Our lab is selected as SW Star Lab


Robot Learning: Efficient, Safe, and Socially-Acceptable Machine Learning

The goal of this project is to develop efficient, safe, and socially friendly machine learning so that autonomous robots can coexist with people in various environments. In this project, we develop socially friendly robot learning technology that enables efficient reinforcement learning with less data and ensures safety. The developed technology will be applied to autonomous robots for verification and further refinement. The main applications of this project are a delivery robot based on an autonomous driving algorithm and a safe and socially friendly housekeeping robot using image and language information. In addition, we plan to develop core technologies for autonomous robots and share developed software with AI and robotics communities.

This project is funded by the Ministry of Science and ICT (MSIT).