7 citations · 11 across the 15 of their papers we have counts for
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eess.SY2023
Closing the Loop on Runtime Monitors with Fallback-Safe MPC
Rohan Sinha, Edward Schmerling, Marco Pavone
When we rely on deep-learned models for robotic perception, we must recognize that these models may behave unreliably on inputs dissimilar from the training data, compromising the…
cs.RO2023★ 2 cited
Semantic Anomaly Detection with Large Language Models
Amine Elhafsi, Rohan Sinha, Christopher Agia +3
As robots acquire increasingly sophisticated skills and see increasingly complex and varied environments, the threat of an edge case or anomalous failure is ever present. For examp…