, Min-Seung Ko, Hao Zhu ยท 2026

Carbon-aware grid optimization relies on accurate locational emission metrics to effectively guide demand-side decarbonization tasks such as spatial load shifting. However, existing metrics are only vโ€ฆ

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Adversarial Robustness Analysis of Cloud-Assisted Autonomous Driving Systems

Maher Al Islam, Amr S. El-Wakeel ยท 2026

Autonomous vehicles increasingly rely on deep learning-based perception and control, which impose substantial computational demands. Cloud-assisted architectures offload these functions to remote servโ€ฆ

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Engineering Preprint PDF DOI

frax: Fast Robot Kinematics and Dynamics in JAX

Daniel Morton, Marco Pavone ยท 2026

In robot control, planning, and learning, there is a need for rigid-body dynamics libraries that are highly performant, easy to use, and compatible with CPUs and accelerators. While existing librariesโ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Boundary Control of Distributed Port-Hamiltonian Systems

Thomas Beckers, Leonardo Colombo ยท 2026

Distributed Port-Hamiltonian (dPHS) theory provides a powerful framework for modeling physical systems governed by partial differential equations and has enabled a broad class of boundary control methโ€ฆ

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Robots Need Some Education: On the complexity of learning in evolutionary robotics

Fuda van Diggelen ยท 2026

Evolutionary Robotics and Robot Learning are two fields in robotics that aim to automatically optimize robot designs. The key difference between them lies in what is being optimized and the time scaleโ€ฆ

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Engineering Preprint PDF DOI

Primitive-based Truncated Diffusion for Efficient Trajectory Generation of Differential Drive Mobile Manipulators

Long Xu, Choilam Wong, Yuhang Zhong, Junxiao Lin, Jialiang Hou, Fei Gao ยท 2026

We present a learning-enhanced motion planner for differential drive mobile manipulators to improve efficiency, success rate, and optimality. For task representation encoder, we propose a keypoint seqโ€ฆ

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Engineering Preprint PDF DOI

Learning Dexterous Grasping from Sparse Taxonomy Guidance

Juhan Park, Taerim Yoon, Seungmin Kim, Joonggil Kim, Wontae Ye, Jeongeun Park, Yoonbyung Chai, Geonwoo Cho, Geunwoo Cho, Dohyeong Kim, Kyungjae Lee, Yongjae Kim, Sungjoon Choi ยท 2026

Dexterous manipulation requires planning a grasp configuration suited to the object and task, which is then executed through coordinated multi-finger control. However, specifying grasp plans with densโ€ฆ

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Engineering Preprint PDF DOI

Multi-AUV Trajectory Learning for Sustainable Underwater IoT with Acoustic Energy Transfer

Mohamed Afouene Melki, Mohammad Shehab, Mohamed-Slim Alouini ยท 2026

The Internet of Underwater Things (IoUT) supports ocean sensing and offshore monitoring but requires coordinated mobility and energy-aware communication to sustain long-term operation. This letter proโ€ฆ

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Enhancing 6G Wireless Intelligence: Do LLMs Work for CSI Prediction?

Mohsen Kazemian, Jurgen Jasperneite ยท 2026

In high-mobility 6G scenarios, rapidly time-varying channels lead to very short coherence times, which makes conventional pilot-based channel state information (CSI) estimation approaches prone to outโ€ฆ

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Non-Destructive Prediction of Fruit Ripeness and Firmness Using Hyperspectral Imaging and Lightweight Machine Learning Models

Phongsakon Mark Konrad, Casper Kunstmann-Olsen, Jacek Fiutowski, Serkan Ayvaz ยท 2026

Post-harvest fruit quality assessment is essential for reducing food waste, yet reliable non-destructive methods typically depend on expensive hyperspectral cameras and computationally intensive deep โ€ฆ

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

Yang Zhang, Shengxi Jing, Fengxiang Wang, Yuan Feng, Hong Wang ยท 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-vโ€ฆ

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Lotka-Sharpe Neural Operators for Control of Population PDEs

Miroslav Krstic, Iasson Karafyllis, Luke Bhan, Carina Veil ยท 2026

Age-structured predator-prey integro-partial differential equations provide models of interacting populations in ecology, epidemiology, and biotechnology. A key challenge in feedback design for these โ€ฆ

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OpenRC: An Open-Source Robotic Colonoscopy Framework for Multimodal Data Acquisition and Autonomy Research

Siddhartha Kapuria, Mohammad Rafiee Javazm, Naruhiko Ikoma, Joga Ivatury, Mohammad Ali Nasseri, Nassir Navab, Farshid Alambeigi ยท 2026

Colorectal cancer screening critically depends on colonoscopy, yet existing platforms offer limited support for systematically studying the coupled dynamics of operator control, instrument motion, andโ€ฆ

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From Video to Control: A Survey of Learning Manipulation Interfaces from Temporal Visual Data

Linfang Zheng, Zikai Ouyang, Chen Wang, Jia Pan, Wei Zhang ยท 2026

Video is a scalable observation of physical dynamics: it captures how objects move, how contact unfolds, and how scenes evolve under interaction -- all without requiring robot action labels. Yet transโ€ฆ

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Build on Priors: Vision--Language--Guided Neuro-Symbolic Imitation Learning for Data-Efficient Real-World Robot Manipulation

Pierrick Lorang, Johannes Huemer, Timothy Duggan, Kai Goebel, Patrik Zips, Matthias Scheutz ยท 2026

Enabling robots to learn long-horizon manipulation tasks from a handful of demonstrations remains a central challenge in robotics. Existing neuro-symbolic approaches often rely on hand-crafted symboliโ€ฆ

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A Multi-View 3D Telepresence System for XR Robot Teleoperation

Enes Ulas Dincer, Manuel Zaremski, Alexandra Nick, Elias Wucher, Barbara Deml, Gerhard Neumann ยท 2026

Robot teleoperation is critical for applications such as remote maintenance, fleet robotics, search and rescue, and data collection for robot learning. Effective teleoperation requires intuitive 3D viโ€ฆ

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Engineering Preprint PDF DOI

MALEFA: Multi-grAnularity Learning and Effective False Alarm Suppression for Zero-shot Keyword Spotting

Lo-Ya Li, Tien-Hong Lo, Jeih-Weih Hung, Shih-Chieh Huang, Berlin Chen ยท 2026

User-defined keyword spotting (KWS) without resorting to domain-specific pre-labeled training data is of fundamental importance in building adaptable and personalized voice interfaces. However, such sโ€ฆ

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

Meng Yuan, Tinghui Yan, Zhezhuang Xu ยท 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 opportunitiesโ€ฆ

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Towards Edge Intelligence via Autonomous Navigation: A Robot-Assisted Data Collection Approach

Tingting Huang, Yingyang Chen, Sixian Qin, Zhijian Lin, Jun Li, Li Wang ยท 2026

With the growing demand for large-scale and high-quality data in edge intelligence systems, mobile robots are increasingly deployed to collect data proactively, particularly in complex environments. Hโ€ฆ

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