Learning Human Objectives from Sequences of Physical Corrections
Mengxi Li Alper Canberk Dylan P. Losey Dorsa Sadigh Mengxi Li Alper Canberk Dylan P. Losey Dorsa Sadigh
When personal, assistive, and interactive robots make mistakes, humans naturally and intuitively correct those mistakes through physical interaction. In simple situations, one correction is sufficient to convey what the human wants. But when humans are working with multiple robots or the robot is performing an intricate task often the human must make several corrections to fix the robot’s behavior...