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๐Ÿ” jonas klauke ๐Ÿ“‚ Engineering
Showing 176 results for "jonas klauke" in Engineering
Engineering Preprint PDF DOI

A Model and Estimation of the Bitcoin Transaction Fee

Daniel Aronoff, Kristian Praizner, Armin Sabouri ยท 2026

Bitcoin transaction fees will become more important as the block subsidy declines, but fee formation is hard to study with blockchain data alone because the relevant queueing environment is unobservedโ€ฆ

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Engineering Preprint PDF DOI

Real-World LoRaWAN Performance and Propagation Modeling Using UAV, Helikite, and Vehicle-Based Measurements

Sergio Vargas Villar, Simran Singh, Ozgur Ozdemir, Mihail L. Sichitiu, Ismail Guvenc ยท 2026

This paper presents a field-based evaluation of Long Range Wide Area Network (LoRaWAN) signal propagation conducted at two locations within the Aerial Experimentation and Research Platform for Advanceโ€ฆ

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Engineering Preprint PDF DOI

On the Convergence of an Opinion-Action Coevolution Model with Bounded Confidence

Chen Song, Angela Fontan, Rong Su, Julien M. Hendrickx, Vladimir Cvetkovic, Karl H. Johansson ยท 2026

This paper presents a theoretical convergence analysis for an opinion-action coevolution model that integrates the opinion updating rule of the Hegselmann-Krause model with a utility-based decision-maโ€ฆ

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Engineering Preprint PDF DOI

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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Engineering Preprint PDF DOI

Truthful Production Uncertainty in Electricity Markets: A Two-Stage Mechanism

Shobhit Singhal, Lesia Mitridati, Licio Romao ยท 2026

Renewable power sources have low marginal pro-duction costs, but may result in high balancing costs due to the inherent production uncertainty. Current day-ahead markets elicit only point production pโ€ฆ

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Engineering Preprint PDF DOI

Air-to-Air Channel Characterization for UAV Communications at 3.4 GHz

An{i}l Gurses, John Kesler, Mihail L. Sichitiu ยท 2026

Uncrewed Aerial Vehicle (UAV) networks require accurate Air-to-Air (A2A) channel models, but most existing work focuses on Air-to-Ground links and leaves the sub-6 GHz A2A channel poorly characterizedโ€ฆ

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Engineering Preprint PDF DOI

Hybrid Energy-Based Models for Physical AI: Provably Stable Identification of Port-Hamiltonian Dynamics

Simone Betteti, Luca Laurenti ยท 2026

Energy-based models (EBMs) implement inference as gradient descent on a learned Lyapunov function, yielding interpretable, structure-preserving alternatives to black-box neural ODEs and aligning naturโ€ฆ

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Engineering Preprint PDF DOI

E-SocialNav: Efficient Socially Compliant Navigation with Language Models

Ling Xiao, Daeun Song, Xuesu Xiao, Toshihiko Yamasaki ยท 2026

Language models (LMs) are increasingly applied to robotic navigation; however, existing benchmarks primarily emphasize navigation success rates while paying limited attention to social compliance. Morโ€ฆ

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Engineering Preprint PDF DOI

Design of a Bio-Inspired Miniature Submarine for Low-Cost Water Quality Monitoring

Quang Huy Vu, Quan Le, Manh Duong Phung ยท 2026

Water quality monitoring is essential for protecting aquatic ecosystems and detecting environmental pollution. This paper presents the design and experimental validation of a bio-inspired miniature suโ€ฆ

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Engineering Preprint PDF DOI

Thousand-GPU Large-Scale Training and Optimization Recipe for AI-Native Cloud Embodied Intelligence Infrastructure

Yongjian Guo, Yunxuan Ma, Haoran Sun, Zhong Guan, Shuai Di, Jing Long, Wanting Xu, Xiaodong Bai, Wen Huang, Yucheng Guo, Chen Zhou, Qiming Yang, Mingxi Luo, Tianyun Zhao, Hedan Yang, Song Wang, Xiaomeng Tian, Xiaolong Xiang, Zhen Sun, Yu Wei, Luqiao Wang, Yuzhen Li, Chenfeng Gu, Junwu Xiong, Yicheng Gong ยท 2026

Embodied intelligence is a key step towards Artificial General Intelligence (AGI), yet its development faces multiple challenges including data, frameworks, infrastructure, and evaluation systems. To โ€ฆ

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Engineering Preprint PDF DOI

