AAAI 2026technical0 citations
FoAM: Foresight-Augmented Multi-Task Imitation Policy for Robotic Manipulation
Litao Liu, Wentao Wang, Yifan Han, Zhuoli Xie, Pengfei Yi, Junyan Li, Wenzhao Lian
Abstract
Multi-task imitation learning (MTIL) has shown significant potential in robotic manipulation by enabling agents to perform various tasks using a single policy. It simplifies the policy deployment and enhances the agent
BibTeX
@inproceedings{aaai2026_foamforesightaug,
title = {FoAM: Foresight-Augmented Multi-Task Imitation Policy for Robotic Manipulation},
author = {Litao Liu and Wentao Wang and Yifan Han and Zhuoli Xie and Pengfei Yi and Junyan Li and Wenzhao Lian},
booktitle = {AAAI 2026},
year = {2026}
}