Maximizing collaborative effectiveness among multi-robots with dynamic inter-exchangeability

A computer program product for maximizing collaborative effectiveness among multi-robots with dynamic inter-exchangeability, the computer program product comprising a computer readable storage medium having program instructions stored therewith, the program instructions executable by one or more processors, the program instructions executable to:

• identify inter-exchangeable parts among robots performing an activity in a multi-robotic ecosystem containing two or more types of robots;
• use digital twin models to simulate scenarios of combining respective ones of the inter-exchangeable parts of a first type of robot to a second type of robot;
• identify an optimum scenario in which collaborative effectiveness is maximized by exchanging the inter-exchangeable parts among the first type of robot to the second type of robot, based on results of digital twin model simulations;
• for the optimum scenario, identify, among the robots, first robots whose inter-exchangeable parts are to be exchanged;
• for the optimum scenario, identify, among the robots, one or more second robots that help the first robots exchange the inter-exchangeable parts;
• and
• instruct the first robots and the one or more second robots to perform physical exchange of the inter-exchangeable parts of the first robots.

A computer system for maximizing collaborative effectiveness among multi-robots with dynamic inter-exchangeability, the computer system comprising one or more processors, one or more computer readable tangible storage devices, and program instructions stored on at least one of the one or more computer readable tangible storage devices for execution by at least one of the one or more processors, the program instructions executable to:

• identify inter-exchangeable parts among robots performing an activity in a multi-robotic ecosystem containing two or more types of robots;
• use digital twin models to simulate scenarios of combining respective ones of the inter-exchangeable parts of a first type of robot to a second type of robot;
• identify an optimum scenario in which collaborative effectiveness is maximized by exchanging the inter-exchangeable parts among the first type of robot to the second type of robot, based on results of digital twin model simulations;
• for the optimum scenario, identify, among the robots, first robots whose inter-exchangeable parts are to be exchanged;
• for the optimum scenario, identify, among the robots, one or more second robots that help the first robots exchange the inter-exchangeable parts;
• and
• instruct the first robots and the one or more second robots to perform physical exchange of the inter-exchangeable parts of the first robots.