IAGF-SA adds a physically-grounded channel to shared autonomy by modulating robot impedance to convey intent, improving task performance, agreement, and user experience in three scenarios per user studies.
Residual policy learning for shared autonomy
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
GLOVES learns flow models from limited expert demonstrations to selectively correct actions from non-expert policies or operators toward expert distributions using reverse-flow OOD detection as an intervention gate.
citing papers explorer
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Shared Autonomy Assisted by Impedance-Driven Anisotropic Guidance Field
IAGF-SA adds a physically-grounded channel to shared autonomy by modulating robot impedance to convey intent, improving task performance, agreement, and user experience in three scenarios per user studies.
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Flow-based Policy Adaptation without Policy Updates
GLOVES learns flow models from limited expert demonstrations to selectively correct actions from non-expert policies or operators toward expert distributions using reverse-flow OOD detection as an intervention gate.