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๐Ÿ” p.r. berman ๐Ÿ“‚ Engineering
Showing 781 results for "p.r. berman" in Engineering
Engineering Preprint PDF DOI

Scalable Multimodal Beam Alignment in V2X: An Anti-Imbalance Graph Learning Approach

Jiahui Liang, Shuoyao Wang, Shijian Gao ยท 2026

Efficient beam alignment is fundamental to high-throughput and reliable connectivity in Vehicle-to-Everything (V2X) systems. However, conventional beam management in dynamic vehicular topologies incurโ€ฆ

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Engineering Preprint PDF DOI

Designing Active Operation in Low-Voltage Distribution Grids: Requirements, Interfaces and Roadmap

Eric Tonges, Andrea Schoen, Frank Marten, Marco Pau, Denis Mende ยท 2026

This paper outlines a pathway towards active operation of lowvoltage distribution grids. In these grids, the growing deployment of distributed generation, controllable demand and storage, together witโ€ฆ

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Engineering Preprint PDF DOI

VLA Foundry: A Unified Framework for Training Vision-Language-Action Models

Jean Mercat, Sedrick Keh, Kushal Arora, Isabella Huang, Paarth Shah, Haruki Nishimura, Shun Iwase, Katherine Liu ยท 2026

We present VLA Foundry, an open-source framework that unifies LLM, VLM, and VLA training in a single codebase. Most open-source VLA efforts specialize on the action training stage, often stitching togโ€ฆ

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Engineering Preprint PDF DOI

SYMBOLIZER: Symbolic Model-free Task Planning with VLMs

Sami Azirar, Zlatan Ajanovic, Hermann Blum ยท 2026

Traditional Task and Motion Planning (TAMP) systems depend on physics models for motion planning and discrete symbolic models for task planning. Although physics model are often available, symbolic moโ€ฆ

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Engineering Preprint PDF DOI

VLMaterial: Vision-Language Model-Based Camera-Radar Fusion for Physics-Grounded Material Identification

Jiangyou Zhu, He Chen ยท 2026

Accurate material recognition is a fundamental capability for intelligent perception systems to interact safely and effectively with the physical world. For instance, distinguishing visually similar oโ€ฆ

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Engineering Preprint PDF DOI

Neural-Network Inversion for the Temporal CT Multi-Source Bundle Problem: Per-Bundle Statistical Limits and Near-Optimal Performance

Guy M. Besson ยท 2026

We study the nonlinear inverse problem arising in Temporal CT, a multi-source computed-tomography architecture in which NS = 3 simultaneously active X-ray sources produce M = 5 mixed Poisson intensityโ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Power Flow for Radial Distribution Networks with Sparse Real-Time Data

Oleksii Molodchyk, Omid Mokhtari, Samuel Chevalier, Mads R. Almassalkhi, Timm Faulwasser ยท 2026

Real-time control of distribution networks requires accurate information about the system state. In practice, however, such information is difficult to obtain because real-time measurements are availaโ€ฆ

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Engineering Preprint PDF DOI

Open-Ended Instruction Realization with LLM-Enabled Multi-Planner Scheduling in Autonomous Vehicles

Jiawei Liu, Xun Gong, Fen Fang, Muli Yang, Bohao Qu, Yunfeng Hu, Hong Chen, Xulei Yang, Qing Guo ยท 2026

Most Human-Machine Interaction (HMI) research overlooks the maneuvering needs of passengers in autonomous driving (AD). Natural language offers an intuitive interface, yet translating passenger open-eโ€ฆ

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Engineering Preprint PDF DOI

From Energy Transition Pathways to Measurement Requirements: A Scenario-Based Study of Low-Voltage Grids

Nane Zimmermann, Lukas P. Wagner, Luca von Ronn, Florian Strobel, Paul Huttmann, Felix Gehlhoff ยท 2026

Increasing penetration of electric vehicles, heat pumps, and rooftop photovoltaics is creating thermal and voltage stress in low-voltage distribution grids. This work links three German energy transitโ€ฆ

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Engineering Preprint PDF DOI

Off-Axis Compliant RCM Joint with Near-Isotropic Stiffness and Minimal Parasitic Error

Federico Mariano, Elena De Momi, Giovanni Berselli, Jovana Jovanova, Just L. Herder, Leonardo S. Mattos ยท 2026

