OpenViTac: Learning and Benchmarking Visuo-Tactile Policies in a Unified Sim-and-Real Framework
cs.RO
Submitted: 2026-10-07
Updated: 2026-10-07
Project page: https://fvl-repo.github.io/OpenViTac
Terminology
Sources
- World Simulation with Video Foundation Models for Physical AI
- UniVTAC: A Unified Simulation Platform for Visuo-Tactile Manipulation Data Generation, Learning, and Benchmarking
- RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
- RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies
- Visuo-Tactile Transformers for Manipulation
- StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
- AnyTouch 2: General Optical Tactile Representation Learning For Dynamic Tactile Perception
- Tactile-VLA: Unlocking Vision-Language-Action Model's Physical Knowledge for Tactile Generalization
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features
- A Mechanistic Analysis of Sim-and-Real Co-Training in Generative Robot Policies
- Causal World Modeling for Robot Control
- Evaluating Real-World Robot Manipulation Policies in Simulation
- Dream-Tac: A Unified Tactile World Action Model for Contact-Rich Robot Manipulation
- ManiFeel: Benchmarking and Understanding Visuotactile Manipulation Policy Learning
- InternVLA-A1.5: Unifying Understanding, Latent Foresight, and Action for Compositional Generalization
- Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation
- Tactile Modality Fusion for Vision-Language-Action Models
- TacEx: GelSight Tactile Simulation in Isaac Sim -- Combining Soft-Body and Visuotactile Simulators
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