TacClaw-Infinity: A Large-Scale Vision-Tactile-Language-Action Dataset for Dexterous Manipulation
cs.RO
Submitted: 2026-10-14
Updated: 2026-10-14
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- ViTaMIn: Learning Contact-Rich Tasks Through Robot-Free Visuo-Tactile Manipulation Interface
- FreeTacMan: Robot-free Visuo-Tactile Data Collection System for Contact-rich Manipulation
- FastUMI-100K: Advancing Data-driven Robotic Manipulation with a Large-scale UMI-style Dataset
- RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment Generalization
- VISTA: Vision-Grounded and Physics-Validated Adaptation of UMI data for VLA Training
- HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone
- UMI-Bench 1.0: An Open and Reproducible Real-World Benchmark for Tabletop Robotic Manipulation with UMI Data
- ViTaMIn-B: A Reliable and Efficient Visuo-Tactile Bimanual Manipulation Interface
- TAMEn: Tactile-Aware Manipulation Engine for Closed-Loop Data Collection in Contact-Rich Tasks
- OmniUMI: Towards Physically Grounded Robot Learning via Human-Aligned Multimodal Interaction
- AetheRock: An Arm-Worn Robot Teaching System for Force-Guided Vision-Tactile Learning
- DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation
- RealDexUMI: A Wearable Universal Manipulation Interface for Dexterous Robot Learning
- WT-UMI: Tactile-based Whole-Body Manipulation via Force-Supervised Contact-Aware Planning
- TLA: Tactile-Language-Action Model for Contact-Rich Manipulation
- VTLA: Vision-Tactile-Language-Action Model with Preference Learning for Insertion Manipulation
- OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robotic Manipulation
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