System and Method for Online Optimization of Sensor Fusion Model

A system comprising:

• a robot having a plurality of sensors and a controller, the controller configured to operate the robot, at least in part, based on one or more responses from a first operation model to an input of a sensed data from the plurality of sensors;
• one or more databases communicatively coupled to the robot, the one or more databases configured to collect data regarding the operation of the robot on a workpiece;
• and
• one or more computational members communicatively coupled to the one or more databases and the robot, the one or more computational members configured to:
• generate a second operation model based on an optimization of the first operation model using at least a portion of the collected data;
• generate, in parallel with the generation of the second operation model, a train data-driven model, the train data-driven model being based on an end-to-end learning approach that utilizes at least a portion of the collected data;
• evaluate both the second operation model and the train data-driven model;
• select, based on a result of the evaluation, one of the second operation model and the train data-driven model;
• and
• validate, using at least a portion of the collected data, the selected one of the second operation model and the train data-driven model for use in the operation of the robot.