FTP-1 is the first foundation tactile policy pretrained on ~3000 hours of data from 26 sources across 21 sensors that improves performance on seen setups by 17.2% and transfers to unseen sensors with 31% success rate gain.
Univtac: A unified simulation platform for visuo-tactile manipulation data generation, learning, and benchmarking
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
fields
cs.RO 6years
2026 6verdicts
UNVERDICTED 6representative citing papers
TaCauchy is a new FEM framework for vision-based tactile simulation in Isaac Sim that computes stress tensors from hyperelastic laws using the UIPC solver for accurate force and pressure distributions.
A multi-modal learning framework aligns simulated and real tactile data in a shared latent space for zero-shot sim-to-real transfer, with reported gains from multi-physics modalities and a released simulation implementation.
AnnotateAnything converts passive 3D assets into manipulation-ready assets by combining vision-language reasoning for semantics with parallel physics pipelines for executable action annotations such as grasps and articulations.
WorldArena 2.0 extends embodied world model benchmarks to visuotactile perception, interactive policy training, and diverse real and simulated robotic platforms under a unified protocol.
IsaacIPC couples IPC contact simulation with IsaacSim/Lab for realistic rendering and introduces GMCP for tactile contact pressure modeling, demonstrated on robotic examples.
citing papers explorer
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FTP-1: A Generalist Foundation Tactile Policy Across Tactile Sensors for Contact-Rich Manipulation
FTP-1 is the first foundation tactile policy pretrained on ~3000 hours of data from 26 sources across 21 sensors that improves performance on seen setups by 17.2% and transfers to unseen sensors with 31% success rate gain.
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TaCauchy: An Extensible FEM Framework for Vision-Based Tactile Simulation
TaCauchy is a new FEM framework for vision-based tactile simulation in Isaac Sim that computes stress tensors from hyperelastic laws using the UIPC solver for accurate force and pressure distributions.
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TactSpace: Learning a Physics-enriched Shared Latent Space for Tactile Sim-to-Real Transfer
A multi-modal learning framework aligns simulated and real tactile data in a shared latent space for zero-shot sim-to-real transfer, with reported gains from multi-physics modalities and a released simulation implementation.
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AnnotateAnything: Automatic Annotation of 3D Assets for Robot Manipulation
AnnotateAnything converts passive 3D assets into manipulation-ready assets by combining vision-language reasoning for semantics with parallel physics pipelines for executable action annotations such as grasps and articulations.
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WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform
WorldArena 2.0 extends embodied world model benchmarks to visuotactile perception, interactive policy training, and diverse real and simulated robotic platforms under a unified protocol.
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IsaacIPC: Coupling High-Fidelity Simulation and Realistic Rendering for Contact-Rich Robotic Systems
IsaacIPC couples IPC contact simulation with IsaacSim/Lab for realistic rendering and introduces GMCP for tactile contact pressure modeling, demonstrated on robotic examples.