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Matching papers

N_0-TWAM: Scaling Tactile-Native World-Action Model for Contact-Rich Manipulation

26 upvotes · 26 JUL 2026 · NeoteAI Team, Fudan TEAI Team

This paper introduces a new model, N_0-TWAM, that can predict both future vision and future contact in tasks that involve contact-rich manipulation. Practitioners in robotics and manipulation might care because this model can improve the ability of robots to perform complex tasks that require both vision and tactile feedback.

tactile-native world-action modelscontact-rich manipulationforce-based tactile representationmulti-stage manipulationreal-time efficiencyrobotic manipulation

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