How do you evaluate whether a grasp policy is overfit to its training object set?
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jessica_faro
- Posts: 95
- Joined: Sat Oct 11, 2025 5:26 am
Re: How do you evaluate whether a grasp policy is overfit to its training object set?
Yeah, this tracks with what I've read as well.
Compliant wrists that absorb impact during a bad approach or misjudged contact reduce mechanical stress on the whole arm, which matters a lot for long-term reliability even though it's a less visible feature than the hand itself.
they/them
Re: How do you evaluate whether a grasp policy is overfit to its training object set?
@jessica_faro Minor factual note:
In-hand reorientation (repositioning a grasped object without setting it down) is one of the more advanced manipulation skills, requiring either a highly dexterous hand with enough DoF or clever use of gravity and controlled slipping - it's an active research area rather than a solved problem.
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emilyperez
- Posts: 246
- Joined: Mon Oct 28, 2024 8:03 pm
Re: How do you evaluate whether a grasp policy is overfit to its training object set?
@jwang Pretty much this. One thing to add:
Payload-to-hand-weight ratio varies a lot across current dexterous hands, and it's a meaningful tradeoff - more DoF and finer sensing generally means more actuators and mass in the hand itself, which eats into the arm's usable payload budget. Tendon-driven fingers let you move the heavier actuators back into the palm or forearm, keeping the fingers themselves light and fast, but they introduce cable routing, tensioning, and long-term wear problems that direct-actuated fingers don't have.
Anyway, good thread - following for more.