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

Toward Efficient Deployment and Synchronization in Digital Twins-Empowered Networks

Hossam Farag, Cedomir Stefanovic ยท 2026

Digital twins (DTs) are envisioned as a key enabler of the cyber-physical continuum in future wireless networks. However, efficient deployment and synchronization of DTs in dynamic multi-access edge cโ€ฆ

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Engineering Preprint PDF DOI

Multi-Camera View Scaling for Data-Efficient Robot Imitation Learning

Yichen Xie, Yixiao Wang, Shuqi Zhao, Cheng-En Wu, Masayoshi Tomizuka, Jianwen Xie, Hao-Shu Fang ยท 2026

The generalization ability of imitation learning policies for robotic manipulation is fundamentally constrained by the diversity of expert demonstrations, while collecting demonstrations across variedโ€ฆ

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Simulating Realistic LiDAR Data Under Adverse Weather for Autonomous Vehicles: A Physics-Informed Learning Approach

Vivek Anand, Bharat Lohani, Rakesh Mishra, Gaurav Pandey ยท 2026

Accurate LiDAR simulation is crucial for autonomous driving, especially under adverse weather conditions. Existing methods struggle to capture the complex interactions between LiDAR signals and atmospโ€ฆ

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Engineering Preprint PDF DOI

BLISS: Global Blind Identification of Linear Systems with Sparse Inputs

Kyle Poe, Uday Kiran Reddy Tadipatri, Benjamin D. Haeffele, Rene Vidal ยท 2026

Linear system identification and sparse dictionary learning can both be seen as structured matrix factorization problems. However, these two problems have historically been studied in isolation by theโ€ฆ

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Penalty-Free Two-Step Optimization of Higher-Order Ising Problems for Two-Dimensional Line-Controlled RIS

Tasuku Okamoto, Naoki Ishikawa, Daisuke Kitayama, Yuto Hama, Kensuke Inaba, Toshimori Honjo, Hiroki Takesue, Hiroyuki Takahashi ยท 2026

Reconfigurable intelligent surfaces (RISs) are often assumed to allow continuous phase control over all elements, leading to hardware cost that scales with the number of elements. Treating the phase oโ€ฆ

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Engineering Preprint PDF DOI

Learning Humanoid Navigation from Human Data

Weizhuo Wang, Yanjie Ze, C. Karen Liu, Monroe Kennedy III ยท 2026

We present EgoNav, a system that enables a humanoid robot to traverse diverse, unseen environments by learning entirely from 5 hours of human walking data, with no robot data or finetuning. A diffusioโ€ฆ

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Engineering Preprint PDF DOI

Data-Attributed Adaptive Control Barrier Functions: Safety-Certified Training Data Curation via Influence Analysis

Jiachen Li, Shihao Li, Dongmei Chen ยท 2026

Learning-based adaptation of Control Barrier Function (CBF) parameters offers a promising path toward safe autonomous navigation that balances conservatism with performance. Yet the accuracy of the unโ€ฆ

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Engineering Preprint PDF DOI

A Dual-Stream Transformer Architecture for Illumination-Invariant TIR-LiDAR Person Tracking

Yuki Minase, Kanji Tanaka ยท 2026

Robust person tracking is a critical capability for autonomous mobile robots operating in diverse and unpredictable environments. While RGB-D tracking has shown high precision, its performance severelโ€ฆ

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Engineering Preprint PDF DOI

Real Time Local Wind Inference for Robust Autonomous Navigation

Spencer Folk ยท 2026

This thesis presents a solution that enables aerial robots to reason about surrounding wind flow fields in real time using on board sensors and embedded flight hardware. The core novelty of this reseaโ€ฆ

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Hierarchical Motion Planning and Control under Unknown Nonlinear Dynamics via Predicted Reachability

Zhiquan Zhang, Melkior Ornik ยท 2026

Autonomous motion planning under unknown nonlinear dynamics requires learning system properties while navigating toward a target. In this work, we develop a hierarchical planning-control framework thaโ€ฆ

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Prompt-Guided Prefiltering for VLM Image Compression

