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TableVerse: A Large-scale Tabletop Dataset with Real-world Grounded Layouts for Generalizable Manipulation

5 upvotes · 23 JUL 2026 · Boyuan Wang, Yue Zhang, Xutao Xue et al.

This paper introduces TableVerse, a large-scale dataset of tabletop environments that are realistic, physically consistent, and suitable for training generalizable robotic manipulation policies. Practitioners can use this dataset to improve the performance of robots in tasks like pick-and-place manipulation.

robotic manipulationtabletop environmentsreal-world datasimulation-ready datasetsautomated data generation