@masterthesis{Schink, type = {Bachelor Thesis}, author = {Schink, Lukas}, title = {Pepper: Der halbautonome, humanoide Service-Roboter}, school = {Hochschule Rhein-Waal}, abstract = {Die vorliegende Arbeit untersucht die Integration großer Sprachmodelle in die Steuerung humanoider Roboter, am Beispiel der Anbindung von ChatGPT an den Service-Roboter Pepper. Motivation der Arbeit ist die Frage, wie moderne Sprachmodelle die Interaktionsf{\"a}higkeit {\"a}lterer Roboterplattformen verbessern k{\"o}nnen, sodass Roboter wie Pepper trotz ihres Alters und begrenzter physischer F{\"a}higkeiten in sozialen und bildungsbezogenen Anwendungen relevant bleiben. Ziel der Forschung ist es, Peppers Kommunikations- und Interaktionsm{\"o}glichkeiten durch die Kombination seiner bestehenden und m{\"o}glichen Funktionen mit den Sprachverarbeitungsf{\"a}higkeiten von ChatGPT zu erweitern. Hierzu wurde ein System entwickelt, das kontextbasierte Codes (Actioncodes) verwendet, die es dem Sprachmodell erm{\"o}glichen, Peppers Verhalten dynamisch zu steuern und flexibel auf Situationen zu reagieren. Dazu geh{\"o}rt die technische Anbindung von ChatGPT an die QiSDK, die Implementierung spezifischer Actioncodes sowie die Definition einer Pers{\"o}nlichkeit und kontextuellen Wissensbasis f{\"u}r den Roboter. Das System wurde auf Basis vorangegangener Feldversuche im Labor getestet und evaluiert. Die Ergebnisse zeigen, dass die Integration von ChatGPT Peppers Interaktionsf{\"a}higkeit signifikant verbessert, indem die Kommunikation nat{\"u}rlicher und die Reaktionen des Roboters flexibler werden. Diese Arbeit demonstriert, wie moderne Sprachmodelle dazu beitragen k{\"o}nnen, {\"a}ltere Robotersysteme zu modernisieren und ihre Einsatzm{\"o}glichkeiten erheblich zu erweitern.}, language = {de} } @misc{Pozdnyakova2025, type = {Master Thesis}, author = {Pozdnyakova, Olga}, title = {Exploring the Impact of Ecolabel Elements on Consumer Product Perception and Purchase Intention}, school = {Hochschule Rhein-Waal}, year = {2025}, abstract = {Ecolabelling is a tool that aims to engage consumers in making more sustainable choices, by communicating the environmental characteristics of a product. Previous studies have emphasized the significant impact of design and ecolabel elements in capturing consumers' attention and influencing their preferences. However, only a limited number of studies have explored the effect of individual ecolabel elements and their orchestration in regard to visual attention and consumers perception, particularly in the context of textile products. The aim of the present study was to provide new insights into effective ecolabel design practices by investigating the influence of color, visual symbol, and text on consumers' visual attention, environmental product perception and purchase intention. The current study employed a mixed method approach, combining quantitative and qualitative methods. The integrated methods included a review of existing ecolabels in the textile industry, an eye tracking experiment with sixteen custom-designed ecolabels, questionnaires, interviews, and a card sorting task. Visual attention was measured with the eye tracking, while other methods were employed to deepen the understanding of consumers' perception and reasoning behind their decision-making. The results of the study revealed that the green ecolabels with natural symbols, such as Cotton and Leaf, received the highest environmental friendliness and purchase intention ratings, with the green Cotton ecolabel demonstrating the highest rate of visual attention engagement. In contrast, blue ecolabels were perceived as less environmentally friendly, particularly those with the visual symbols unrelated to nature. In addition, precise environmental claims with numerical data, such as "90\% Organic cotton", in combination with a website link, had a positive impact on trust and environmental perception. However, their role in visual attention and environmental perception was found to be less significant compared to the color and visual symbol. The findings contribute to textile research, highlighting the importance of the ecolabel context, visual symbol and color in ecolabel design, and providing new insights about visual attention patterns. The study outlines practical recommendations that can be utilized by professionals developing or redesigning ecolabels, in order to effectively communicate the characteristics of sustainable products.}, language = {en} } @masterthesis{Elmessiry2025, type = {Bachelor Thesis}, author = {Elmessiry, Abdalrahman}, title = {implementation and investigation of a distributed robotic chess system}, school = {Hochschule Rhein-Waal}, year = {2025}, abstract = {This thesis presents and evaluates a distributed robotic system that successfully integrates a native Windows chess engine (Fritz 19) with a containerized ROS2-based robot control system, operating on a single host computer. The architecture is designed to solve the common challenge of bridging disparate operating systems in real-time robotics. Performance analysis over 35 moves demonstrates the architecture's high reliability, achieving a 100\% success rate in the software pipeline from command generation to execution planning. The study quantifies the system's primary performance bottleneck, showing that the physical robot movement averaged 22.6 seconds, while the underlying communication latency was negligible at 2.89 ms. This highlights a crucial distinction between computational speed and the challenges of physical manipulation. Compared to existing human-robot chess systems, which typically operate within a single OS or rely heavily on computer vision, this work contributes a validated architectural alternative. Its primary contribution is a single-host framework that integrates a native Windows application with a containerized ROS2 system. This provides a robust solution for developers needing to bridge disparate software ecosystems in real-time robotics and establishes a performance baseline demonstrating that such integration is highly efficient.}, language = {en} }