Towards Robotic Lake Maintenance: Integrating SONAR and Satellite Data to Assist Human Operators

Ahmed H. Elsayed, Christoph Manss, Tarek A. El-Mihoub, Andrej Lejman, Frederic Stahl ยท 2026

Artificial Water Bodies (AWBs) are human-made systems that require continuous monitoring due to their artificial biological processes. These systems demand regular maintenance to manage their ecosysteโ€ฆ

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Engineering Preprint PDF DOI

ParkDiffusion++: Ego Intention Conditioned Joint Multi-Agent Trajectory Prediction for Automated Parking using Diffusion Models

Jiarong Wei, Anna Rehr, Christian Feist, Abhinav Valada ยท 2026

Automated parking is a challenging operational domain for advanced driver assistance systems, requiring robust scene understanding and interaction reasoning. The key challenge is twofold: (i) predict โ€ฆ

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Engineering Preprint PDF DOI

SpecFuse: A Spectral-Temporal Fusion Predictive Control Framework for UAV Landing on Oscillating Marine Platforms

Haichao Liu, Yufeng Hu, Shuang Wang, Kangjun Guo, Jun Ma, Jinni Zhou ยท 2026

Autonomous landing of Uncrewed Aerial Vehicles (UAVs) on oscillating marine platforms is severely constrained by wave-induced multi-frequency oscillations, wind disturbances, and prediction phase lagsโ€ฆ

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Engineering Preprint PDF DOI

RoboSolver: A Multi-Agent Large Language Model Framework for Solving Robotic Arm Problems

Hamid Khabazi, Ali F. Meghdari, Alireza Taheri ยท 2026

This study proposes an intelligent multi-agent framework built on LLMs and VLMs and specifically tailored to robotics. The goal is to integrate the strengths of LLMs and VLMs with computational tools โ€ฆ

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Engineering Preprint PDF DOI

BTGenBot-2: Efficient Behavior Tree Generation with Small Language Models

Riccardo Andrea Izzo, Gianluca Bardaro, Matteo Matteucci ยท 2026

Recent advances in robot learning increasingly rely on LLM-based task planning, leveraging their ability to bridge natural language with executable actions. While prior works showcased great performanโ€ฆ

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Engineering Preprint PDF DOI

Demonstration-Free Robotic Control via LLM Agents

Brian Y. Tsui, Alan Y. Fang, Tiffany J. Hwu ยท 2026

Robotic manipulation has increasingly adopted vision-language-action (VLA) models, which achieve strong performance but typically require task-specific demonstrations and fine-tuning, and often generaโ€ฆ

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Engineering Preprint PDF DOI

ALRM: Agentic LLM for Robotic Manipulation

Vitor Gaboardi dos Santos, Ibrahim Khadraoui, Ibrahim Farhat, Hamza Yous, Samy Teffahi, Hakim Hacid ยท 2026

Large Language Models (LLMs) have recently empowered agentic frameworks to exhibit advanced reasoning and planning capabilities. However, their integration in robotic control pipelines remains limitedโ€ฆ

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Engineering Preprint PDF DOI

Small Models, Big Impact: Tool-Augmented AI Agents for Wireless Network Planning

Yongqiang Zhang, Mustafa A. Kishk, Mohamed-Slim Alouini ยท 2026

Large Language Models (LLMs) such as ChatGPT promise revolutionary capabilities for Sixth-Generation (6G) wireless networks but their massive computational requirements and tendency to generate techniโ€ฆ

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Engineering Preprint PDF DOI

Actors, Frames and Arguments: A Multi-Decade Computational Analysis of Climate Discourse in Financial News using Large Language Models

Ruiran Su, Janet B. Pierrehumbert, Markus Leippold ยท 2026

Financial news media shapes trillion-dollar climate investment decisions, yet discourse in this elite domain remains underexplored. We analyze two decades of climate-related articles (2000-2023) from โ€ฆ

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Engineering Preprint PDF DOI

VISO: Robust Underwater Visual-Inertial-Sonar SLAM with Photometric Rendering for Dense 3D Reconstruction

Shu Pan, Simon Archieri, Ahmet Cinar, Jonatan Scharff Willners, Ignacio Carlucho, Yvan Petillot ยท 2026

Visual challenges in underwater environments significantly hinder the accuracy of vision-based localisation and the high-fidelity dense reconstruction. In this paper, we propose VISO, a robust underwaโ€ฆ

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