pith:5YASPIOR
Robot Squid Game: Quadrupedal Locomotion for Traversing Narrow Tunnels
Quadruped robots learn to traverse narrow tunnels by distilling specialized policies from procedurally generated environments into one unified policy.
arxiv:2605.13665 v1 · 2026-05-13 · cs.RO
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\usepackage{pith}
\pithnumber{5YASPIORTRTIQY2SBUV372WZDT}
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Record completeness
Claims
By synthesizing diverse tunnel structures during training and distilling navigation strategies into a generalizable policy our method achieves consistent traversal across complex spatial constraints where conventional approaches fail.
The assumption that policies trained on procedurally generated tunnel geometries will transfer effectively to real-world tunnel configurations without further adaptation or domain randomization beyond what is described.
A teacher-student RL policy distillation approach combined with procedural tunnel generation enables quadruped robots to traverse narrow tunnels consistently in both simulation and real-world tests.
References
Receipt and verification
| First computed | 2026-05-18T02:44:17.264799Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ee0127a1d19c668863520d2bbfead91cf64eb1709d17d13cbc079e436228129e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5YASPIORTRTIQY2SBUV372WZDT \
| 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: ee0127a1d19c668863520d2bbfead91cf64eb1709d17d13cbc079e436228129e
Canonical record JSON
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