Trinity Chung on X: “5/ Training tactile student policies on 3 tasks, we find that: - Whole…”

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Trinity Chung

@Milotrince

Jul 13

4/ Tactile hardware is incredibly diverse, and it’s unclear what kind of sensor or robot hand is worth buying. Using our sim, we vary sensor type, placement, resolution, and noise across dexterous tasks to compare how different tactile data actually affects robot learning.

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Trinity Chung

@Milotrince

Replying to @Milotrince

5/ Training tactile student policies on 3 tasks, we find that:
- Whole-hand sensor placement matters more than sensor type.
- Force+torque representations consistently outperform force-only, binary, and others.
- Resolution and fidelity matters less than placement and type.

Jul 13, 2026, 2:48 PM UTC

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