19. January 2024

Classroom Robots Helping Children Classroom Robots Helping Children

The University of Bonn is developing low-data robots to be used as avatars for sick children at their school

Mobile robots enabling chronically ill schoolchildren to participate in lessons: this is the objective of a new joint development project by the universities of Bonn, Göttingen (coordinator) and Duisburg-Essen, in collaboration with chilli mind GmbH. Protecting the privacy of all parties involved poses a particular project challenge.

Professor Maren Bennewitz
Professor Maren Bennewitz - Head of the University of Bonn Humanoid Robots Lab, amid various robots. © Volker Lannert/University of Bonn
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Kids and teens often complain about school, but interacting with others during the schoolday fulfills a need for contact with their peers, which is important for their well-being and social development. Children suffering from chronic illness are often forced to go without such contact. Conducted in collaboration with the University of Bonn Humanoid Robots Lab, the project is titled “Privacy-Friendly Mobile Avatar for Sick Schoolchildren” (PRIVATAR). The idea is to help sick children by enabling them to participate in lessons and everyday school life through the agency of mobile robots. At the school, the robots are used as avatars, functioning as the legs, eyes, ears and mouth, as it were, for home-bound sick children. One big challenge to be overcome is protecting the privacy of classmates, teachers and of the sick children themselves.

“The robots have many different sensors that enable them to safely navigate their environment and interact with people,” explains Professor Maren Bennewitz, Head of the Humanoid Robots Lab, “detecting furniture, for example, but also perceiving movements and recognizing faces—to which or whom the robot can then react. Much of the data processed to make this possible concerns the private sphere of the individual, such as location, movement patterns and video-recorded data.

Professor Bennewitz is a board member of the PhenoRob Cluster of Excellence and a member of the Modelling Transdisciplinary Research Area at the University of Bonn. She elaborates: “Our goal is to develop mobile robots that use as little sensor data as possible, so as to protect the privacy of individuals in the classroom while ensuring safe and efficient interactions.”

Bennewitz and her team are deploying their expertise in a sub-project devoted to making robot navigation user-friendly for children and teachers, which includes in particular the ability to enable and disable sensors based on user preferences. Nils Dengler, a doctoral student involved in the project, explains: “Among other objectives, we want to have controls allowing children and teachers to configure their desired settings without needing assistance. For example, users can change privacy settings and choose how closely the robot may approach them.”

One special challenge in this regard is keeping the mobile avatar functional even when individual sensors are temporarily or permanently disabled or its temporal or spatial resolution is decreased. “Users need to be informed and aware that robot functionalities may be limited in such cases.”

The interfaces developed as part of the project will ultimately be integrated into a larger mobile robot control system, in collaboration with our partners. These “low-data” robots could be used in museums and for other applications beyond the school context.

Service robots
Service robots - similar to this one will function as classroom avatars for sick children unable to attend school. © Volker Lannert/University of Bonn

The research initiative “Privacy-Friendly Mobile Avatar For Sick Schoolchildren” (PRIVATAR) is coordinated by the University of Göttingen, with the University of Duisburg-Essen and chilli mind GmbH on board as project partners in addition to the University of Bonn. The Federal Ministry of Education and Research (BMBF) has allocated approximately 316,000 euros in funding for PRIVATAR within the framework of its Privacy Platform. The BMBF Privacy Platform has been created for the purpose of studying and understanding negative impacts of digitalization on society, with the aim of identifying alternative development approaches effective for upholding privacy and data security to protect the fundamental rights of citizens.

Prof. Dr. Maren Bennewitz
Humanoid Robots Lab
Institute for Computer Science
University of Bonn
Phone: +49 228 73-54164
E-Mail: maren@cs.uni-bonn.de

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