Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors

Michelle A. Lee
Michelle A. Lee
Matthew Tan
Matthew Tan
Cited by: 0|Bibtex|Views7
Other Links: arxiv.org

Abstract:

Using sensor data from multiple modalities presents an opportunity to encode redundant and complementary features that can be useful when one modality is corrupted or noisy. Humans do this everyday, relying on touch and proprioceptive feedback in visually-challenging environments. However, robots might not always know when their sensors...More

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