Research of the Robot's Learning Effectiveness in the Changing Environment
This work addresses adaptive control for robotic systems in dynamic settings, but appears incremental as it builds on existing concepts without introducing major innovations.
The research tackles the problem of improving robot learning effectiveness in changing environments by developing adaptive algorithms that reflect operator goals, focusing on allocation problems.
The object of the research is the adaptive algorithms that are used by the operator when educating the robotic systems. Operator, being the target-setting subject, is interested in the goal that robotic systems, being the conductor of his targets (criteria), would provide a maximum effectiveness of these targets' (criteria's) achievement. Thus, the adaptive algorithms provide the adequate reflection of the operator's goals, found in the robotic systems' actions. This work considers potential possibilities of such target adaption of the robotic systems used for the class of the allocation problems.