Robot track tracing method based on Skinner operant conditioning automata

Abstract

The invention relates to the field of mobile robot track tracing, in particular to a robot track tracing method based on a Skinner operant conditioning automata. According to the robot track tracing method, firstly, an operation and state set of a robot is established, a possibility set from corresponding states to operations is established, and the sets are uniformly distributed; secondly, one operation is selected randomly, the corresponding position change is calculated, an orientation function is calculated according to a distance from a target track, action possibility distribution is adjusted based on an operant conditioning theory according to the orientation function, and a system entropy is calculated; thirdly, when the system entropy is close to a minimum value, studying is finished. At the moment, a possibility matrix is optimal. According to the robot track tracing method, operant conditioning behaviors of humans and animals can be well simulated, the intelligent level of robots can be improved to endow the robots with relatively strong abilities of self-learning, self-organization and self-adaption, self-control on condition parameters can be realized, and track tracing can be successfully carried out.

Description

technical field [0001] The invention relates to the field of trajectory tracking of mobile robots, in particular to a robot trajectory tracking method based on Skinner (Skinner) operating conditional reflex automata. Background technique [0002] With the development of autonomous mobile robot technology, the application fields of autonomous mobile robots are becoming more and more extensive. It can replace humans to reach many unreachable or dangerous environments, such as fire and earthquake search and rescue robots; it can also replace humans to do some service work, such as museum tour guides. The trajectory tracking motion control of mobile robots can not only be directly used in the fields of tracking targets, robot formations, etc., but also, tracking lines is a simplification of environmental information, which is conducive to the development of more effective algorithms for autonomous vehicles in complex environments. on the mobile robot. [0003] Classical contro...

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Problems solved by technology

[0003] Classical control methods and modern control methods are commonly used mobile robot trajectory tracking control methods. Although they are relatively mature in application, they cannot adjust parameters independently. For the same algorithm to be used in different robots and different environments, manual adjustment of parameters is required.

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