Cedric De Boom

2 accepted papers

2020

Anomaly Detection for Autonomous Guided Vehicles using Bayesian Surprise

Ozan Çatal, Sam Leroux, Cedric De Boom, Tim Verbelen, Bart Dhoedt

IROS 2020poster

As warehouses, storage facilities and factories become more expanded and equipped with smart devices, there is a substantial need for rapid, intelligent and autonomous detection of unusual and potentially hazardous situations, also called anomalies. In particular for Autonomous Guided Vehicles (AGVs…

Cited by 17 Source ↗Scholar ↗

2020

Learning Perception and Planning With Deep Active Inference

Ozan Çatal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt

ICASSP 2020accepted

Active inference is a process theory of the brain that states that all living organisms infer actions in order to minimize their (expected) free energy. However, current experiments are limited to predefined, often discrete, state spaces. In this paper we use recent advances in deep learning to lear…

Cited by 0 Source ↗Scholar ↗