Interactive Robot Training for Temporal Tasks

Interactive Robot Training for Temporal Tasks

Publication
HRI Pioneers, Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction

Imagine a future where a domestic robot ships with a state-of-the-art learning from demonstrations (LfD) system to learn household tasks. You would like the robot to set the dinner-table for you when you get home at dinner time. After you demonstrate how to set the dinner table a couple of times. Would you be confident that robot will not try to place the saucer on top of the cup, or finish as much of the task as possible if an object was missing? I propose an interactive training framework that allows the user to begin the robot training by providing demonstrations, and later provide feedback on the acceptability of task executions performed by the robot.