Research

For reliable navigation in public places, a highly accurate map is required for a mobile robot. However, it is extremely time-consuming and expensive to maintain accurate maps of all places at all times. In this project, we develop a new class of machine learning techniques to overcome this challenge in order for a mobile robot to reliably navigate public places without the need for highly accurate maps. The ultimate goal of the project is to develop human-like navigation skills for mobile robots.

Funded by the Ministry of Science and ICT (MSIT).

The goal of this project is to understand the progressive developmental process of the basic principles of intelligence and cognitive abilities of the human brain using developmental cognitive theory, computational neuroscience, and brain-based artificial intelligence. In addition, we aim to develop the next-generation machine learning technology which can simulate a brain with child-level cognitive abilities through incremental growth.

Funded by the Ministry of Science and ICT (MSIT).