Effective handling of scrap material with swarm robots

A computer system, the computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more computer-readable tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more computer- readable memories, wherein the computer system is capable of performing a method comprising:
• receiving images of scrap material in a multi-machine environment;
• dividing the scrap material into a plurality of zones based on the images;
• identifying one or more characteristics of the divided scrap material in at least one zone of the plurality of zones;
• determining whether the divided scrap material is in a target location in the at least one zone;
• in response to determining the divided scrap material is in the target location in the at least one zone:
• printing a net around the divided scrap material in the at least one zone in accordance with the one or more characteristics of the divided scrap material;
• and
• transporting the net containing the divided scrap material in the at least one zone to a final destination;
• and
• in response to determining the divided scrap material is not in the target location in the at least one zone:
• printing the net on a floor of the target location in the at least one zone in accordance with the one or more characteristics of the divided scrap material, wherein a reinforcement learning model is utilized to predict one or more specifications of the net;
• wrapping the printed net around the divided scrap material in the at least one zone in response to determining the divided scrap material has been dropped in the target location;
• and
• transporting the net containing the divided scrap material in the at least one zone to the final destination.

A computer program product, the computer program product comprising:

• one or more computer-readable tangible storage medium and program instructions stored on at least one of the one or more computer-readable tangible storage medium, the program instructions executable by a processor capable of performing a method, the method comprising:
• receiving images of scrap material in a multi-machine environment;
• dividing the scrap material into a plurality of zones based on the images;
• identifying one or more characteristics of the divided scrap material in at least one zone of the plurality of zones;
• determining whether the divided scrap material is in a target location in the at least one zone;
• in response to determining the divided scrap material is in the target location in the at least one zone:
• printing a net around the divided scrap material in the at least one zone in accordance with the one or more characteristics of the divided scrap material;
• and
• transporting the net containing the divided scrap material in the at least one zone to a final destination;
• and
• in response to determining the divided scrap material is not in the target location in the at least one zone:
• printing the net on a floor of the target location in the at least one zone in accordance with the one or more characteristics of the divided scrap material, wherein a reinforcement learning model is utilized to predict one or more specifications of the net;
• wrapping the printed net around the divided scrap material in the at least one zone in response to determining the divided scrap material has been dropped in the target location;
• and
• transporting the net containing the divided scrap material in the at least one zone to the final destination.