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Your search for "2025" yielded 24471 hits

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Quadruped robots are currently a widespread platform for robotics research, thanks to powerful Reinforcement Learning controllers and the availability of cheap and robust commercial platforms. However, to broaden the adoption of the technology in the real world, we require robust navigation stacks relying only on low-cost sensors such as depth cameras. This paper presents a first step towards a ro

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We propose a method for estimating the 3D position of a target point, given multiple measurements of it, using mm-wave radar data. Given azimuth headings and range estimates from posed radar positions, we find the 3D position, using an approximate, but geometrically and statistically meaningful cost. The 3D position is found in an optimal way, using this approximate cost. By deriving the Lagrangia

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In this work, we study the problem of estimating the in-ear sound field using microphone measurements at nearby positions. Typically, the sound field is first interpolated to the position of the head under free-field assumptions, followed by filtering through pre-measured head-related transfer functions (HRTFs). While properties of free-field interpolation methods have been well studied with respe

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The application of Agent-Based Modeling and Simulation (ABMS) has few established guidelines and often suffers from insufficient model documentation. We assess the prevalence of best practices associated with different types of model documentation in light of the European Union's AI Act (AI Act). Our analysis reveals that best practices are often implemented together but ultimately reinforce the p

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Permanent Magnet Synchronous Motor (PMSM) is a main component in electrical aircraft and electric vehicles. Due to its advantages, it is gaining the attention of manufacturers. This machine is highly efficient and reliable. It has a high torque to weight ratio. Due to its criticality in application, we need to detect the faults at the initiation stage. The faults associated with PMSM can be electr

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Robotic systems often face execution failures due to unexpected obstacles, sensor errors, or environmental changes. Traditional failure recovery methods rely on predefined strategies or human intervention, making them less adaptable. This paper presents a unified failure recovery framework that combines Vision-Language Models (VLMs), a reactive planner, and Behavior Trees (BTs) to enable real-time

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Our research aims to develop an intelligent control system for optimizing the operation of lighting systems for a jogging track in the countryside by using adaptive control methods, and optimization of built-in lighting control. Through this, lighting systems will be optimized, energy consumption will be minimized and the lighting system will be adapted to be able to handle a larger amount of loca

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En stad är inte endast en fysisk bild av dess gator och hus. Vi människor har också en egen relation till en stad, ett slags djupare existentiellt förhållande. Därför finns heller inte en berättelse om staden, utan flera - samtida - och ofta djupt personliga.

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This review examines how coordination is infrastructured in digital health ecosystems where technologies, institutions, and practices intersect across organisational and professional boundaries. Drawing on a systematic analysis of the literature, we identify three interdependent infrastructural layers: technological, informational, and institutional, and four recurring processes through which coor

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We perform a validation analysis on the multipolar model of opinion dynamics. A general methodology for using the model on datasets of two correlated variables is proposed and tested using data on the relationship between COVID-19 vaccination rates and political participation in Sweden. The model is shown to successfully capture the opinion segregation demonstrated by the data and spatial correlat

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Permanent Magnet Synchronous Motors (PMSMs) are becoming increasingly popular in traction applications. PMSMs have gained popularity due to their efficiency, compactness and excellent features related to control. This is mainly because of the permanent magnet placement in the rotor, which negates any additional rotor excitation, hence reducing energy losses considerably. This makes them more effic