Tootfinder

Bridging Research and Practice in Simulation-based Testing of Industrial Robot Navigation Systems
Sajad Khatiri, Francisco Eli Vina Barrientos, Maximilian Wulf, Paolo Tonella, Sebastiano Panichella
https://arxiv.org/abs/2510.09396

Bridging Research and Practice in Simulation-based Testing of Industrial Robot Navigation Systems
Ensuring robust robotic navigation in dynamic environments is a key challenge, as traditional testing methods often struggle to cover the full spectrum of operational requirements. This paper presents the industrial adoption of Surrealist, a simulation-based test generation framework originally for UAVs, now applied to the ANYmal quadrupedal robot for industrial inspection. Our method uses a search-based algorithm to automatically generate challenging obstacle avoidance scenarios, uncovering fa…

Deep Learning to Identify the Spatio-Temporal Cascading Effects of Train Delays in a High-Density Network
Vu Duc Anh Nguyen, Ziyue Li
https://arxiv.org/abs/2510.09350 https://…

Deep Learning to Identify the Spatio-Temporal Cascading Effects of Train Delays in a High-Density Network
The operational efficiency of railway networks, a cornerstone of modern economies, is persistently undermined by the cascading effects of train delays. Accurately forecasting this delay propagation is a critical challenge for real-time traffic management. While recent research has leveraged Graph Neural Networks (GNNs) to model the network structure of railways, a significant gap remains in developing frameworks that provide multi-step autoregressive forecasts at a network-wide scale, while sim…

Smart Contract-Enabled Procurement under Bounded Demand Variability: A Truncated Normal Approach
Jinho Cha, Youngchul Kim, Junyeol Ryu, Sangjun Park, Jeongho Kang, Hyeyoung Hwang
https://arxiv.org/abs/2510.07801

Smart Contract-Enabled Procurement under Bounded Demand Variability: A Truncated Normal Approach
This study develops a strategic procurement framework integrating blockchain-based smart contracts with bounded demand variability modeled through a truncated normal distribution. While existing research emphasizes the technical feasibility of smart contracts, the operational and economic implications of adoption under moderate uncertainty remain underexplored. We propose a multi-supplier model in which a centralized retailer jointly determines the optimal smart contract adoption intensity and …

Profit Maximization for a Robotics-as-a-Service Model
Joo Seung Lee, Anil Aswani
https://arxiv.org/abs/2509.26595 https://arxiv.org/pdf/2509.26595

Profit Maximization for a Robotics-as-a-Service Model
The growth of Robotics-as-a-Service (RaaS) presents new operational challenges, particularly in optimizing business decisions like pricing and equipment management. While much research focuses on the technical aspects of RaaS, the strategic business problems of joint pricing and replacement have been less explored. This paper addresses the problem of profit maximization for an RaaS operator operating a single robot at a time. We formulate a model where jobs arrive sequentially, and for each, th…

The dawn of alchemical free-energy methods in biomolecular simulations
Daniele Macuglia, Giovanni Ciccotti, Beno\^it Roux
https://arxiv.org/abs/2510.04917 https://

The dawn of alchemical free-energy methods in biomolecular simulations
From the onset of fundamental statistical mechanical constructs formulated in the late 19th century, alchemical free-energy methods slowly emerged and transitioned to become operational tools of biomolecular simulation applicable to a wide range of problems including protein-ligand binding for drug discovery research. This article reconstructs how statistical mechanical approaches such as thermodynamic integration and free-energy perturbation were reconfigured in the early 1980's to address the…

Flexible and High-Performance Radio Access Networks for upcoming Sixth-Generation (6G) Systems
Peter Schefczik, Umar Toseef, Paolo Baracca, Ralf Klotsche, Torsten Dudda, Mai-Anh Phan, Lorenzo Miretti, David Ginthoer, Bin Han
https://arxiv.org/abs/2509.24417

Flexible and High-Performance Radio Access Networks for upcoming Sixth-Generation (6G) Systems
The collaborative research project 6G-ANNA develops concepts for the 6G radio access network (RAN) architecture and technology components. Previous RAN generations have become inherently more complex and reach their limits in handling foreseen future traffic demands with their diverse characteristics in an efficient manner, e.g., for the use-case of mobile eXtended Reality (XR) on a massive scale. One main objective of 6G is to regain both operational and energy efficiency, i.e., by simplificat…

SPARTA: Python-Based Automated Spectral Parameter Analysis and Assessment System for Resonance Tracking
Kerem Semiz
https://arxiv.org/abs/2510.05832 https://

SPARTA: Python-Based Automated Spectral Parameter Analysis and Assessment System for Resonance Tracking
Accurately determining resonance frequencies and quality factors (Q) is crucial in accelerator physics and radiofrequency engineering, as these factors have direct impacts on system design, operational stability, and research results. The methods currently employed to facilitate resonance analysis are mostly manual, requiring operators and physicists to estimate resonant parameters and examine scattering parameter (S-parameter) data from vector network analyzers (VNAs). The current techniques t…