pith:MVQLCYDA
Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
A hierarchical vision-language model lets robots interpret complex instructions and real-time feedback to choose and perform next steps.
arxiv:2502.19417 v2 · 2025-02-26 · cs.RO · cs.AI · cs.LG
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\usepackage{pith}
\pithnumber{MVQLCYDAV5XYQOSFXCJZJTZ4P5}
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Record completeness
Claims
our system can reason through complex prompts and incorporate situated feedback during task execution ('that's not trash')
That the high-level VLM can reliably map open-ended natural language and visual feedback into correct next-step decisions without hallucinating or misinterpreting physical context.
A hierarchical VLA architecture lets robots follow complex instructions and situated feedback by separating high-level reasoning from low-level control.
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Cited by
Receipt and verification
| First computed | 2026-05-17T23:38:49.872422Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6560b16060af6f883a45b89394cf3c7f69d4dc0f491bc183b2b52a5082e3020b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MVQLCYDAV5XYQOSFXCJZJTZ4P5 \
| 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: 6560b16060af6f883a45b89394cf3c7f69d4dc0f491bc183b2b52a5082e3020b
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
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"submitted_at": "2025-02-26T18:58:41Z",
"title_canon_sha256": "3b1fdea721df6a4839273c19af265454d6171db77f88a82f2f1d4d419a24a8a0"
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