Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies

Taeyeong Choi, Owen Would, Adrian Salazar-Gomez +1

Data augmentation can be a simple yet powerful tool for autonomous robots to fully utilise available data for selfsupervised identification of atypical scenes or objects. State-of-…