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pith:66Z3HHJO

pith:2026:66Z3HHJORFWTDXB34WUITPH6NF
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Adaptive Modular Geometric Control of Robotic Manipulators

Amir Hossein Barjini, Gokhan Alcan, Jouni Mattila, Mahdi Hejrati

Decomposing manipulator dynamics into modules enables local geometric controllers with a single adaptation gain that cut RMS position error by at least 12.2 percent.

arxiv:2603.03965 v3 · 2026-03-04 · eess.SY · cs.SY

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4 Citations open
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Claims

C1strongest claim

The proposed adaptive modular geometric control framework reduces the RMS position error by at least 12.2% compared with state-of-the-art controllers under almost the same control effort, while the nominal case establishes exponential stability.

C2weakest assumption

The overall manipulator dynamics can be decomposed into individual modules such that local geometric control laws can be designed independently while still guaranteeing global stability and performance.

C3one line summary

An adaptive modular geometric controller for robotic manipulators achieves exponential stability in nominal cases and reduces RMS position error by at least 12.2% versus state-of-the-art methods in simulations while using similar effort.

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First computed 2026-06-19T16:09:55.885099Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f7b3b39d2e896d31dc3be5a889bcfe6945ed218041cdd7770b98ea75412dff21

Aliases

arxiv: 2603.03965 · arxiv_version: 2603.03965v3 · doi: 10.48550/arxiv.2603.03965 · pith_short_12: 66Z3HHJORFWT · pith_short_16: 66Z3HHJORFWTDXB3 · pith_short_8: 66Z3HHJO
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/66Z3HHJORFWTDXB34WUITPH6NF \
  | 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: f7b3b39d2e896d31dc3be5a889bcfe6945ed218041cdd7770b98ea75412dff21
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "eess.SY",
    "submitted_at": "2026-03-04T11:55:53Z",
    "title_canon_sha256": "a76ac328810d3336dc15fa9aade3e40a702ee106c9e90eea023540b2b4da6f38"
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