TY - THES A1 - Awasthi, Sudarshan T1 - Pepper ChatGPT System as a Study Programme Guide for Students N2 - This thesis centers on enhancing the humanoid Pepper robot with Artificial Intelligence-driven information delivery capabilities in an educational setting using Large Language Model at student service centers. In this work, Pepper was connected to GPT-Engine to act as a voice assistant robot. With the help of GPT-Engine Pepper can answer questions about the University and its study programmes. The enhancement involves a client-server architecture, where the client-side application enables students to interact with Pepper via speech, and the server-side, equipped with AI functionalities, processes these interactions and generates appropriate responses. This setup significantly augments Pepper's capabilities, allowing for more accurate and efficient information delivery. An experiment was conducted with nine student participants of Hochschule-Rhein Waal, where they asked questions about the University and study Programmes to inform themselves about the University and Study Programmes. During the interaction, they evaluated the robot's clarity of communication, accuracy of responses, and overall user experience. The findings indicate that while the AI enhancements generally improved Pepper's ability to communicate and provide information, areas such as voice recognition and response accuracy require further improvement. This research contributes to the field of human-robot interaction by illustrating a practical approach to augmenting existing service robots with AI capabilities. It underscores the importance of advanced AI integration in enhancing the functionality of service robots in educational environments. The study provides valuable insights into the broader application of AI-enhanced robots in the Information Guide role, highlighting the ongoing need for technological advancements in AI integration and humanrobot interaction. KW - Pepper robot KW - AI integration KW - Human-robot interaction KW - Educational technology KW - Client server KW - ChatGPT KW - Large Language Models Y1 - 2024 ER - TY - THES A1 - Schink, Lukas T1 - Pepper: Der halbautonome, humanoide Service-Roboter N2 - 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 Interaktionsfähigkeit älterer Roboterplattformen verbessern können, sodass Roboter wie Pepper trotz ihres Alters und begrenzter physischer Fähigkeiten in sozialen und bildungsbezogenen Anwendungen relevant bleiben. Ziel der Forschung ist es, Peppers Kommunikations- und Interaktionsmöglichkeiten durch die Kombination seiner bestehenden und möglichen Funktionen mit den Sprachverarbeitungsfähigkeiten von ChatGPT zu erweitern. Hierzu wurde ein System entwickelt, das kontextbasierte Codes (Actioncodes) verwendet, die es dem Sprachmodell ermöglichen, Peppers Verhalten dynamisch zu steuern und flexibel auf Situationen zu reagieren. Dazu gehört die technische Anbindung von ChatGPT an die QiSDK, die Implementierung spezifischer Actioncodes sowie die Definition einer Persönlichkeit und kontextuellen Wissensbasis für den Roboter. Das System wurde auf Basis vorangegangener Feldversuche im Labor getestet und evaluiert. Die Ergebnisse zeigen, dass die Integration von ChatGPT Peppers Interaktionsfähigkeit signifikant verbessert, indem die Kommunikation natürlicher und die Reaktionen des Roboters flexibler werden. Diese Arbeit demonstriert, wie moderne Sprachmodelle dazu beitragen können, ältere Robotersysteme zu modernisieren und ihre Einsatzmöglichkeiten erheblich zu erweitern. KW - Robotik KW - Chat-GPT KW - Mensch-Roboter-Interaktion KW - Service-Roboter Y1 - 2025 ER - TY - THES A1 - Elmessiry, Abdalrahman T1 - implementation and investigation of a distributed robotic chess system N2 - 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. KW - ROS2 KW - Distributed Systems KW - Containerization KW - Chess Robot. Y1 - 2025 ER -