ForeTac: Predictive Contact Guidance for Generative Robot Policies
cs.RO
Submitted: 2026-10-13
Updated: 2026-10-13
Project page: https://foretac.github.io
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- ViTacFormer: Learning Cross-Modal Representation for Visuo-Tactile Dexterous Manipulation
- Visuo-Tactile World Models
- OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robotic Manipulation
- TacForeSight: Force-Guided Tactile World Model for Contact-Rich Manipulation
- TouchWorld: A Predictive and Reactive Tactile Foundation Model for Dexterous Manipulation
- Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation
- FTP-1: A Generalist Foundation Tactile Policy Across Tactile Sensors for Contact-Rich Manipulation
- ContactWorld: What Representations Matter for Vision-Tactile Latent World Models in Contact-Rich Manipulation
- VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs
- Dream-Tac: A Unified Tactile World Action Model for Contact-Rich Robot Manipulation
- Adaptive Visuo-Tactile Fusion with Predictive Force Attention for Dexterous Manipulation
- Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- TouchGuide: Inference-Time Steering of Visuomotor Policies via Touch Guidance
- Inference-time Policy Steering via Vision and Touch
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