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Source assessmentCore

Grounded Instruction Understanding with Large Language Models: Toward Trustworthy Human-Robot Interaction

human-robot interaction language modelsAcademic

Assessment outcome

total 5/6 (actionability 1 + authority 2 + currency 2)

Total5/6
Actionability1/2
Authority2/2
Currency2/2

Authorship & scope

Attribution (G4 evidence)

No evidence recorded for this source.

Issuer authority (evidence)

No evidence recorded for this source.

Issuers, who it governs, legal force and content are on the full record.

Eligibility gates

G1 · Retrievablepass

Passed in screening.

G2 · AI nexuspass

Passed in screening.

G3 · Governance nexuspass

Passed in screening.

G4 · Attributablepass

Passed in screening.

G5 · In forcepass

Passed in screening.

Scored criteria

Actionability

1/2

No rationale recorded.

Select the best response from the options above and explain your choice.

Authority

2/2

No rationale recorded.

Copyright © 2025, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

Currency

2/2

No rationale recorded.

Classification

Coverage topichuman-robot interaction language models
PerspectiveAcademic
Lifecycle stage3 Build & train model
Layermodel
GranularityNot recorded
Grounded Instruction Understanding with Large Language Models: Toward Trustworthy Human-Robot Interaction · CEI AI Governance Database