FARPLS: A Feature-Augmented Robot Trajectory Preference Labeling System to Assist Human Labelers' Preference Elicitation
The paper presents FARPLS, a data labeling tool that enhances human preference labeling of robot trajectories by highlighting critical features and dynamically adapting the labeling process to improve consistency, engagement, and preference criteria formation.
Apr 5, 2024
