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Curiosity Lab

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