LF-Former: A Multi-Agent Policy With Ordered Decision Structures for Multi-Arm Manipulation
Imitation learning has shown strong performance in robotic manipulation. Extending it to multi-arm settings, however, remains challenging because coordination becomes increasingly difficult as the number of arms grows. To address this, we propose the leader-follower transformer (LF-Former), a multi-agent policy archite...