Privacy concerns can potentially make camera-based object classification unsuitable for robot navigation. To address this problem, we propose a novel object classification system using only a 2D-LiDAR sensor on mobile robots. The proposed system enables semantic understanding of the environment by applying …

"This workshop will be an opportunity to experience first-hand and discuss an inclusive, hybrid (digital-physical) workshop format, empowering citizens to co-design their neighborhoods and make their voices heard in planning processes, while enabling professionals and municipalities to automatically …

Teacher-student interaction is built out of numerous micro-interactions that shape learning and teaching processes. This presentation highlights the use of State Space Grids (SSGs) for visualizing and studying real-time classroom discourse in an intervention targeting professional development. State …

This study presents an automated method for detecting and measuring the apex head thickness of tomato plants, a critical phenotypic trait associated with plant health, fruit development, and yield forecasting. Due to the apex's sensitivity to physical contact, non-invasive monitoring is essential. This …

At the (Not) Jammed Poetry Night at Limestone Books Maastricht in 2022, seven writers read their poetry alongside “Scott”, a real-time printing system designed by the DuctTape Collective. Using Google’s English-language speech-to-text voice recognition system, it transcribed the spoken words in real …

This research investigates how Industry 5.0 technologies, namely blockchain, the Internet of Things (IoT), and artificial intelligence (AI), can enhance transparency and accountability in ethical sourcing and labor practices within the textile and apparel industry. With the European Union preparing to …

The Use of K-pop Idols as Trend Forecasting Tools This thesis explores how K-pop idols and their fan communities co-create fashion trends, and how brands can leverage this dynamic as a forecasting tool. As traditional trend cycles become outdated in the fast-paced digital age, K-pop offers a real-time, …

Introduction Recording sap flow in plants is essential to understanding water usage, especially for herbaceous species like tomatoes. While plant physiology research has progressed, there remains a gap in applying sap flow sensor data to these species. In this study, the predictive capabilities of Recurrent …

As urban environments increasingly adopt automated technologies for municipal enforcement, this paper interrogates the erosion of human judgment, discretion, and interaction in public space governance. Drawing on participatory design workshops within the “Human Values for Smarter Cities” project, the …

The increasing prevalence of antimicrobial-resistant (AMR) bacteria in humans, animals, and the environment underscores the necessity for a rapid, sensitive, and specific method to identify resistance genes. Objectives: This study aims to develop a reliable detection tool for identifying the tetracycline-resistant …