Abstract: Various embodiments described herein relate to techniques for reinforcement learning based conveyoring control. In this regard, a conveyor system is configured to transport one or more objects via a conveyor belt. Furthermore, a vision system comprises one or more sensors configured to scan the one or more objects associated with the conveyor system. A processing device is configured to employ a machine learning model to determine object pose data associated with the one or more objects. The processing device is further configured to generate speed control data for the conveyor belt of the conveyor system based on a set of control policies associated with the object pose data.

Abstract: A truck unloader for unloading cartons from a carton pile includes a controller with a detection system configured to periodically receive one or more images from a vision system and a processor subsystem in connection with the detection system. The processor subsystem configured to calculate a distance from at least a portion of the truck unloader to the carton pile based on the one or more images and advance the truck unloader to perform a sweeping operation based on the distance in an instance in which the distance satisfies a predefined distance threshold. The processor subsystem further configured to monitor a torque input received as a feedback from the one or more sensors while performing the sweeping operation, wherein the sweeping operation is configured to continue until the torque input exceeds a predefined torque threshold.

Abstract: Various embodiments described herein relate to techniques for reinforcement learning based conveyoring control. In this regard, a conveyor system is configured to transport one or more objects via a conveyor belt. Furthermore, a vision system comprises one or more sensors configured to scan the one or more objects associated with the conveyor system. A processing device is configured to employ a machine learning model to determine object pose data associated with the one or more objects. The processing device is further configured to generate speed control data for the conveyor belt of the conveyor system based on a set of control policies associated with the object pose data.