Robot path planning method and robot planning route

Abstract

Embodiments of the invention provide a robot path planning method and a robot planning a route. The method comprises the following steps of according to a pose of a robot and control information of a speedometer, acquiring an initial pose of the robot; according to the initial pose and data observed by a sensor, creating a prior map; according to a rapid expansion tree algorithm of adaptive adjustment, calculating a global path used to control walking of the robot in the prior map; acquiring real-time detection data of the sensor of the robot, and determining whether the sensor detects a barrier in the global path when the robot is in a walking process; and when the sensor detects the barrier in the global path, establishing a dynamic window model to plan a local barrier avoiding route of the robot so as to make the robot avoid the barrier according to the local barrier avoiding route.

Description

technical field [0001] The invention relates to the field of robots, in particular to a robot path planning method and a robot for planning a path. Background technique [0002] With the rapid development of computer technology, sensor technology, artificial intelligence and other technologies, robot technology has become increasingly mature, and the mobile robot type is the most widely used, playing an increasingly important role in many industries such as home services, aerospace, and industry. The more important the role, these various robots are able to do the job well in specific environments. [0003] But the current robot still has many shortcomings. Because the working environment of the robot is unknown or uncertain in most cases, but the current robot cannot complete the specified route well in an unfamiliar environment. Contents of the invention [0004] In view of this, the purpose of the embodiments of the present invention is to provide a robot path plannin...

AI Technical Summary

Problems solved by technology

Because the working environment of the robot is unknown or uncertain in most cases, but the current robot is not very good at completing the specified route in an unfamiliar environment.

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