TactileReflex: Noise-Statistics-Driven Vision-Tactile Reflex Control for Force-Sensitive Manipulation

arXiv:2605.23568 · cs.RO, cs.SY, eess.SY · Submitted 2026-05-22 · Read on arXiv

cs.RO, cs.SY, eess.SY

Submitted: 2026-05-22

Updated: 2026-09-23

Project page: https://shayfeng.github.io/TactileReflex

Terminology

• Calibration — 23× in this paper · explained in 7 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Adaptation — 4× in this paper · explained in 1 episode
• Robustness — 4× in this paper · explained in 5 episodes
• Optical Flow — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Action Flow — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Vision-Language-Action (VLA) Models — 1× in this paper · explained in 2 episodes

Sources

• Tactile-VLA: Unlocking Vision-Language-Action Model's Physical Knowledge for Tactile Generalization
• The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
• RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
• $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

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