Failure Identification in Imitation Learning Via Statistical and Semantic Filtering
arXiv:2604.13788v1 Announce Type: new
Abstract: Imitation learning (IL) policies in robotics deliver strong performance in controlled settings but remain brittle in real-world deployments: rare events such as hardware faults, defective parts, unexpect…