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.

Curious robots

• 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.

Curiosity assessment

• 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.

Contact:
Email: gorengor@post.tau.ac.il
Phone: 03-6408422
Website: https://www.curiositylabtau.co…
Office: Wolfson – Engineering, 410