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ProWorld: Multi-View World Model with Proprioceptive Feedback for Closed-Loop Policy Evaluation

Zijun Wang, Tianyi Yan, Haokun Lin, Panwen Hu, Bohang He, Siyu Ren, Xiaoyu Guo, Weijia Liufu, Shuoshuo Xue, Fengjiao Chen, Zipeng Ye, Xuezhi Cao, Zutao Jiang, Hanhui Li, Xiaodan Liang
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From the abstract

Evaluating robot manipulation policies through repeated physical trials is costly. We study whether an action-conditioned world model can serve as a closed-loop test environment whose policy success rates track those on real robots.

From the abstract. Our summary is in progress.