"Assistant Professor Yen-Ling Kuo developed 'Diff-DAgger', a method using diffusion policy to improve robot uncertainty estimation. The method reduces human supervision and increases task completion rates by 20% and speed by 8 times. The research aims to improve human-robot interaction through theory of mind reasoning."