This paper presents an off-axis, monolithic compliant Remote Center of Motion (RCM) joint for neuroendoscopic manipulation, combining near-isotropic stiffness with minimal parasitic motion. Based on tโ€ฆ

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Engineering Preprint PDF DOI

Realtime-VLA V2: Learning to Run VLAs Fast, Smooth, and Accurate

Chen Yang, Yucheng Hu, Yunchao Ma, Yunhuan Yang, Jing Tan, Haoqiang Fan ยท 2026

In deployment of the VLA models to real-world robotic tasks, execution speed matters. In previous work arXiv:2510.26742 we analyze how to make neural computation of VLAs on GPU fast. However, we leaveโ€ฆ

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Engineering Preprint PDF DOI

Verifiable Error Bounds for Physics-Informed Neural Network Solutions of Lyapunov and Hamilton-Jacobi-Bellman Equations

Jun Liu ยท 2026

Many core problems in nonlinear systems analysis and control can be recast as solving partial differential equations (PDEs) such as Lyapunov and Hamilton-Jacobi-Bellman (HJB) equations. Physics-informโ€ฆ

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Engineering Preprint PDF DOI

Sparse3DTrack: Monocular 3D Object Tracking Using Sparse Supervision

Nikhil Gosala, B. Ravi Kiran, Senthil Yogamani, Abhinav Valada ยท 2026

Monocular 3D object tracking aims to estimate temporally consistent 3D object poses across video frames, enabling autonomous agents to reason about scene dynamics. However, existing state-of-the-art aโ€ฆ

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Defending the power grid by segmenting the EV charging cyber infrastructure

Kirill Kuroptev, Florian Steinke, Efthymios Karangelos ยท 2026

This paper examines defending the power grid against load-altering attacks using electric vehicle charging. It proposes to preventively segment the cyber infrastructure that charging station operatorsโ€ฆ

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Linearized Bregman Iterations for Sparse Spiking Neural Networks

Daniel Windhager, Bernhard A. Moser, Michael Lunglmayr ยท 2026

Spiking Neural Networks (SNNs) offer an energy efficient alternative to conventional Artificial Neural Networks (ANNs) but typically still require a large number of parameters. This work introduces Liโ€ฆ

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Engineering Preprint PDF DOI

Identification and Visualization of Correlation Structures in Large-Scale Power Quality Data

Max Domagk, Jan Meyer, Marco Lindner ยท 2026

Large-scale power quality (PQ) measurement campaigns generate vast amounts of multivariate data, in which systematic dependencies are difficult to identify using conventional analysis techniques. Thisโ€ฆ

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Engineering Preprint PDF DOI

SurgSync: Time-Synchronized Multi-Modal Data Collection Framework and Dataset for Surgical Robotics

Haoying Zhou, Chang Liu, Yimeng Wu, Junlin Wu, Zijian Wu, Yu Chung Lee, Sara Martuscelli, Spetimiu E. Salcudean, Gregory S. Fischer, Peter Kazanzides ยท 2026

Most existing robotic surgery systems adopt a human-in-the-loop paradigm, often with the surgeon directly teleoperating the robotic system. Adding intelligence to these robots would enable higher-leveโ€ฆ

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Engineering Preprint PDF DOI

KD-EKF: Knowledge-Distilled Adaptive Covariance EKF for Robust UWB/PDR Indoor Localization

Kyeonghyun Yoo, Wooyong Jung, Namkyung Yoon, Sangmin Lee, Sanghong Kim, Hwangnam Kim ยท 2026

Ultra-wideband (UWB) indoor localization provides centimeter-level accuracy and low latency, but its measurement reliability degrades severely under Non-Line-of-Sight (NLOS) conditions, leading to metโ€ฆ

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Adaptive Sampling for Storage of Progressive Images on DNA

Xavier Pic, Nimesh Pinnamaneni, Raja Appuswamy ยท 2026

The short lifespan of traditional data storage media, coupled with an exponential increase in storage demand, has made long-term archival a fundamental problem in the data storage industry and beyond.โ€ฆ

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BabAR: from phoneme recognition to developmental measures of young children's speech production

Marvin Lavechin, Elika Bergelson, Roger Levy ยท 2026

Studying early speech development at scale requires automatic tools, yet automatic phoneme recognition, especially for young children, remains largely unsolved. Building on decades of data collection,โ€ฆ

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