Bardia Azizian, Ivan V. Bajic ยท 2026

The rapid progress of large Vision-Language Models (VLMs) has enabled a wide range of applications, such as image understanding and Visual Question Answering (VQA). Query images are often uploaded to โ€ฆ

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Play-Testing REMind: Evaluating an Educational Robot-Mediated Role-Play Game

Elaheh Sanoubari, Neil Fernandes, Keith Rebello, Alicia Pan, Andrew Houston, Kerstin Dautenhahn ยท 2026

This paper presents REMind, an innovative educational robot-mediated role-play game designed to support anti-bullying bystander intervention among children. REMind invites players to observe a bullyinโ€ฆ

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Certified Set Convergence for Piecewise Affine Systems via Neural Lyapunov Functions

Yanliang Huang, Peng Xie, Zhen Zhang, Wenyuan Wu, Zhuoqi Zeng, Amr Alanwar ยท 2026

Safety-critical control of piecewise affine (PWA) systems under bounded additive disturbances requires guarantees not for individual states but for entire state sets simultaneously: a single control aโ€ฆ

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Feature-level Site Leakage Reduction for Cross-Hospital Chest X-ray Transfer via Self-Supervised Learning

Ayoub Louaye Bouaziz, Lokmane Chebouba ยท 2026

Cross-hospital failure in chest X-ray models is often attributed to domain shift, yet most work assumes invariance without measuring it. This paper studies how to measure site leakage directly and howโ€ฆ

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Evaluation of neuroCombat and deep learning harmonization for multi-site magnetic resonance neuroimaging in youth with prenatal alcohol exposure

Chloe Scholten, Elyssa M. McMaster, Adam M. Saunders, Michael E. Kim, Gaurav Rudravaram, Elias Levy, Bryce Geeraert, Lianrui Zuo, Simon Vandekar, Catherine Lebel, Bennett A. Landman ยท 2026

In cases of prevalent diseases and disorders, such as Prenatal Alcohol Exposure (PAE), multi-site data collection allows for increased study samples. However, multi-site studies introduce additional vโ€ฆ

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Learning Compact Terrain-Context Representations for Feasibility-Aware Offline Reinforcement Learning in UAV Relaying Networks

Joseanne Viana, Viswak R Balaji, Boris Galkin, Lester Ho, Holger Claussen ยท 2026

Offline reinforcement learning (RL) is an attractive tool for unmanned aerial vehicle (UAV) systems, where online exploration is costly and raises safety concerns. In terrain-aware UAV relaying, agentโ€ฆ

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Scalable machine learning-based approaches for energy saving in densely deployed Open RAN

Xuanyu Liang, Ahmed Al-Tahmeesschi, Swarna Chetty, Cicek Cavdar, Berk Canberk, Hamed Ahmadi ยท 2026

Densely deployed base stations are responsible for the majority of the energy consumed in Radio access network (RAN). While these deployments are crucial to deliver the required data rate in busy hourโ€ฆ

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Finite-Time Analysis of Projected Two-Time-Scale Stochastic Approximation

Yitao Bai, Thinh T. Doan, Justin Romberg ยท 2026

We study the finite-time convergence of projected linear two-time-scale stochastic approximation with constant step sizes and Polyak--Ruppert averaging. We establish an explicit mean-square error bounโ€ฆ

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Contracting Neural Networks: Sharp LMI Conditions with Applications to Integral Control and Deep Learning

Anand Gokhale, Anton V. Proskurnikov, Yu Kawano, Francesco Bullo ยท 2026

This paper studies contractivity of firing-rate and Hopfield recurrent neural networks. We derive sharp LMI conditions on the synaptic matrices that characterize contractivity of both architectures, fโ€ฆ

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HapCompass: A Rotational Haptic Device for Contact-Rich Robotic Teleoperation

Xiangshan Tan, Jingtian Ji, Tianchong Jiang, Pedro Lopes, Matthew R. Walter ยท 2026

The contact-rich nature of manipulation makes it a significant challenge for robotic teleoperation. While haptic feedback is critical for contact-rich tasks, providing intuitive directional cues withiโ€ฆ

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