Robot Training Under Conditions of Incomplete Information

The development of the author's works about adaptive algorithms of teaching the robotic systems with the help of operator is described here. An operator is assumed to be an experience decision-maker and sane carrier of a target which the robotic system needs to achieve. The works characteristic is that the robotic system's behavior is not specified a priori (as standard) but is formed adaptively based on the information about the situation and decisions made by a decision-maker. In this scheme the robotic system and the decision-maker can cooperate in the normal operation mode of the robotic system or in the time sharing mode with the possibility to plan actively the experiment on the robotic system. If the adaptive scheme is chosen, there are teaching stages and operating stages of the robotic system. At that the decision-maker can act slowly having the possibility to weigh the decision made. This way allows the robotic system reacting flexibly by switching between preset models and respond to the environment instability. The data integrity about the environment condition and about target preferences of an operator plays a very important role in robotic system work. The effective work of the robotic system depends on the effective settings of a preference model of the robotic system based on the the decision-maker's decisions and on the effective control. The influence of settings and control factors on the index of effectiveness of the robotic system is subject of this work. The uncertainty may be caused by the data flow limitation received by the operator on the stage of the model setting. Introduction The conditions of the robotic systems operation during implementation of their functions in different application fields may be different – from manipulation to autonomous problem solving and necessary interaction in a group. At that, the role of a human, operator and/or decision-maker, with a priori or current definition of targets may vary over a wide range. Hereinafter speaking about robotic systems we will also refer to a person who directly or indirectly participates in the work of the robotic system and is a part of it. The most part of contexts in which the robotic systems operation is considered to have design character, i.e. there are target and problem, the solving of which the robotic system task providing the quality defines by the metric. At that the access time as a rule is final and is part …