TACTIC: Understanding Tactile Encoders and Conditioning for Contact-rich Robot Manipulation Policies
cs.RO
Submitted: 2026-09-25
Updated: 2026-09-25
Project page: https://utn-air.github.io/TACTIC
Terminology
Sources
- ManiFeel: Benchmarking and Understanding Visuotactile Manipulation Policy Learning
- TacO: Benchmarking Tactile Sensors for Object Manipulation
- GelFusion: Enhancing Robotic Manipulation under Visual Constraints via Visuotactile Fusion
- OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robotic Manipulation
- TacVLA: Contact-Aware Tactile Fusion for Robust Vision-Language-Action Manipulation
- Tactile-VLA: Unlocking Vision-Language-Action Model's Physical Knowledge for Tactile Generalization
- TaF-VLA: Tactile-Force Alignment in Vision-Language-Action Models for Force-aware Manipulation
- SARL: Spatially-Aware Self-Supervised Representation Learning for Visuo-Tactile Perception
- Spatially anchored Tactile Awareness for Robust Dexterous Manipulation
- ReTac-ACT: A State-Gated Vision-Tactile Fusion Transformer for Precision Assembly
- CONTACT: CONtact-aware TACTile Learning for Robotic Disassembly
- Understanding intermediate layers using linear classifier probes
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