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About

Marcus Soll is a researcher at the forefront of human-robot interaction (HRI), with a particular focus on making robots more adaptive, personal, and educationally useful. His work centers on the key research areas of personalised HRI, social robotics, and collaborative robotics education. Soll’s most significant contribution is his pioneering exploration of how robots can model personalised dialogue and adapt their behavior to individual users, a concept detailed in his highly cited 2017 paper, "The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios" (66 citations). This work demonstrates that robots can track users, remember them, and tailor conversations to foster more natural and effective interactions, as further illustrated in his video presentation "Hey robot, why don't you talk to me?" (16 citations). Beyond social interaction, Soll has made notable strides in engineering education, designing a remote collaborative robotics laboratory to improve student access to hands-on learning. His didactic design work, published in 2023, addresses the critical challenge of teaching collaborative robotics technology in accessible, scalable ways. With a career spanning foundational HRI principles to practical educational tools, Marcus Soll is shaping how robots learn to connect with us and how we learn to work with them.