Max Robotics — Global Service Robot Directory + US Certification

About

Jos Prinsen is a researcher at the forefront of human-robot interaction (HRI) and brain-computer interfaces (BCI), with a focus on enhancing learning and assistive technologies. His key research areas include adaptive robotics, passive BCI for engagement monitoring, and the integration of large language models (LLMs) into HRI. Prinsen’s major contributions are exemplified by his work on embodied interaction with adaptive robot tutors, where he demonstrated that real-time adaptation based on user engagement significantly improves learning performance—a study that has garnered 13 citations. He also pioneered a passive BCI system for monitoring attention during robot-assisted language learning, enabling personalized pedagogical strategies (12 citations). Notably, his comparative study of Wizard-of-Oz versus GPT-4 for perceived social intelligence in HRI brainstorming (9 citations) highlights his innovative use of LLMs to replace human-controlled robots, advancing autonomous HRI. Additionally, Prinsen developed a BCI-controlled robot assistant for navigation and object manipulation in VR smart home environments (5 citations), showcasing his versatility in assistive robotics. His work bridges cognitive science, AI, and robotics, offering practical solutions for education and accessibility.