INTERACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions

The author proposes the INTERACT model to predict human intentions by conditioning on future robot actions, addressing the challenge of human-robot collaboration. The core argument is that leveraging large-scale human-human interaction data can facilitate transfer learning for improved intent prediction in collaborative manipulation tasks.