Intelligent identification and remote collaboration method and system for robots

Abstract

The application relates to the technical field of robot intelligent identification, and discloses a robot intelligent identification and remote cooperation method and system, which comprises the following steps: performing disturbance detection on laser point cloud data and RGB image data to obtain a disturbance parameter group; performing state prediction on the laser point cloud data and the RGB image data based on the disturbance parameter group to obtain a multi-step predicted trajectory; performing task cooperation distribution on the multi-step predicted trajectory to obtain a tracking target trajectory; calculating a comprehensive control amount according to the tracking target trajectory, performing delay compensation on the comprehensive control amount, and generating a pre-compensation control instruction; the application realizes delay-free multi-robot cooperation, solves the cooperation failure problem caused by communication delay, and further realizes multi-robot task distribution and load balancing.

Images