pith:52LMZBN7
M2HRI: An LLM-Driven Multimodal Multi-Agent Framework for Personalized Human-Robot Interaction
Distinct robot personalities and long-term memory, coordinated by an LLM, produce more coherent and personalized multi-robot interactions with humans.
arxiv:2604.11975 v2 · 2026-04-13 · cs.RO
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\pithnumber{52LMZBN7CQBQ6WYI2KLIIXMYKM}
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Claims
Together, these results demonstrate that both agent individuality and structured coordination are essential for coherent and socially appropriate multi-agent HRI.
The controlled user study (n=105) findings on personality distinguishability, memory benefits, and coordination improvements generalize to real-world, long-term multi-robot interactions in social environments.
M2HRI equips multi-robot teams with LLM-driven distinct personalities, long-term memory, and conditioned coordination, with a 105-participant study showing gains in distinguishability, personalization, and interaction quality.
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| First computed | 2026-06-23T02:13:23.792669Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/52LMZBN7CQBQ6WYI2KLIIXMYKM \
| 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: ee96cc85bf14030f5b08d296845d9853083057d6872dc1cd94cb049b82317bc8
Canonical record JSON
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