pith:6YSUXMGK
From Video to Control: A Survey of Learning Manipulation Interfaces from Temporal Visual Data
Video-based robot manipulation methods are limited most by how predictions connect to reliable physical actions.
arxiv:2604.04974 v2 · 2026-04-04 · cs.RO
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\pithnumber{6YSUXMGKEKLRH2SOQGZTFEACPY}
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Record completeness
Claims
A cross-family synthesis reveals that the most pressing open challenges center on the robotics integration layer -- the mechanisms that connect video-derived predictions to dependable robot behavior.
That the three-family interface-centric taxonomy captures the essential distinctions among existing methods without leaving out important approaches or creating artificial boundaries.
A survey introduces an interface-centric taxonomy for video-to-control methods in robotic manipulation and identifies the robotics integration layer as the central open challenge.
Formal links
Receipt and verification
| First computed | 2026-06-03T01:05:12.603356Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f6254bb0ca229713ea4e81b33290027e3ef05c866e1b6f18ab3b342e0d824b79
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6YSUXMGKEKLRH2SOQGZTFEACPY \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: f6254bb0ca229713ea4e81b33290027e3ef05c866e1b6f18ab3b342e0d824b79
Canonical record JSON
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