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  1. Home
  2. Signal Canvas
  3. OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robot
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OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robotic Manipulation

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Viability
0.0/10

Compared to this week’s papers

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 58

Proof: pending

Distribution: unknown

Source paper: OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robotic Manipulation

PDF: https://arxiv.org/pdf/2603.19201v1

First buyer signal: unknown

Distribution channel: unknown

Starting…

Dimensions overall score 7.0

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Builds On This
HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensing
Score 3.0down
Prior Work
How to Train your Tactile Model: Tactile Perception with Multi-fingered Robot Hands
Score 7.0stable
Prior Work
TacVLA: Contact-Aware Tactile Fusion for Robust Vision-Language-Action Manipulation
Score 7.0stable
Prior Work
Tac2Real: Reliable and GPU Visuotactile Simulation for Online Reinforcement Learning and Zero-Shot Real-World Deployment
Score 7.0stable
Prior Work
FlowTouch: View-Invariant Visuo-Tactile Prediction
Score 7.0stable
Higher Viability
DexViTac: Collecting Human Visuo-Tactile-Kinematic Demonstrations for Contact-Rich Dexterous Manipulation
Score 8.0up
Higher Viability
ViTaS: Visual Tactile Soft Fusion Contrastive Learning for Visuomotor Learning
Score 8.0up
Higher Viability
ForceVLA2: Unleashing Hybrid Force-Position Control with Force Awareness for Contact-Rich Manipulation
Score 8.0up

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