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Matching papers

N_0-VTLA: Scaling Vision-Tactile-Language-Action Model with Latent Tactile Tokens

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

This paper introduces a vision-tactile-language-action model that can perform fine-grained manipulation with tactile perception and control, and improve its policy offline from stored data. Practitioners may care because this model can be used to create more versatile and accurate tactile-driven manipulation policies.

vision-tactile-language-action modelscontinual learningoffline reinforcement learningtactile feedbackrobot manipulation

RynnBrain 1.1: Towards More Capable and Generalizable Embodied Foundation Model

32 upvotes · 20 JUL 2026 · Kehan Li, Bohan Hou, Minghao Zhu et al.

This paper introduces RynnBrain 1.1, a family of large-scale embodied foundation models that can perform tasks like spatial reasoning, localization, and planning, and shows promising results in real-world robot experiments. Practitioners may care about the potential of these models for robot manipulation and control.

embodied foundation modelsphysically grounded frameworksspatial reasoningrobot manipulation3D groundingreal-robot experiments