Orchestration of Advanced Motor Skills in a Group of Humans through an Elitist Visual Feedback Mechanism

A group of humans with diverse body dynamics and training backgrounds working on machines with different dynamics can be considered as a system of live systems. This paper presents a method that can be adopted to automate the evolution of an elite skill in a factory of workers operating a given type of machines to produce a given product through successive induction of an evolved elite skill on other workers. It also proposed a simple model that can be used to explain complex phenomena that can not be explained by the conventional learning schemes. A wireless data exchange system was adopted to transmit the machine speed profiles to a central data server. A technical expert selected the current elite speed profile from among the database of profiles registered by each worker in the server and broadcast the selected profile to the data terminals of all other workers. Every worker made an attempt to match the given elite profile. The crossover between the elite target profile and the natural skills of each worker successively generated machine speed profiles that could beat the given elite profile. This process repeated until the average efficiency of the whole group converged to an optimum. The proposed method was implemented in a leading Garment exporter in Sri Lanka. The results showed that the overall efficiency of the factory improved from 45% to 74%.