The lab specializes in state-of-the-art algorithms of artificial curiosity, including deep learning, active learning and reinforcement learning algorithms.
The lab has several types of social robots, both commercial (Nao, Baxter) and in-house built using 3d-printing (Patricc).
The lab works with the Ministry of Education for introducing social robots in the educational system for the promotion of 21st century skills.
Specific research topics:
Mathematical modelling of curiosity
- The study of mathematical formulation of curiosity.
- Development of deep learning-based curiosity algorithms.
- Development of curious robots, that learn by themselves about their own body, their environment and their social counterparts.
- Social curious robots for promotion of curiosity in children.
The curious data scientist
- Development of artificial curiosity-based data science algorithms.
- Curious Feature Selection.
- Development of model-based quantitative tools for curiosity assessment.
- Assessment of physical and social curiosity with social robots.
- Online games for scalable assessment of curiosity for children.
Social robots for education
- Social robot for toddlers’ English second language learning.
- Robot teacher of Hebrew root and morphological awareness (in collaboration with Dr. Einat Gonen).
- Robot facilitator for small group discussions.
- Social robot for promotion of curiosity and growth mindset in children.
Virtual agents for education
- Avatar facilitator for small group discussion in Zoom.
Office: Wolfson - Engineering, 410