pith:UECOX4ZM
Adaptive vs. Static Robot-to-Human Handover: A Study on Orientation and Approach Direction
Adaptive robot handovers that adjust object orientation in real time reduce user cognitive workload and stress.
arxiv:2604.22378 v2 · 2026-04-24 · cs.RO
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\pithnumber{UECOX4ZMFOKFOVIZADXXZNUXJB}
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Record completeness
Claims
The results demonstrate that dynamic alignment significantly reduces users' cognitive workload and physiological stress, while increasing perceived trust in the robot's reliability.
That real-time AI hand pose estimation reliably infers the user's intended grasp and downstream task without significant errors or delays under varying conditions.
An adaptive robot-to-human handover framework dynamically aligns object pose via hand pose estimation and task awareness, yielding lower workload, reduced physiological stress, and higher trust than static baselines in a user study.
Receipt and verification
| First computed | 2026-06-23T02:13:24.205592Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a104ebf32c2b9457551900ef7cb697487d116e01087b902120be212dc0802ea1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UECOX4ZMFOKFOVIZADXXZNUXJB \
| 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: a104ebf32c2b9457551900ef7cb697487d116e01087b902120be212dc0802ea1
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
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"submitted_at": "2026-04-24T09:14:44Z",
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