Algorithm for optimal planning of operations to eliminate the consequences of fires and emergencies by a heterogeneous group of autonomous mobile robots
Abstract
Algorithm for optimal planning of operations to eliminate the consequences of fires and emergencies by a heterogeneous group of autonomous mobile robots
Incoming article date: 28.03.2021An algorithm for planning work in a group of autonomous mobile robots performing the functions of eliminating the consequences of fires or emergency situations (ES) is proposed. Such a multi-agent robotic system (MRTS) should work effectively without the direct participation of an operator performing the functions of a decision maker (DM). The autonomy of the MRTS is due to the emergency conditions with foci of infection, dangerous for the stay of people. The paper proposes an approach and a corresponding algorithm for constructing a machine-learning model that solves the problem of optimal current planning for emergency response operations for MRTS, where an experienced decision-maker is the teacher.
Keywords: mobile robots, work area, job distribution, limited resources, linear programming problem, optimal planning, constraints