Context-Based Recommendation Techniques for Designing Robotic Process Automation

摘要

Systems and methods are provided for adding process tasks to the design of a robotic software process. The context recognition module recognizes the current state of the design process and transmits information about the current state to the recommendation module. The recommendation module evaluates the current state and identifies at least one appropriate process task to recommend in response to the current state. The recommendation module then recommends at least one process task to the human designer. If the designer accepts the recommendation, the design module adds the process task to the process design. The recommendation module may also use information about previous actions of processes and other processes when identifying appropriate process actions. The context recognition module and the recommendation module may each include at least one machine learning module, which may or may not be neural network based.