Improving fault detection and isolation in agricultural robotics

The robotization of agricultural tasks is booming globally, made possible thanks to the development of robotic platforms equipped with agricultural tools. These technological tools (sensors, effectors, etc.) can cause faults which compromise productivity. This chapter presents a review of state of the art of fault diagnosis methods followed by presentation of a Robot Fault Diagnosis Supervision System (S2D2R). S2D2R which is composed of a hybrid diagnostic method (MHD) and a human robot interaction module (MIHR) aims to detect faults as quickly as possible and then inform an operator in order to resolve the problem. Evaluation of the system in real conditions for faults such as wheel locks and in simulation for GPS faults or IMU faults is presented.