Robots detect underspecified reward features via demonstration variation and query targeted natural language explanations to improve reward recovery from imperfect demos.
Huang, and Anca D
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
Video study finds explicit signals like text and audio improve prediction accuracy, confidence, and trust for a quadruped robot's navigation actions more than expressive motion alone.
citing papers explorer
-
Robots That Know What to Ask: Recovering Misaligned Rewards through Targeted Explanations
Robots detect underspecified reward features via demonstration variation and query targeted natural language explanations to improve reward recovery from imperfect demos.
-
Do Robots Need Body Language? Comparing Communication Modalities for Legible Motion Intent in Human-Shared Spaces
Video study finds explicit signals like text and audio improve prediction accuracy, confidence, and trust for a quadruped robot's navigation actions more than expressive motion alone.