2026
Reliable Robotic Task Execution in the Face of Anomalies
RA-L 2026
Learned robot policies have consistently been shown to be versatile, but they typically have no built-in mechanism for handling the complexity of open environments, making them prone to execution failures; this implies that deploying policies without the ability to recognise and react to failures ma