Energy efficiency assessment of anthropomorphic manipulator control algorithm

Abstract

Abstract Currently, developers of robotic systems are very interested in intensively developing unmanned technologies, the concept of which is to use robots to perform routine, harmful and dangerous types of work without direct human participation, which is the key to ensuring safety and high efficiency of solving tasks. Active research is conducted in the field of artificial intelligence and the development of anthropomorphic robots (AR). Modern ARS are not yet able to completely replace a person when performing complex tasks in a dynamic environment. The inability of such robots to completely replace a human is due to the short duration of work in offline mode. The reasons for the short duration of the AP are the low capacity of modern batteries and high power consumption of software and hardware components of the robot. The solution to this problem is possible by developing and modifying mathematical methods and algorithms for performing target operations in order to minimize energy consumption. The article assesses the energy efficiency of the algorithm for copying control of an anthropomorphic manipulator.